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Senior Scientist - Computational Biologist, Proteomics

Cambridge, Massachusetts
Closing date
Jun 15, 2024

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Full Time
Organization Type
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Job Summary:The Senior Scientist Computational Biologist will be a key member of the Machine Learning and Computational Sciences Team, focusing on the analysis and interpretation of complex datasets generated from omics experiments to drive drug discovery and development. The role will require applying a deep understanding of biology together with advanced computational methods to solve complex biological problems and contribute to the understanding of disease mechanisms at the molecular level. The successful candidate will demonstrate an enthusiasm to work, collaborate, and communicate with both computational and experimental colleagues.

Key Responsibilities:
  • Develop and apply computational tools and algorithms for the analysis of large-scale proteomics datasets.
  • Collaborate with cross-functional teams to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects.
  • Contribute to the development of machine learning models for predicting protein function and interactions.
  • Stay abreast of the latest developments in proteomics and computational biology. Integrate new technologies and methodologies into research practices.
  • Communicate findings effectively to both technical and non-technical audiences through presentations and scientific publications.

  • Ph.D. in computational biology, bioinformatics, statistics, computer science, or a related technical field.
  • Strong background in omics type data analysis and interpretation, such as proteomics, metabolomics, genomics, transcriptomics, etc.
  • Proficiency in programming languages such as Python or R and experience with bioinformatics tools and databases.
  • Deep understanding of biological systems, including post-translational modification, molecular and cell biology, pathway regulation, etc.
  • Familiarity with machine learning techniques and their application to biological data.
  • Experience with mass spectrometry-based proteomics/metabolomics, chemical biology, Olink proteomics, and next-generation sequencing is preferred.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills and a track record of scientific publications in peer-reviewed journals.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Relocation support available

Work Location Assignment:On Premise/Hybrid


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

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