Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Nice to have: Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
Nice to have: Experience supporting drug discovery or development activities
Nice to have: Familiarity with AI-enabled scientific workflows
Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data; assess dataset differentiation; coordinate NDAs, sample access, and DataLab evaluation; work with Commercial on pricing, licensing structures, and statements of work; build trusted partner relationships and recommend partnerships that address customer needs and gaps in the omics portfolio.
Responsibilities
Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data
Assess dataset differentiation through cohort composition, assay or sequencing methods, raw and processed data availability, quality documentation, and linked clinical or phenotype information
Coordinate NDAs, sample access, and DataLab evaluation; clarify provenance, permitted uses, and consent or licensing restrictions with the appropriate internal reviewers
Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions
Build trusted partner relationships, surface underused molecular data assets, and recommend partnerships that address customer needs and gaps in the omics portfolio
Lead the Oncology Integrative Biology team, providing scientific and strategic leadership for computational biology within Oncology Discovery across all disease area strongholds.
Locations (3)
Beerse, Antwerp, Belgium
Cambridge, Massachusetts, United States
Spring House, Pennsylvania, United States
Compensation
The anticipated base pay range for this position is:
$204,000.00 - $351,900.00
Responsibilities
Define and execute the computational biology strategy for Oncology Discovery
Lead computational approaches for target identification and validation
Integrate human tumor, patient-derived, multi-omics, and functional genomics data
Advance the application of machine learning, AI, network biology, predictive modeling, and multimodal data integration
The Postdoctoral Research Associate collaborates on and leads high-impact research projects at the intersection of metabolic disease, novel food systems, genome regulation, and biomarker discovery in nutrition-sensitive chronic diseases.
Compensation
Proposed Minimum Salary $4,583.34 monthly
Responsibilities
Design and execute animal feeding studies utilizing polyphenol-enriched plant systems
Perform biochemical, molecular, and phytochemical analysis of serum samples
Develop and implement multi-omics and proteomics approaches
Conduct advanced statistical analysis of research experiments
Prepare presentation materials for small and large groups
Requirements
PhD in preclinical mouse models, physiology, biochemistry or epidemiology
Nice to have: pre-clinical model experience with mouse subjects
Partner with data science, AI/ML, informatics, and technology teams
Requirements
Ph.D. or equivalent advanced degree in Computational Biology, Bioinformatics, Systems Biology, Genetics/Genomics, Biostatistics, Data Science, or a related discipline
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