Post-Doctoral Research Fellow -Monoclonal Antibodies
$80,172–$95,014 year
On-siteSeattle, Washington, United States
Job Summary
Develop novel multi-compartmental pharmacokinetics modeling approaches and optimal sampling designs for vaccine and monoclonal antibody clinical trials. Conduct data analyses and simulation studies using modern statistical, machine learning, and classification methods to advance infectious disease research. Participate in framing and designing pharmacokinetic and statistical analysis plans, then disseminate findings in peer-reviewed journals and conferences. This role requires a PhD in Pharmaceutical sciences, Statistics, or related fields with expertise in longitudinal data and pharmacokinetic software such as NONMEM or Monolix. The position offers a base salary of $80,172 to $95,014 and is located at Fred Hutchinson Cancer Center in Seattle.
Required Qualifications
- PhD degree in Pharmaceutical sciences, Statistics, Biostatistics, Bioinformatics, Mathematics, Computer Science or related field
- Experience with analysis of longitudinal data sets
- Highest scientific rigor and integrity
- Strong oral and written communication and critical thinking skills
- Ability to work independently and within multidisciplinary teams
- Demonstrated ability to work successfully as part of a diverse team with a commitment to equity and inclusion
- previous training and research experience in longitudinal data or kinetics modeling of biological processes
- relevant educational background and knowledge to assume an effective, collaborative role within an interdisciplinary team in biostatistics, mathematics, immunology, virology, and infectious diseases
- Good written and oral communication and organizational skills
- Must be able to lift 50 lbs
Desired Qualifications
- Proficiency in R or Python
- Experience with survival data analysis
- Knowledge of a variety of data formats and markup languages (e.g. RMarkdown)
- Experience with modeling software packages, such as Monolix, Phoenix Modeling & Simulation, NONMEM, SAAM II, SimCyp, GastroPlus MATLAB, and R
- Experience with visualization software: Shiny, Javascript, D3
- Experience with code version control (Git, Github) and containers (Docker)
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