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Data Engineer - Computational Biology (Senior Associate)Pfizer • Cambridge, Massachusetts, United States
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Data Engineer - Computational Biology (Senior Associate)

Pfizer
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
Postuler Maintenant

À propos

Position Summary You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for Pfizer R&D research units. You will contribute to the development and operation of bioinformatics pipelines and data products, working closely with senior scientists and engineers to advance a cutting‑edge *omics ecosystem platform for Pfizer R&D. You will leverage your expertise to design innovative approaches that extract valuable insights from Pfizer’s proprietary and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain. Position Responsibilities Contribute to the development, deployment, and operation of production-grade Nextflow pipelines on cloud infrastructure, ensuring scalable and reproducible execution. Support pipeline lifecycle management, including upgrades, troubleshooting, performance tuning, and reliability improvements for reusable workflows. Learn and apply DevOps best practices for pipelines and platform services (CI/CD, automation, and engineering tooling). Work with wet-lab and research scientists, guided by senior team members, to translate data analysis requirements into robust, production-ready pipeline and platform solutions. Develop and evolve an omics data platform that enables efficient, scalable processing and delivery of *omics datasets as reliable data products. Participate in collaborations with external partners and vendors to strengthen pipeline quality, sustainability, and adoption of best practices. Help support the user community by answering questions, documenting workflows, and sharing best practices. Minimum Qualifications MS in Computational Biology, Biology, Physics, Statistics, or a related technical discipline OR BS with 2+ years of relevant research experience developing data products and data integration solutions. Single-cell/NGS, functional genomics, genetics, or proteomics data analysis experience. Hands‑on experience with workflow tools such as Nextflow, or strong interest in developing this expertise. Proficiency in Python and familiarity with software development practices. Experience troubleshooting technical problems and learning new analytical approaches. Excellent communication and collaboration skills, with experience working effectively in cross-functional teams. Preferred Qualifications Background or demonstrated interest in life sciences, pharmaceutical research, drug discovery, or bioinformatics. Exposure to software engineering best practices, including Python package development, cloud computing environments, CI/CD, and engineering tooling. Hands‑on experience handling, processing, integrating, and analyzing large heterogeneous data sets in a drug discovery research environment. Interest in using AI-assisted coding tools to improve development productivity. Work Location and Compensation Hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed. Annual base salary ranges from $82,700.00 to $137,900.00. Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. Relocation assistance may be available based on business needs and/or eligibility. The position requires permanent work authorization in the United States. Benefits 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. Health benefits including medical, prescription drug, dental and vision coverage. Additional benefits and programs to support healthy lives and life moments. 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 nondiscrimination laws and employment eligibility verification requirements. Pfizer is an E‑Verify employer and this position requires permanent work authorization in the United States.
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  • Cambridge, Massachusetts, United States

Compétences linguistiques

  • English
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