Senior Computational Biologist

Cambridge, Massachusetts
January 22 2021
Position Type
Full Time
Organization Type
Role Summary

We are looking for a Computational Biologist specializing in the analysis of Next Generation Sequencing (NGS) data to help build and refine data processing pipelines to support work on gene therapies and other oligonucleotide-based modalities. The role will collaborate with scientists at multiple Pfizer research sites and report into Pfizer's Simulation and Modeling Sciences (SMS) team. The qualified candidate will be responsible for applying NGS analytical methods in the assessment of product quality, detection of impurities, and/or structural characterization. The role will require excellent communication skills to enable work with a multi-disciplinary team performing analysis in support of clinical biotherapeutic, vaccine, and gene therapy projects. The successful candidate will demonstrate an enthusiasm to work, collaborate, and communicate with both computational and experimental scientists.

Role Responsibilities
  • Develop, apply, enhance, and maintain current and new computational pipelines for multi-omics high-throughput datasets including DNA, RNA, and single-cell sequencing data.
  • Develop, troubleshoot, and utilize bioinformatics to support process and formulation development of gene medicines, which includes the analysis of viral vectors and plasmids, as well as monitoring of residual impurities.
  • Design, guide, and conduct statistically rigorous data analyses to support research projects and discover biological insights.
  • Develop and apply computational tools for data sharing and visualization.
  • Document analytical results in regulated systems and technical reports.
  • Maintain awareness of emerging methods in computational biology and applications for novel omics technologies.


Basic Qualifications
  • Ph.D. in computational biology, biostatistics, computer science, or a related technical field with 0-5 years of industrial experience in the analysis of NGS and other omics datasets.
  • Strong quantitative reasoning and statistical analysis skills with ability to apply them to relevant scientific projects and interpret results.
  • Strong computational and programming skills in Python, R, or equivalent applications.
  • Experience with a cloud-based computational environment such as a SLURM based cluster.
  • Have a strong attention to detail, organizational skills, the ability to multitask, and effective interpersonal and communication skills.
  • Strong oral and written communication skills to collaborate with computational and experimental scientists located at the multiple sites.
  • Well-cited journal publications and presentations.

Preferred Qualifications
  • Strong background in 'omics pipeline development using Workflow Description Language (WDL) or other workflow development languages.
  • Demonstrated experience applying computational and statistical approaches to deliver analysis ready data (e.g. multivariate and machine learning approaches).
  • Deep understanding of the statistical methods commonly used in omics analyses.
  • Experience in analysis of gene therapies, viral vectors (e.g., adeno-associated virus), plasmids, large molecules, and vaccines.
  • Demonstrated ability to effectively interface with computational biologists to communicate and discuss results.
  • Exceptional documentation skills.
  • Self-motivated and highly effective in a team-based environment.

Other Job Details:
  • Last Date to Apply for Job: February 15, 2021
  • Eligible for Employee Referral Bonus: YES


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.

Research and Development

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