Scientific Jobs in Bengaluru

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

Job Title: Senior R&D Scientist Downstream, Fast Trak Process Design & Validation Services Location: Bengaluru, India About the Role: We are seeking a Senior R&D Scientist Downstream to lead the technical development and execution of new or improved services aligned with our R&D strategic initiatives. This role focuses on downstream process development services and spans the full innovation cycle from defining specifications and designing solutions to validation and market launch support. You will work in close collaboration with R&D project managers and cross-functional teams to bring new bioprocess services to life. Key Responsibilities: Serve as the technical lead on innovation projects, working closely with R&D project managers and relevant departments to ensure successful project execution. Define and document technical specifications for new service and product developments based on customer and market requirements. Plan, execute, and report on technical studies, including risk assessments and experimental design, throughout various project stages. Lead and conduct verification and validation studies to ensure new services/products meet both technical and marketing requirements. Oversee lab setup and documentation in preparation for service commercialization. Ensure compliance with Environment, Health & Safety (EHS) standards and regulatory guidelines within laboratory operations. Qualifications: Bachelor s, Master s, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline. Minimum of 5 years of hands-on experience leading and delivering technical projects in a scientific or bioprocessing environment. Proven ability to work independently, troubleshoot complex problems, and think creatively to develop practical solutions. Experience managing multiple projects in parallel, with strong organizational and time-management skills. Excellent communication, reporting, and presentation skills, with the ability to tailor information to both technical and non-technical stakeholders. Preferred Experience: Familiarity with aseptic laboratory techniques. Working knowledge of Good Laboratory Practice (GLP). Experience in upstream or downstream biotechnology unit operations. Qualification : Bachelors, Masters, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline.

Key Responsibilities: Project Management & Execution: Lead and manage application projects related to Electronic Lab Notebooks (ELN) and data analytics. Prepare and track project plans, allocate work, track progress, and ensure end-to-end project delivery. Status & Performance Reporting: Regularly report project status, quality assurance activities, and performance to the customer. Present status reports and ensure the team is aligned with project goals. Documentation & Process Control: Maintain project documentation, including defect prevention checklists and project metrics. Collate status reports and other key documents for project tracking and stakeholder communication. Design & Architecture Reviews: Participate in design and architecture reviews, providing valuable inputs and suggestions. Identify any issues and drive them to resolution to ensure project continuity. Scope & Specification Management: Strategize and draft scoping documents and specifications to clearly communicate the project roadmap and ensure alignment with customer and stakeholder expectations. Cross-Functional Coordination: Collaborate with different teams within the life sciences group to ensure that project requirements are well-captured and reflected in project plans. Plan budgets and resources accordingly. Data Analytics & Dashboard Development: Develop and manage operational, scientific, and trending dashboards, ensuring data accuracy and actionable insights for the business and scientific teams. Validation & Qualification: Lead computer system validation (CSV) executions and the qualification of servers to ensure compliance with necessary standards and regulations. Key Skills: Electronic Lab Notebook (ELN): Expertise in ELN systems and their implementation, including data management, documentation, and integration into lab processes. Project Management: Proficiency in project management tools and methodologies to ensure smooth project execution, including planning, tracking, and resource allocation. Data Analytics & Dashboarding: Strong skills in creating and managing dashboards that provide operational, scientific, and trending data insights for decision-making. Computer System Validation (CSV): Experience in performing system validation activities, ensuring compliance with regulatory standards and guidelines. Documentation & Reporting: Ability to maintain accurate documentation, such as defect prevention checklists, metrics, and status reports. Skilled in presenting information clearly to stakeholders. Cross-Team Collaboration: Strong ability to coordinate with different teams, capture requirements, and plan resources and budgets for each build order, ensuring smooth execution. Quality Assurance: Ensuring that quality assurance activities are in place throughout the project lifecycle, maintaining high standards of work and compliance. Competencies: Business Acumen: Understanding of the business impact of project outcomes and making decisions that align with business goals and customer needs. Presentation & Communication Skills: Strong verbal and written communication skills, with the ability to present complex project details and data insights to stakeholders. Interpersonal Skills: Ability to build strong working relationships with cross-functional teams and stakeholders, ensuring effective collaboration and issue resolution. Team Management: Experience managing project teams, guiding them through day-to-day activities, and providing product perspective and solutions. Negotiation Skills: Ability to negotiate timelines, budgets, and resources with stakeholders and vendors to achieve the best outcomes for the project. Stakeholder Management: Skilled in managing expectations and requirements of internal and external stakeholders, ensuring alignment and satisfaction. Qualification : Bachelors / Masters (Electronic and Instrumentation / Computer Science / IT /Chemistry) with 8 - 10 years of experience.

