Come help us define the future of quantitative biomedical science.
Join our culture of Belonging, Learning, Teaching, and Wellness. We know the key to our company’s success is the happiness and well-being of our team. We are always looking for team members who share our vision of using information in a quantitative way to develop therapies that defeat disease. We are obsessed with learning and we have a passion to participate in the growth of our scientific disciplines. We believe that as we learn and grow, we are responsible to share openly with the community.
The salary listed above is commensurate with experience. Excellent benefits package.
As a Research Scientist Statistician at Metrum Research Group, you will work as part of a larger interdisciplinary team in our Quantitative Science business unit to provide decision support for our clients in the biomedical sciences. The ideal candidate will bring statistical depth and aspire to scientific breadth. Bring your knowledge of Bayesian inference, biostatistics, causal inference, and AI/ML, and let us help you apply it in collaboration with pharmacometricians, systems modelers, and data scientists to address some of the most challenging and consequential questions in biomedical research.
Responsibilities:
- Aid in the development of strategies and the conduct of modeling and simulation to support biomedical decision making
- Develop and apply models to inform decision making, including exposure-response and disease progression models
- Perform quality control of modeling and simulation analyses
- With oversight, prepare technical reports, manuscripts, and presentations
- Present and publish scientific findings
Requirements and Skills:
- Required: Strong proficiency with a scriptable modeling and simulation language, preferably R.
- Desirable: In-depth experience with nonlinear mixed-effects and/or time-to-event modeling.
- Desirable: Experience with Bayesian modeling software (e.g. Stan).
- Desirable: Experience with causal inference conceptual frameworks and methodologies.
- Desirable: Experience with deep learning methodologies, e.g. using TensorFlow / keras.
- Desirable: Experience with Shiny, Markdown, LaTeX, unix/Linux, subversion, git.
Education and Experience:
- Required: M.S. or Ph.D. Degree in Statistics, Biostatistics, or equivalent.
- Desirable: Direct experience with quantitative analytics in biomedical applications
- Desirable: Basic understanding of drug, biologic, device, or diagnostic research and development process
Physical Demands: The job frequently requires working at a computer terminal, standing or sitting, and the ability to operate the computer with proficiency.
Work Environment: The work environment is quiet with no adverse conditions.
Metrum Research Group is an Equal Opportunity Employer