Pfizer Principal Scientist, Computational Biology NGS Analyst in Cambridge, Massachusetts
Work with Next Generation Sequencing (NGS) data to research, configure, optimize and test upstream data processing protocols for emerging NGS experimental techniques. Additionally, the role will enable the integration and interpretation of large scale internal and external biological data sets. The successful candidate will have strong communication skills and solid technical background allowing for facile interaction with computational biologists and experimentalists as tools are implemented.
Research, configure, and optimize scientific algorithms for data analysis of various large-scale molecular data types
Deliver analysis ready data sets with full statistical validation
Integrate and curate internal and external data sets using standard identifiers from curated biomedical repositories
Processing and analysis of complex, large-scale molecular data types unaddressed by current methods
Maintain awareness of emerging methods in computational biology and applications for novel omics technologies
Contribute innovative and novel scientific analyses to cross line platform projects
Interface with Integrative Biology, Tech Center and Platform Line teams to determine needs and work with Business Technology to define solutions.
Post-graduate level training in Bioinformatics, Computational Biology or relevant natural sciences or computer sciences degree required
BS with 8 years, MS with 6 years, or PhD with 3 years relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context.
• Strong background in 'omics pipeline development.
*Demonstrated experience in handling NGS and other omics datasets, and familiar with common tools and algorithms for NGS data analysis
*Experience in analyzing "single-cell" transcriptomic data sets
• Demonstrated experience applying computational and statistical approaches to deliver analysis ready data e.g. multivariate and machine learning approaches.
• Demonstrated ability to effectively interface with computational biologists to communicate and discuss results
• Exceptional communication skills (oral and written)
- Deep understanding of the statistical methods commonly used in omics analysis
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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.
Other Job Details:
Last Date to Apply for Job: March 1, 2019
Eligible for Relocation Package
Eligible for Employee Referral Bonus
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.