Manager - Key Opinion Leader (KOL) Management Location: Bengaluru Department: Operations Clinical Engagement Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Our mission is to save lives through connected healthcare, providing real-time monitoring that enables early detection of clinical deterioration, improves patient safety, and enhances outcomes. Trusted by hospitals across India, the USA, and Africa, Dozee is pioneering the future of patient care. Role Overview As a Manager - Key Opinion Leader (KOL) Management, you will play a crucial role in building strong relationships with healthcare professionals in partner hospitals. You will engage with senior doctors, medical directors, and department heads to communicate Dozee s research, clinical evidence, and product impact, helping them understand how our solutions can enhance patient safety and operational efficiency. Key Responsibilities Stakeholder Engagement Develop and nurture relationships with senior doctors, medical directors, and key decision-makers in partner hospitals. Conduct one-on-one meetings to understand their needs, address concerns, and provide tailored solutions. Act as the primary point of contact for KOLs, ensuring consistent and meaningful communication. Research & Product Advocacy Present Dozee s clinical evidence and product features to healthcare professionals in a clear, compelling manner. Showcase the impact of Dozee s solutions on patient safety and hospital efficiency. Gather feedback from KOLs to guide product improvements and share insights with internal teams. Relationship Management & Strategic Collaboration Serve as the key liaison between Dozee and the medical community, promoting trust and long-term partnerships. Collaborate with sales, marketing, and R&D teams to align KOL engagement strategies with business goals. Assist in co-creating evidence-based marketing materials and content with KOL input. Monitoring & Reporting Maintain detailed records of KOL interactions and monitor engagement progress. Prepare regular reports on KOL activities, feedback, and impact on business outcomes. Requirements Experience & Qualifications Bachelor s or Master s degree in life sciences, healthcare, or a related field. 5+ years of experience in a Senior Medical Representative or similar role. Expertise in engaging with doctors on research findings and medical trial data. In-depth understanding of the healthcare ecosystem and hospital operations. Skills Strong interpersonal and presentation skills with the ability to effectively communicate complex clinical data. Confident, persuasive, and comfortable interacting with senior healthcare professionals. Ability to travel extensively (up to 15+ days per month). Why Join Dozee Be part of an innovative, mission-driven company transforming healthcare with AI. Engage with top healthcare professionals and influence product adoption in leading hospitals. Contribute to a company that has already impacted 1 million+ patients and saved over 10 million nursing hours. Qualification : Bachelors or Masters degree in life sciences, healthcare or a related field

Medical Review Physician 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a detail-oriented and experienced Medical Review Physician to join our pharmacovigilance team in Bangalore. In this role, you will be responsible for the medical evaluation of individual case safety reports (ICSRs) across multiple data sources and therapeutic areas, ensuring compliance with global regulatory standards and internal quality benchmarks. Key Responsibilities Medical Review & Safety Assessment Perform medical review of both serious and non-serious ICSRs, with a focus on seriousness, expectedness, causality, and narrative quality. Review ICSRs originating from multiple sources: spontaneous reports, literature, regulatory authorities, solicited sources, and clinical trials. Evaluate and verify the selection of adverse events from source documents, assign appropriate MedDRA codes, assess product labelling, and review narratives for accuracy and completeness. Support triage activities and determine seriousness and relatedness across assigned products. Product & Process Expertise Maintain up-to-date knowledge of product portfolios and safety profiles across therapeutic areas, including Oncology, Respiratory, Immunology, Neuroscience, and Rare Diseases. Ensure timely completion of all medical review activities in line with regulatory timelines and service level agreements (SLAs). Contribute to process