Data Engineer – Computational Biology (Senior Associate)

Pfizer
Pfizer logo
Location
United States - Massachusetts - Cambridge
Job Type
Full-time
Posted
July 1, 2026
Views
6
Salary Range
$83k - $138k USD

Job Description

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 our 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 (e.g., CI/CD, automation, and engineering tooling).

  • Work with wet-lab and research scientists, with guidance from 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 disciplineOR

  • 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

  • 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 heterogenous data sets data in a drug discovery research environment.

  • Interest in using AI-assisted coding tools to improve development productivity.

Work Location Assignment:This is a 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.

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 our 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 (e.g., CI/CD, automation, and engineering tooling).

  • Work with wet-lab and research scientists, with guidance from 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 disciplineOR

  • 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

  • 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 heterogenous data sets data in a drug discovery research environment.

  • Interest in using AI-assisted coding tools to improve development productivity.

Work Location Assignment:This is a 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.

The annual base salary for this position ranges from $82,700.00 to $137,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. 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 | (uscandidates.mypfizerbenefits.com). 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.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

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.

Pfizer endeavors to makewww.pfizer.com/careersaccessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please emaildisabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available onPfizer Careers.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Cambridge, Massachusetts, United States. It is a 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.
What are the minimum qualifications and experience required?
You need an MS in Computational Biology, Biology, Physics, Statistics, or a related technical discipline, OR a BS with 2+ years of relevant research experience. Required experience includes single-cell/NGS, functional genomics, genetics, or proteomics data analysis, proficiency in Python, and hands-on experience or strong interest in Nextflow.
What are the key responsibilities of this role?
You will contribute to developing, deploying, and operating production-grade Nextflow pipelines on cloud infrastructure. You will support pipeline lifecycle management, apply DevOps best practices, translate data analysis requirements into pipeline solutions, develop an 'omics data platform, collaborate with external partners, and support the user community.
What is the salary range for this position?
The annual base salary ranges from $82,700.00 to $137,900.00. Additionally, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary.
Does Pfizer offer visa sponsorship or relocation assistance for this role?
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future; candidates must have permanent U.S. work authorization. Relocation assistance may be available based on business needs and/or eligibility.
What benefits and retirement plans are offered?
Benefits include health, prescription drug, dental, and vision coverage, paid vacation, holidays, personal days, and paid caregiver/parental and medical leave. Retirement benefits include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.

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Job Information

Source: workday
AI Relevance: 88/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: United States - Massachusetts - Cambridge
Skills & Tags:
pfizer pharma

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