Amgen · 1 day ago
Senior Scientist: Data Analytics and Pharmacometric Modeling
South San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
3+ years expAmgen is a biotechnology company focused on serving patients living with serious illnesses. In this role, you will be part of the Clinical Pharmacology, Modeling and Simulation department, responsible for designing and executing predictive analytics strategies to support drug development across various therapeutic areas.
BiotechnologyHealth CareManufacturingPharmaceutical
Responsibilities
Designs modeling and simulation and analytics components of clinical drug development plans and provides expertise to project teams including plan, design, implementation and oversight of M&S plans for multiple programs in Amgen portfolio
Responsible for planning the analyses to integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics and disease states to optimize doses, dosage regimens and study designs
Contributes to the analysis of in-vitro and pre-clinical PK/PD data for selection of first in humans (FIH) dose levels and to IND submissions and documentation of appropriate reports
Make recommendations for clinical doses and dosing algorithms (including drug interaction advice, food effects, special group dosing etc.) to the clinical and Development teams and in regulatory documentation
Influences external environment through methods such as publication and presentations
Responsible for communicating with partners (e.g. clinical pharmacologists, clinical assay group, statistics) to ensure appropriate support for programs and studies
Provide leadership, guidance and advice in own field, and develop innovative and creative output based on interpretation and analysis
Qualification
Required
Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable]
Master's degree and 3 years of relevant experience
Bachelor's degree and 5 years of relevant experience
Preferred
PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields with equivalent professional degrees (e.g. MD, PharmD)
3+ years of experience in the life sciences, Biotechnology/Pharmaceutical Industry, consulting or post-doctoral training
Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plus
Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred
Experience in PK/PD modeling and population-based analyses/simulations with established track-record of model-based drug development in multiple therapeutic areas will be an advantage
Excellent interpersonal, technical, and communication skills to lead cross-functional teams
Previous record of scientific contributions through peer-reviewed articles and external presentations
Benefits
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible
Company
Amgen
Amgen is a biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10001+ employees
H1B Sponsorship
Amgen has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (429)
2024 (485)
2023 (485)
2022 (540)
2021 (460)
2020 (444)
Funding
Current Stage
Public CompanyTotal Funding
$28.5B2022-12-12Post Ipo Debt· $28.5B
1983-06-17IPO
Leadership Team
Robert Bradway
Chairman and Chief Executive Officer
Jay Bradner
Executive Vice President of R&D, and Chief Scientific Officer
Recent News
2026-01-05
Company data provided by crunchbase