improvement initiatives, including implementation of quality control checks and feedback mechanisms. Collaboration & Training Provide expert medical guidance to case processors, data entry associates, and quality reviewers to address queries and discrepancies. Mentor and train team members in GVP concepts, case processing standards, and disease-specific medical knowledge. Collaborate with internal functional teams and client therapeutic groups to resolve case-related issues efficiently. Compliance & Quality Stay updated with ICH-GCP, GVP modules, 21 CFR, and other relevant regulatory guidelines. Deliver consistent, high-quality output while ensuring compliance with client-specific conventions and global safety standards. Take on additional tasks as assigned by the team lead/manager, adapting to shifting business priorities when necessary. Candidate Profile Education: MBBS or MD is required. Experience: 2 4 years of hands-on experience as a Medical Reviewer for ICSRs. Regulatory Knowledge: Strong understanding of ICH-GCP, Good Pharmacovigilance Practices (GVP), 21 CFR, and other international regulatory requirements. Technical Skills: Proficient in MS Office Suite (Outlook, Excel, Word, PowerPoint). Soft Skills: Excellent analytical, communication, and mentoring skills; ability to work independently and as part of a cross-functional team. Be part of a high-impact team contributing to global drug safety. Collaborate across a wide range of therapeutic areas and product portfolios. Develop and grow within a supportive, knowledge-driven work environment. Engage in continuous learning and professional development in a critical area of healthcare. Qualification : MBBS or MD is required

Scope: This role is responsible for executing chemical reactions to synthesize the required quantities of molecules/compounds as per client specifications, employing efficient synthetic routes and techniques. Key Responsibilities: Reaction Setup & Execution: Understand and follow project requirements, including the synthetic route as specified by the client. Plan and execute reactions using the appropriate reagents and equipment (glassware, stirrers, vacuum pumps, etc.) while maintaining specified conditions (temperature, pressure, etc.). Ensure the parallel execution of multiple reactions, meeting productivity benchmarks for reactions, steps, compounds, and timelines. Monitor reaction progress using analytical techniques, making adjustments as necessary to ensure high quality and yield. Execute appropriate workup and purification techniques to achieve intermediates and final compounds of desired quality. Safety & Risk Mitigation: Discuss and understand the Material Safety Data Sheets (MSDS) with team members to ensure awareness of safety protocols. Identify potential safety risks and mitigate them with the help of a supervisor, ensuring safe lab practices. Follow all safety and quality control systems and maintain proper equipment use as per SOPs and laboratory housekeeping norms. Data Integrity & Reporting: Maintain strict documentation of reactions, observations, and research findings in lab notebooks to ensure data integrity. Ensure compliance with IP confidentiality policies and document results as per client specifications. Prepare final reports to summarize synthesis processes, results, and quality assessments. Team Development & Morale: Foster a learning environment by improving team members knowledge in organic chemistry (synthesis) and analytical techniques through one-on-one discussions, training programs, and educational sessions. Support team skill development and ensure a positive, productive atmosphere in the lab. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry, particularly in the execution of synthetic reactions and compound synthesis. Safety Protocols: Proficiency in applying safety protocols and ensuring laboratory safety. Data Integrity & IP Confidentiality: Strong understanding of the importance of data integrity and adherence to IP confidentiality guidelines. Resource Management: Ability to perform cost-benefit analysis, optimizing the use of reagents, resources, and equipment for efficient lab operation. Required Qualifications & Experience: Educational Qualification: M.Sc. in Organic or Medicinal Chemistry with 1-5 years of relevant experience. Preferred Qualifications: Candidates with research publications in leading scientific journals are preferred. Qualification : M.Sc. in Organic or Medicinal Chemistry with 1-5 years of relevant experience.

