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.

Qualifications:

• 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
#LI-PFE
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 | (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.
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EEO & Employment Eligibility
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Research and Development