location_onCambridge, UK
watch_later Posted: May 14, 2024
Skills Required
Nice To Have skills
Job Description
POSITION SUMMARY
You will represent Biostatistics on cross-functional teams to provide effective statistical consultation with scientists and toxicologists. You will collaborate with scientific colleagues across a diverse set of disciplines in DSRD, on the design, analysis, and interpretation of nonclinical safety studies. You will be part of a team of nonclinical statisticians within Pfizer's Global Biometrics and Data Management organization. There is no management of people in this role.
KEY RESPONSIBILITIES
- Ensure and implement statistically sound approaches for the design, analysis, reporting, and interpretation of exploratory, regulatory, and investigative nonclinical safety studies.
- Provide critical experimental design input for in vivo and in vitro studies.
- Develop automated statistical solutions to increase the efficiency of DSRD study conduct and reporting.
- Partner with other data science / computational groups to identify optimal solutions to scientific problems.
- Develop and deliver statistical training to scientists.
- Promote an effective Statistical network with other Pfizer statisticians.
- Promote statistical excellence and influence for all DSRD projects and products.
MINIMUM QUALIFICATIONS
- M.S. in Statistics or Biostatistics with minimum 2 years’ experience in an applied statistics setting, or Ph.D. in Statistics or a comparable quantitative field.
- Programming in R (2+ years)
PREFERRED QUALIIFICATIONS
- Strong written and verbal communication skills.
- Demonstrated ability to work effectively as a part of an interdisciplinary team.
- Strong knowledge in general linear models, experimental design, probability, categorical data analysis, and Bayesian analysis
- Experience analyzing high-dimensional data; familiarity with machine learning methods
- R Shiny-app programming experience
- Proficiency with other statistical software (e.g., SAS, JMP, and GraphPad Prism)
- Familiarity with version control and collaborative programming (e.g., Git)
- Strong scientific background, with good working knowledge of biology, chemistry, pharmacology, or toxicology.