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Scope: This role is responsible for executing chemical reactions to synthesize required quantities of molecules/compounds according to client specifications, utilizing efficient synthetic routes and techniques. Key Responsibilities: Reaction Setup & Execution: Understand and execute reactions for synthesizing target molecules/compounds according to project specifications. Plan and execute reactions using proper reagents and equipment (e.g., glassware, stirrers, vacuum pumps) while maintaining specified conditions (temperature, pressure). Ensure parallel execution of multiple reactions. Safety & Risk Mitigation: Discuss and understand the Material Safety Data Sheet (MSDS) with team members. Identify and mitigate potential safety risks with supervisor guidance. Follow safety and quality systems, maintaining laboratory housekeeping and proper equipment usage. Analysis & Reporting: Monitor the reaction progress using analytical techniques. Identify and apply appropriate workup and purification techniques to produce high-quality intermediate/final compounds. Analyze, evaluate, and interpret analytical data from synthesis, providing accurate reports. Document reactions, research findings, and observations in lab notebooks to ensure data integrity. Productivity & Compliance: Meet productivity benchmarks regarding the number of reactions, steps, compounds, quality, and timelines. Maintain strict IP confidentiality and adhere to all policies regarding data integrity. Prepare final reports as required by clients and internal stakeholders. Team Development: Foster a learning environment by improving team knowledge in organic chemistry and analytical techniques. Conduct one-on-one discussions, classroom training, and project-based training to enhance skills. Ensure the team s morale and productivity through continuous skill development. Functional/Technical Skills: Chemistry Expertise: Knowledge of organic chemistry, particularly synthesis and execution techniques. Safety Compliance: Strong understanding of safety protocols in laboratory environments. IP & Confidentiality: Awareness of IP protection, confidentiality, and maintaining data integrity. Resource Optimization: Ability to conduct cost-benefit analysis and ensure the optimum usage of resources. Required Qualifications: Educational Requirements: M.Sc. in Organic/Medicinal Chemistry with 1 5 years of relevant experience. Preferred Qualifications: Candidates with research publications in leading journals are preferred. Equal Employment Opportunity Statement: Aragen provides equal employment opportunities to all individuals regardless of age, color, national origin, citizenship status, mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity, genetic information, marital status, veteran status, or any characteristic protected by applicable legislation or local law. Reasonable accommodations will be provided for qualified individuals with disabilities. Qualification : M.Sc. in Organic/Medicinal Chemistry with 15 years of relevant experience.

Work Schedule Other Environmental Conditions Office Job Description Coordinates, oversees and completes functions on assigned trial activities detailed on the task matrix. Performs department, Internal, Country and Investigator file reviews as assigned and documents findings. Follows up for resolution of findings and raises whenever vital. Ensures allocated tasks are performed on time, within budget and to a high quality standard. Bring ups in cases of variances (overburn/underburn) for self and junior PSCs, reviews and re-distributes the tasks based on junior PSC s free capacity Supports the maintenance and oversight of study specific documentation and global support with specific systems, tools and trackers to: study team lists, tracking of project specific training requirements, system access management for organization/vendor/clients, and tracking of project level activity plans in appropriate system. P ro v i de s s y s te m ( i. e . C T M S , O r a c le A c t i v at e & e T MF) s u pp ort b y m a n ag ing t he a cc e ss r eq u e s t s, supervising s t u d y l e v e l d o c u me n t s, ma i n t a ining a u d it r ead in e s s a nd presenting t he n o n - c o mp li a n c e t o t he s t u d y tea m and suggesting resolution . Pe r f or m s adm inis t r at i v e ta s k s on a ssi g n e d t ri a ls i n c l u d i n g , b ut not li m i te d t o: t i me ly p ro c e ss i ng o f d o c u m e n t s s e nt t o CR G ' s /C li e nt e T MF as required, pe r f or m ing C R G ' s /C li e nt e T MF r e v i ew s a nd c oo r d in at i n g and proposing is s ue r e so l u t io n , pe r f or m ing ma s s ma ilin g s a nd c o m m un i c at ions a s n e e ded , p ro v i d i ng d o c u me n t s a nd r ep or t s t o in te r n a l tea m membe rs. Su pp or t s s c h ed ul i ng a nd o r ga niz at ion o f c li e nt a nd / or i n te rn a l meet in g s w i t h c o mp l et ion a nd d is t ri b u t i on of r e l ate d meet ing m i n u te s and follow up for closure of action items, if required. E x p or t s a nd r e c o n c il e s s t u d y met ri c s r ep or t s, and if required analyzes and identifies issues (if involved in a Lead role . Maintains and regularly checks for correctness of vendor trackers. Drives and coordinates the compilation of Investigator Site File (ISF) template, pharmacy binder with instruction from the Clinical Team Manager. Attends Kick off and Project Launch meetings and takes notes when required, supports initial study set-up. Ed u c at ion a nd E x pe ri e n c e : Hi g h / S e c on da r y s c hool d i p lo m a/ eq ui v a l e nt a nd r e l e v a nt f or ma l a c adem i c / v o c at ion a l q u a l i f i c at ion T e c hni c a l p osi t io n s ma y r e q uire a c e r t i f i c at e P r e v ious e x pe ri e n c e t h a t p ro v i de s t he k no w l edge , s k il l s , a nd ab ili t i e s t o pe r f o rm t h e j ob ( c o mpa r ab le t o a t l ea st 0 to 4 y ea rs ) . Qualification : High / Secondary school diploma/ equivalent and relevant formal academic / vocational qualification

