Senior Scientist: Data Analytics and Pharmacometric Modeling

Amgen Inc. (IR); Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Amgen Hyderabad is seeking a Senior Scientist in Data Analytics and Pharmacometric Modeling to advance model-informed drug development. You will build PK/PD and quantitative systems pharmacology models using clinical and preclinical data to guide dose selection, study design, and development decisions.

The role emphasizes collaboration with CPMS, therapeutic area teams, and external partners to translate analyses into actionable insights and contribute to publications and regulatory submissions.

Qualifications

• Doctorate degree with 4+ years of relevant experience or Master’s with 8+ years or Bachelor’s with 10+ years of relevant experience.
• Experience in life sciences/pharmaceutical development or related fields is preferred.
• Hands-on experience developing and executing data analytics algorithms and pharmacometric models.

Responsibilities

• Develop and implement modeling, simulation, and analytics strategies for clinical drug development programs.
• Use PK/PD, patient-level, and disease data to inform dose selection and study design.
• Analyze in vitro and preclinical PK/PD data to support FIH dose selection and regulatory submissions.
• Build pharmacometric, PK/PD, and quantitative systems pharmacology models to address program questions.
• Collaborate with clinical pharmacologists, statisticians, and translational scientists to integrate insights into strategy.
• Explore machine learning and AI approaches to improve decision-making in development.

Skills

Python

R

MATLAB

NONMEM

SAS

Pharmacometric modeling

Education

PhD in a quantitative discipline

Tools

S-Plus

Job description

Career Category Clinical Job Description Senior Scientist, Data Analytics and Pharmacometric Modeling

Join Amgen’s Clinical Pharmacology, Modeling and Simulation (CPMS) team as a Senior Scientist and help shape the future of drug development through data science, predictive analytics, pharmacometrics, and quantitative systems pharmacology. In this role, you will apply innovative modeling and simulation approaches to support critical decisions across clinical development programs and therapeutic areas. You will work in a collaborative, science-driven environment alongside CPMS colleagues, therapeutic area teams, external partners, and cross-functional R&D stakeholders. This is an opportunity to contribute to model-informed drug development, influence study design and dose selection, and help bring meaningful therapies to patients. The ideal candidate is a quantitative scientist who enjoys working with complex biological and clinical datasets, translating analyses into actionable insights, and communicating results clearly to multidisciplinary teams. You will have the opportunity to use established pharmacometric methods as well as emerging machine learning and AI-enabled tools to solve high-impact development questions.

The typical job responsibilities may include :

• Develop and implement modeling, simulation, and analytics strategies that support clinical drug development programs across Amgen’s portfolio.
• Use pharmacokinetic, pharmacodynamic, patient-level, and disease data to inform dose selection, dosing regimens, study designs, and development decisions.
• Analyze in vitro and preclinical PK/PD data to support first-in-human dose selection and contribute to IND submissions and supporting documentation.
• Build and apply pharmacometric, PK/PD, quantitative systems pharmacology, and predictive analytics models to address key program questions.
• Partner with clinical pharmacologists, statisticians, translational scientists, clinical teams, and other stakeholders to integrate quantitative insights into program strategy.
• Explore and recommend innovative data science, machine learning, and AI-enabled approaches that can improve decision-making and increase development efficiency.
• Communicate modeling results and recommendations clearly through study reports, regulatory documents, presentations, publications, and cross-functional discussions.
• Contribute to the external scientific community through publications, presentations, and professional engagement.

Basic Qualifications

• Doctorate degree and 4 years of relevant experience; or Master’s degree and 8 years of relevant experience; or Bachelor’s degree and 10 years of relevant experience.

Preferred Qualifications

• Advanced training in statistical or data sciences, computer science, pharmaceutical sciences, engineering, clinical pharmacology, pharmacometrics, or a related quantitative discipline; PhD, MD, PharmD, or equivalent experience preferred.
• Experience in life sciences, biotechnology, pharmaceutical development, consulting, or postdoctoral research, with a strong interest in applying quantitative methods to drug development.
• Hands-on experience developing, scripting, and executing data analytics algorithms, statistical models, or pharmacometric models.
• Experience with tools such as Python, R, MATLAB, NONMEM, SAS, S-Plus, or related modeling and analytics platforms.
• Familiarity with machine learning, AI-enabled methods, or advanced analytics applied to life science datasets is a plus.
• Experience with PK/PD modeling, population-based analyses, clinical trial simulations, or model-informed drug development is highly valued.
• Strong communication skills, including the ability to explain quantitative analyses and recommendations to scientific, clinical, and cross-functional audiences.
• A collaborative mindset, scientific curiosity, and the ability to influence and contribute within multidisciplinary teams.
• A record of scientific contribution through publications, presentations, regulatory support, or external engagement is desirable.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen