Senior Principal Scientist, Data Analytics and Pharmacometric Modeling
Location : On Site, San Francisco, CA
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Time Type : Full time
Posted : 3 Days Ago
Job Requisition ID : R-187174
Career Category
Scientific
Job Description
HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission to serve patients drives all that we do.
It is key to our becoming one of the world’s leading biotechnology companies.
What you will do
The Clinical Pharmacology, Modeling & Simulation Department at Amgen is seeking a Senior Principal Scientist to join the cross-functional global drug development teams.
The Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
Responsibilities include :
- Design and implement AI / ML driven analytics to support clinical drug development plans.
- Expand pharmacometric modeling to include information from novel data sources.
- Adapt data science algorithms for modeling clinical trial data.
- Plan and implement analyses to integrate knowledge of pharmacokinetics, pharmacodynamics, and patient characteristics.
- Influence external environment through publication and presentations.
- Collaborate with partners to ensure appropriate support for programs and studies.
- Provide thought leadership and develop innovative and creative output.
- May mentor scientific staff.
What we expect of you
The dynamic professional we seek is a leader with these qualifications :
Basic Qualifications :
- Doctorate degree in Applied mathematics, Computer Science, Engineering or related field and 3 years of industry / academic experience
- Master’s degree and 6 years of experience
- Bachelor’s degree and 8 years of experience
Preferred Qualifications :
- PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields.
- Experience in developing methodologies and knowledge of theoretical foundations of data science methods.
- Knowledge of machine learning and AI methods, proficiency with data analytics algorithms.
- Experience in the usage of machine learning / AI tools in life sciences.
- Excellent interpersonal, technical, and communication skills.
- Demonstrated ability to write modeling results and conclusions for reports.
- Record of scientific contributions through peer-reviewed articles.
What you can expect of us
Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans, work / life balance, and career development opportunities.
Apply now
for a career that defies imagination.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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