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Sr. Product Manager / Product Manager Location: Bangalore Experience: At least 4-5 years in Pharma Marketing Industry: Pharmaceutical Portfolio: Gynae/CP Portfolio Education: Bachelor of Pharmacy (B. Pharma) Master of Business Administration (MBA) in Marketing Role Overview We are looking for an experienced Product Manager or Senior Product Manager to join our team in Bangalore. In this role, you will be responsible for developing and implementing marketing strategies for our Gynae/CP portfolio, collaborating with various teams to drive successful product launches and ensuring the ongoing growth and profitability of our pharmaceutical brands. Key Responsibilities Develop Marketing Strategies: Create and implement effective marketing strategies and communication plans for assigned brands, ensuring alignment with overall business goals. Collaboration with Sales Team: Work closely with the sales team to ensure the successful execution of marketing strategies and initiatives. Campaign Planning and Execution: Plan and execute both strategic and tactical marketing campaigns, ensuring successful product promotions and achieving objectives. Track ROI: Monitor and analyze promotional investments to ensure maximum return on investment (ROI). Cross-functional Coordination: Coordinate with internal departments (such as R&D, supply chain, regulatory, and sales) to ensure smooth marketing operations. Provide Support to Field Colleagues: Offer promotional support, medical advice, and strategic insights to field teams. Review Meetings: Organize and participate in meetings with field colleagues and head office to track progress and results. Monitor Brand Progress: Collaborate with senior sales managers to monitor the progress of assigned brands and ensure business goals are being met. New Product Launches: Identify new product opportunities and successfully launch new products in accordance with company strategies. Brand and Therapy Plans: Develop and prepare annual brand and therapy plans, ensuring timely execution. Market Research: Conduct research using both external and internal data sources to identify opportunities for growth and product improvements. Customer Relationship Management: Manage relationships with Key Opinion Leaders (KOLs) and Key Business Influencers (KBIs) in collaboration with the CRM and sales teams. Conference & CME Participation: Plan and execute participation in national and state conferences and Continuing Medical Education (CME) programs, driving innovation in participation and execution. Sales Review Meetings: Actively participate in sales review meetings and strategy meetings to ensure the alignment of marketing initiatives with sales objectives. Budget Management: Ensure the optimal utilization of promotional expenses within allocated budgets. Sales Team Training: Conduct fieldwork and on-the-job training with the sales team to improve performance and achieve business goals. Skills Required Brand Management: Experience managing brands throughout their lifecycle, from inception to market growth and maturity. Communication Skills: Strong verbal and written communication skills to effectively interact with internal teams, clients, and stakeholders. Analytical Skills: Ability to analyze data, extract actionable insights, and drive decisions based on those insights. Scientific Knowledge: A solid understanding of scientific concepts and the ability to translate them into actionable marketing strategies. Leadership Skills: Strong leadership capabilities to drive cross-functional collaboration and manage teams effectively. Interpersonal Skills: Excellent interpersonal skills, fostering collaboration and maintaining positive relationships with various stakeholders. Adaptability: Ability to unlearn and re-learn, staying open to new ideas and strategies. Presentation Skills: Ability to effectively present ideas, strategies, and insights to internal and external stakeholders. New Product Launch Experience: Proven experience in launching new products and managing their growth within the market. Preferred Qualifications A Bachelor of Pharmacy (B. Pharma) degree combined with an MBA in Marketing. 4-5 years of experience in Pharma Marketing, specifically in the Gynae/CP portfolio. Proven track record in product management, brand development, and successful marketing campaigns. Ability to work in a high-paced, target-driven environment. If you're passionate about the pharmaceutical industry and enjoy managing products that make a difference, this is the perfect opportunity for you. We offer a dynamic and collaborative work environment where you will have the opportunity to make a direct impact on the success of our products. Join us in driving meaningful innovations and delivering life-changing solutions to our customers. Qualification : A Bachelor of Pharmacy (B. Pharma) degree combined with an MBA in Marketing.

