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Senior Computational Biologist, Chemical Biology

Employer
Pfizer
Location
Cambridge, Massachusetts
Salary
Competitive
Closing date
May 25, 2021

View more

Discipline
Life Sciences, Biology, Computational Biology
Position Type
Full Time
Organization Type
All Industry, Pharma
Role Summary

We are looking for a Computational Biologist specializing in the analysis and integration of complex datasets generated from omics and chemical biology experiments. The role will require a deep understanding of biology as well as the relevant data types to allow the development of analysis strategies and pipelines.The role will report into Pfizer's Simulation and Modeling Sciences (SMS) team but collaborate widely with scientists across Pfizer research groups.Excellent communication skills will be necessary to enable work with multi-disciplinary teams. The successful candidate will demonstrate an enthusiasm to work, collaborate, and communicate with both computational and experimental colleagues.

Role Responsibilities
  • Develop, troubleshoot, and utilize statistical and analytical methodologies for the analysis of internal and external datasets.
  • Develop, apply, enhance, and standardize current and new computational pipelines for multi-omics high-throughput datasets including NGS, quantitative proteomics, and chemical biology data.
  • Design, guide, and conduct statistically rigorous data analyses to support research projects and discover biological insights.
  • Have a strong attention to detail, organizational skills, the ability to multitask, and effective interpersonal and communication skills.
  • Document analytical results in regulated systems and technical reports.
  • Develop and apply computational tools for data sharing and visualization.
  • Maintain awareness of emerging methods in computational biology and applications for novel omics technologies.


Qualifications

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 chemical biology and omics datasets.
  • Working knowledge of molecular and cell biology required.
  • Strong quantitative reasoning and statistical analysis skills with ability to apply them to relevant scientific projects and interpret of the results.
  • Computational and programming skills in Python, R, or equivalent scripting languages.
  • Experience with a SLURM based cluster or cloud based computational environment.
  • Strong oral and written communication skills to collaborate with computational and experimental scientists located at 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 an analysis of proteomics data.
  • Demonstrated ability to effectively interface with computational biologists to communicate and discuss results.
  • Exceptional documentation and communication skills.
  • Self-motivated and highly effective in a team-based environment.


Other Job Details:
  • Eligible for Employee Referral Bonus: YES
  • Eligible for Relocation: NO


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Sunshine Act

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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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