IR Jobs in Hyderabad

Scope: This role is responsible for executing chemical reactions to synthesize required quantities of molecules/compounds as per client specifications, using efficient routes and techniques. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules/compounds, ensuring proper reagents and equipment (e.g., glassware, stirrers, vacuum pumps) are used while maintaining specified conditions (temperature, pressure). Safety Compliance & Risk Mitigation: Understand and discuss the Material Safety Data Sheet (MSDS) with team members. Identify and mitigate any potential safety risks with supervisor guidance. Multi-Reaction Execution: Plan and execute multiple reactions in parallel to meet project timelines, ensuring optimum usage of resources with minimal wastage. Reaction Monitoring & Analysis: Monitor reactions using analytical techniques, identify appropriate workup and purification methods, and evaluate the results. Produce intermediary/final compounds of the desired quality. Reporting & Documentation: Analyze analytical data, interpret results, and document findings accurately in lab notebooks. Prepare reports as required by the client, maintaining data integrity and IP confidentiality. Safety and Quality Practices: Follow good laboratory practices, ensuring maintenance of equipment and instruments according to SOPs. Maintain proper housekeeping norms in the lab. Team Development & Morale: Support team skill development by providing one-on-one discussions, organizing training sessions, and promoting further education programs to improve knowledge in organic chemistry and analytical techniques. Functional/Technical Skills: Knowledge of Chemistry & Execution: Strong understanding of organic chemistry, particularly synthesis, and execution techniques. Safety Protocols: Deep knowledge of safety and quality systems in laboratory environments. IP & Confidentiality: Awareness of IP protection and maintaining data integrity and confidentiality. Resource Optimization: Ability to conduct cost-benefit analysis for optimum resource usage. Required Qualifications: Educational Requirements: M.Sc. in Organic/Medicinal Chemistry with 1 5 years of relevant experience. Additional Preferences: 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.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Summary We are Novartis. Join us and help us reimagine medicine. • Novartis mission: At Novartis, we reimagine medicines to improve and extend people’s lives.• Global Clinical Supply Vision: To become an intelligent, agile organization to deliver more products to more patients more efficiently through empowered and highly capable Global Clinical Supply teams. • Clinical Trial Supply Manager Vision: Be a trusted business partner by designing & delivering clinical supplies to serve our patients with excellenceAbout the RoleHSEMajor accountabilities: • CTSM will be responsible for study supply leadership to ensure timely planning and execution of supply strategy for continued supply of clinical finished goods (supply drugs) to patients. • Study managers provides inputs in clinical study protocol, understand study design and are responsible for optimal clinical trial supply strategy in terms of packaging design and pro-active planning following a risk-based approach • Represent Global Clinical Supply as a single point of contact (SPOC) at trial level for the integrated Clinical Trial team (iCTT).·Accountability and leadership • Self awareness Open to seek and receive feedback Having Right attitude·Operational & Project excellence • Proactive in study planning and assigned portfolio • Ensures to have robust risk management (identification and mitigation of risks) and various scenarios to support decision-making process • Able to navigate through current processes and procedures , while focusing on continuous improvement • Setting priorities and holding self and others accountable to meet commitments. ·Stakeholder management & Interpersonal skills • Able to engage, influence, align and lead internal and external business partners • Ability to work well with diverse groups of people, handle conflict & challenging situations effectively and build formal and informal relationships·Communication Skills & Business mindset • Able to communicate effectively with different audiences • Ability to consider business necessities and financial indicators when taking decisions and managing budgets. ·Managing Change • Ability to effective rebound from set-backs and adversity when facing difficult situations • Ability to adopt to different situations and to operate effectively during times of uncertainty.Minimum Requirements:Work Experience: • Functional Breadth. • Managing Crises. • People Challenges. • Collaborating across boundaries. • Operations Management and Execution. • Project Management. • 3-4 years relevant experience.Skills: • Advanced Project Management. • Supply Chain Planning. • Supply-Chain Management. • Data & Digital Savviness with high learning agility • Knowledge of relevant regulations (GMP, HSE)Languages : • English.