Your Role: Senior Software Engineer As a Senior Software Engineer, you'll play a key role in designing and developing robust software solutions for our Particle Characterization and Counting instruments. This is a full-time, on-site position at our India Development Center (IDC), reporting to the Site Leader, IDC. You ll be part of a collaborative Biotech Software Team, working across the full software development lifecycle from design through deployment bringing innovative, high-performance solutions to life. In this role, you will: Design and develop full-stack software for Windows and web-based scientific instruments. Contribute to all phases of the development lifecycle including requirements, architecture, coding, testing, and documentation. Take ownership of specific software modules and drive continuous improvements. Collaborate with stakeholders to define user requirements and develop technical solutions. Conduct feasibility studies, technical reviews, risk assessments, and code inspections. Support software maintenance, bug fixes, and enhancements. Embrace an Agile development environment focused on iterative releases and continuous quality. What You ll Bring: Essential Requirements: Bachelor s degree in Computer Science, Software Engineering, or related discipline. Minimum 4 years of hands-on experience in commercial software development using C#. Experience with either: Web technologies (Node.js, Angular or React, HTML5, CSS, Java backend), or Windows technologies (WinForms, WPF). Strong grasp of software design principles and development best practices. Excellent problem-solving, analytical, and communication skills. Proven ability to work in cross-functional, collaborative environments. Highly motivated, detail-oriented, and quality-focused. Preferred Qualifications: Experience working in regulated environments (medical device or life sciences). Familiarity with Agile/Scrum methodologies. Exposure to CI/CD tools (e.g., Jenkins), containerization (e.g., Docker), and Java. Background in developing software for the life sciences or healthcare domain. Be part of a global mission to accelerate answers in healthcare. Work with a team of scientists, engineers, and innovators who understand the lab and the stakes. Thrive in a culture that values diversity, innovation, and your professional growth. Leverage the Danaher Business System (DBS) to turn your ideas into real-world impact. Qualification : Bachelors degree in Computer Science, Software Engineering, or related discipline.

Empower Innovation as a Technical Product Owner I Location: Bangalore, India (On-site) Department: Software Engineering Reports to: Senior Engineering Manager In this role, you'll guide a cross-functional agile team of designers, testers, and developers helping to shape our product roadmap and ensure delivery of high-value, user-centric software. What You ll Do Own the Product Backlog: Define, prioritize, and maintain a well-organized backlog that drives product development. Write detailed user stories and acceptance criteria to guide the development team. Translate Needs into Features: Gather and clarify requirements from stakeholders, participate in backlog grooming, sprint planning, reviews, and demos to ensure alignment and readiness. Collaborate on Strategy: Partner with the Product Manager to align team efforts with overall product goals and roadmap. Communicate the product vision to the development team to maintain clarity and purpose. Champion the User: Incorporate feedback from internal and external users to improve the product. Advocate for the customer by ensuring all deliverables meet real-world needs. Drive Validation & Insight: Lead internal evaluations, VOC analysis, and contribute to validation strategy and planning. Support formative evaluations of features and value testing. What You ll Bring Required Qualifications: Bachelor s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field. 12+ years of experience in software development, with deep understanding of Agile and Scrum methodologies. Proven experience in product ownership, with the ability to break down complex projects into actionable tasks. Strong leadership skills to motivate cross-functional teams and guide product delivery. Excellent communication and collaboration skills to align business and technical stakeholders. Proficiency in JIRA or similar work management tools. Strong analytical mindset and a comfort with ambiguity and fast-changing environments. Preferred Skills: Experience influencing product direction in a regulated or complex technical environment. Familiarity with Agile testing principles and ISTQB Foundation Certification (or equivalent). Strong organizational and time management skills. Prior exposure to scientific or laboratory workflows is a plus. Experience conducting internal customer evaluations and validation activities. Be part of a mission-driven organization improving human health through diagnostics and discovery. Join a culture that celebrates innovation, continuous learning, and diverse perspectives. Work with teams who understand the lab and the stakes because many of us come from it. Leverage Danaher s Business System (DBS) to drive process excellence and professional growth. Qualification : Bachelors degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.

