Senior Computational Biologist

    • Pfizer
  • Cambridge Kendall Sq, MA
  • Posted 60+ days ago | Updated 8 hours ago


On Site
USD 99,900.00 - 166,500.00 per year
Full Time


Research and development
High performance computing
Clinical trials
Process engineering
Machine Learning (ML)
Data Analysis
Molecular biology
Cloud computing
Big data
Design analysis
Data Visualization
Health care
Employment authorization
Analytical skill

Job Details


Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.


Genomic data is central to understanding disease processes, providing a molecular landscape of metabolic disease and generating therapeutic hypotheses. In the Integrative Biology group within Pfizer's Internal Medicine Research Unit (IMRU), we leverage our computational biology expertise to address key drug discovery questions on biological and disease mechanisms, biological rationale, target safety and patient stratification. We utilize single-cell transcriptomics/multiomics and other omic modalities (including bulk transcriptomics, spatial transcriptomics, single-cell perturbation, epigenetics, proteomics, metabolomics, and genetics) to deliver target insights and portfolio impact. We are seeking a Senior Computational Biologist who will do genomic experiments using our ever-expanding collection of internal and public omics to understand disease processes and inform target discovery and validation for cardiovascular and metabolic disease, working in close partnership with lab-based and computational biologists, human geneticists, machine learning scientists and statisticians. An ideal candidate should be: 1. proficient in the use state-of-the-art tools for genomic data analysis, integration and visualization, 2. have a solid understanding of the principles and assumptions underlying their analytical approaches and, most importantly, 3. be able to extract, understand, clearly articulate and contextualize the biological insights resulting from their analyses.

  • Lead internal and external efforts to understand the pathogenesis of cardiovascular and metabolic disease (obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease and others) at a cellular and tissue level.
  • Provide actionable biological insights and build scientific understanding of specific drug targets and biological pathways within the context of cardiovascular and metabolic diseases through the implementation and application of tools and methods to analyze omic/multi-omic data (including but not limited to scRNAseq, sc-multimomics, spatial transcriptomics, bulk RNAseq, epigenetics, and proteomics)
  • Develop and drive external collaborations that secure access to novel or proprietary data types and innovative computational methodologies to advance our ability to process and analyze novel biological data types and understand disease pathophysiology from large-scale molecular and phenotypic data.
  • Ph.D. in Biological Sciences, Molecular Biology, Biochemistry, Computational Biology, or related field required; 5+ years relevant experience applying quantitative approaches to generate and address biological questions, preferably in a pharmaceutical, biotech or comparable context;
  • 3+ year's experience in research of cardiovascular and metabolic diseases preferred, including but not limited to obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease.
  • Ability to effectively interface with non-computational biologists to communicate/discuss results, hypotheses, and follow-up experiments
  • Proficiency in R and/or Python is required. Experience with single-cell tools/libraries for data analysis and integration, such as Seurat, ScanPy, scvi-tools
  • Familiarity with high performance computing and cloud computing
  • Strong curiosity about human biology and disease pathology, and a passion using big data at the cellular level to improve it
  • Demonstrated experience in design, analysis and interpretation of large-scale molecular datasets, especially RNAseq, single-cell RNAseq, PerturbSeq, and other NGS data-types.
  • Experience using application interfaces (APIs) for data extractions and transfers between applications is also a plus.
  • Experience with developing data visualization tools such as Shiny apps or integration of genomic data in data visualization platforms is a plus.
Relocation support available

Work Location Assignment: On Premise

The annual base salary for this position ranges from $99,900.00 to $166,500.00. 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. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | ( Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

Research and Development