**What you will do** Let's do this. Let's change the world. We are seeking a Senior Data Scientist with expertise in quantitative pharmacology, PBPK/PK/PD modeling, and translational simulation to support biologics discovery. In this vital role, you will develop and apply fit-for-purpose mechanistic modeling and simulation approaches that help discovery teams interpret complex biological and pharmacology information, generate testable hypotheses, and make data-driven decisions. You will work with appropriate scientific data in secure, governed environments while ensuring modeling assumptions, documentation, and outputs are reproducible and decision-ready. The successful candidate will work in a collaborative, multidisciplinary environment, partnering with scientists, data scientists, translational modelers, pharmacology experts, and discovery teams to design modeling strategies, evaluate uncertainty, and translate quantitative insight into actionable recommendations. **Key Responsibilities** + Develop and apply PBPK, TMDD, PK/PD, exposure-response, and related quantitative models for biologics discovery and translational questions + Translate complex scientific information into quantitative assumptions, scenarios, and simulations that support model-informed decision-making + Build reproducible workflows for parameter estimation, model calibration, sensitivity and uncertainty analysis, documentation, and review + Apply statistical, machine learning, or Bayesian methods where appropriate to support parameter inference, model updating, and scenario analysis + Partner with experimental and translational teams to align modeling plans, interpret results, and identify fit-for-purpose data needs + Communicate modeling assumptions, limitations, uncertainty, findings, and recommendations clearly through reports, visualizations,



and presentations + Contribute to scalable model-informed drug design practices and reusable modeling frameworks that can support biologics discovery programs **What we expect of you** We are all different, yet we all use our unique contributions to serve patients. The collaborative qualified we seek is a Senior Data Scientist with these qualifications. **Basic Qualifications** Doctorate degree with 4+yrs in Pharmacometrics, Quantitative Pharmacology, Pharmacokinetics, Bioengineering, Biomedical Engineering, Computational Biology, Applied Mathematics, Statistics, Data Science, or a related field Or Master's degree and 8+years of directly related experience **Preferred Qualifications** + Experience developing PBPK, TMDD, PK/PD, exposure-response, quantitative systems pharmacology, or other mechanistic models for biologics or therapeutic discovery + Strong understanding of biologics pharmacology, target-mediated drug disposition, translational scaling, and cross-species extrapolation + Experience working with scientific, preclinical, translational, or literature-derived data sources in a data-governed environment + Proficiency with scientific computing and modeling tools such as R, Python, MATLAB, NONMEM, Monolix, mrgsolve, Stan, PyMC, SimBiology, or related platforms + Experience with model calibration, parameter estimation, sensitivity analysis, uncertainty quantification, simulation-based study design, and model documentation + Ability to translate quantitative models, assumptions, and uncertainty into clear recommendations for cross-functional scientific stakeholders + Experience supporting biologics, antibodies, protein therapeutics, translational science, quantitative pharmacology, or early drug discovery + Familiarity with reproducible scientific computing practices, including version control, workflow automation, code review, testing, documentation, and data provenance + Strong scientific communication skills, with peer-reviewed publications in venues such as CPT: Pharmacometrics & Systems Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics, Clinical Pharmacokinetics, or comparable journals; candidates are encouraged to highlight representative publications on their resume.

📌 Senior Data Scientist (Hyderabad)
🏢 AMGEN
📍 Hyderabad