Job Title: R&D Scientist Validation, Fast Trak Process Design & Validation Services Location: Bengaluru, India About the Role: We are looking for an R&D Scientist Validation to support the design, execution, and validation of new or improved services as part of our R&D strategic plan. This role will focus on validation services across the bioprocessing portfolio and involves working from early concept development through testing and final implementation. The position also contributes to lab and facility setup and ensures all necessary documentation is in place for successful service launches. Key Responsibilities: Provide technical support on innovation and development projects, collaborating with R&D project managers and cross-functional teams to ensure timely and efficient delivery. Assist in defining technical requirements based on customer and market needs to guide new service/product development. Help plan, assess risks, execute, and document technical studies at different stages of project development. Design and execute verification and validation studies to confirm alignment of service/product outputs with technical and marketing specifications. Support laboratory operations and ensure adherence to Environment, Health & Safety (EHS) standards and regulatory compliance. Qualifications: Bachelor s, Master s, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific field. Minimum of 3 years of experience supporting or leading technical projects within an R&D or bioprocessing environment. Strong problem-solving skills with a proactive, solution-oriented mindset and ability to work independently. Comfortable managing multiple projects simultaneously in a dynamic environment. Effective reporting and presentation skills, with the ability to tailor communication to various audiences. Preferred Experience: Familiarity with aseptic techniques and laboratory best practices. Working knowledge of Good Laboratory Practice (GLP) and scientific method principles. Qualification : Bachelors, Masters, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific field.

Investigator Payments Analyst Location: Bengaluru Job Overview: The Investigator Payments Analyst is responsible for supporting the delivery of all required start-up contracting activities for selected sponsors, studies, or multi-protocol programs. This includes pre-award activities and providing essential operational and financial contracting support. The role ensures compliance with sponsor requirements, regulatory guidelines, and project timelines. Essential Functions: Grant Estimates & Proposal Support: Develop simple investigator grant estimates and proposal text to support the proposal development process. Contracting Tools & Systems: Utilize and maintain contract and budget templates and contracting systems, tools, processes, and training materials for selected sponsors, ensuring alignment with the Scope of Work and Project Plan. Collaboration & Communication: Coordinate with sponsors, stakeholders, and RSU regions to ensure successful delivery of projects in compliance with sponsor requirements and the RSU Management Plan. Operational & Financial Support: Provide operational and financial contracting support to facilitate business development and efficient initiation and maintenance of clinical trials, ensuring compliance with regulatory requirements. Documentation Support: Assist in creating and reviewing scientific, technical, and administrative documentation to support business development and enable study initiation and maintenance. Contracting Intelligence: Contribute to the collection, interpretation, analysis, and dissemination of contracting intelligence for assigned studies and the company. Efficiency & Reporting: Ensure contracting efficiency and adherence to project timelines and financial goals, and report on performance metrics and out-of-scope activities. Compliance & Quality Standards: Ensure compliance with contract management and quality standards, providing administrative and operational support to investigators and managers as required. System & Database Management: Accurately complete and maintain internal systems (including CTMS), databases, tracking tools, timelines, and project plans. Qualifications: Education: Bachelor's degree required. Experience: At least 1 year of relevant experience, including demonstrable experience as a contract negotiator or equivalent combination of education, training, and experience. Skills & Knowledge: Negotiation & Communication: Strong negotiation and communication skills to facilitate contract discussions and maintain professional relationships with sponsors. Interpersonal Skills: Ability to work effectively in teams and with internal and external stakeholders. Technical Writing: Strong technical writing skills for creating and reviewing proposals and documentation. Clinical Trial Knowledge: Understanding of clinical trial environments and the drug development process. Regulatory Knowledge: Knowledge of GCP/ICH guidelines, applicable regulatory requirements, and SOPs. Organizational Skills: Excellent organizational and planning skills for managing contracting activities. Software Proficiency: Strong knowledge of Microsoft Office and other relevant software tools. Contract Management: Good understanding of clinical trial contract management, including pricing models, proposals, and budgets. Additional Skills: Ability to interpret pricing models, prepare proposals, bid grids, and budgets. Ability to work in a matrix team environment and build effective working relationships with sponsors, co-workers, and managers. Ability to exercise independent judgment when negotiating contracts and making decisions. This role offers an exciting opportunity for individuals who have a strong foundation in contract negotiation and management, along with an understanding of the clinical trial landscape. If you are a detail-oriented, proactive individual with a passion for working in the healthcare and clinical trial industries, we encourage you to apply. Qualification : Bachelor's degree required.

Technical Lead-Base Level (CTMS Setup) Location: Bengaluru (100% Home-based role) Job Overview: The Technical Lead will be responsible for developing, populating, and supporting templates related to clinical trial payments in the Clinical Trial Management System (CTMS) and other applicable payment systems. The role includes providing assistance and support to Contract & Centralized Services (CCS), business partners, and stakeholders in the use of CTMS for clinical trial payments. This is a fully remote position. Key Responsibilities: CTMS Payment Support: Support the study team training on CTMS payment processes and maintain data entry completeness for clinical trial payments. Issue Resolution & Tracking: Assist with complex issue resolution, resolve failed payments, track issue statuses, and attend meetings to review ongoing issues. Study Setup & Collaboration: Ensure proper study setup in CTMS, collaborate with business partners and stakeholders to address issues and ensure alignment with study goals. Template Creation & Revision: Create or revise payment templates in the CTMS and ensure their accuracy. Issue Management: Support issue resolution via the SAM tool, participate in team meetings, and provide support to other CCS CTMS regions. Adherence to Guidelines: Ensure that all services provided comply with client SOPs, WIs, policies, local regulatory requirements, and ICH-GCP guidelines. Additional Deliverables: Assist with any additional deliverables as assigned to meet project goals and ensure seamless study operations. Qualifications: Education: Bachelor's degree or equivalent in appropriate scientific or business disciplines. Experience: 2-4 years of experience in the pharmaceutical or clinical research industry, specifically in clinical trial payments, pricing, or budgeting. CTMS Experience: Strong hands-on experience with Clinical Trial Management Systems (CTMS) is a must; familiarity with EDC (Electronic Data Capture) systems is a plus. Communication Skills: Fluent in English, with excellent oral and written communication skills. Compliance Knowledge: Familiarity with healthcare compliance and other relevant regulations (e.g., HIPAA, FCPA, Safe Harbor, etc.). Analytical Skills: Strong analytical abilities and problem-solving skills to address challenges effectively. Cross-Functional Collaboration: Ability to work effectively in cross-functional teams and interact with various levels of the organization. PC & Database Management Skills: Proficiency with MS Office suite and database management tools. Work Style: Self-motivated with the ability to work independently and accomplish substantial tasks with minimal supervision. Virtual Work Experience: Previous experience working in a virtual environment and collaborating remotely. Desired Attributes: Innovative Spirit: Ability to bring forward creative solutions to complex problems. Interpersonal Skills: Strong ability to collaborate and maintain positive working relationships with team members and stakeholders. This position offers an exciting opportunity for an individual with a strong background in CTMS, clinical trial processes, and problem-solving abilities, seeking to work in a dynamic and fully remote environment. If you are a motivated professional with experience in clinical trial management and payments, we encourage you to apply. Qualification : Bachelor's degree or equivalent in appropriate scientific or business disciplines.