1+ months

Senior Computational Biologist

Pfizer
Cambridge, MA 02139
Apply Now
Apply on the Company Site
**ROLE SUMMARY**

Standard biological experiments now easily generate enormous volumes of data which require specialized and sophisticated approaches in order to extract meaningful biological insights.

The Senior Scientist will be accountable to and will work closely with biologists, computational biologists, and human geneticists across the Research Units located at the Kendall Square Site developing, implementing and applying computational tools and methods to store, process, analyze, visualize and integrate in-house and public bulk, single-cell and spatially-resolved multi-omics data. The Senior Scientist will also be accountable to and will work with biologists, computational biologists, and human geneticists within the Internal Medicine Research Unit developing, implementing and applying computational tools and methods to store, process, analyze, visualize and integrate in-house and public genetics, epigenetics, RNAseq, NGS, metabolomics, proteomics and other 'omics data types to address key drug discovery questions on biological and disease mechanisms, biological rationale, target safety and patient stratification.

Finally, the Senior Scientist will work with other computational and statistics colleagues across the Integrative Biology groups within the Worldwide Research, Development, and Medical organization and colleagues in Research Business Technologies to leverage a broader suite of computational capabilities and analytical tools, and lead the evaluation of cutting-edge tools, to elucidate target and disease mechanisms, develop and test therapeutic hypotheses, identify disease biomarkers and understand patient stratification.

The Senior Scientist position offers an opportunity to execute science-based drug discovery within one of the world's leading developers of human therapeutics, at the Pfizer's Kendall Square research facility in Cambridge Massachusetts.

Lead internal and external efforts to provide actionable biological insights and build scientific understanding of biological pathways within the context of common cardiovascular, metabolic, inflammatory, and autoimmune diseases as well as rare diseases through the development, implementation, and application of tools and methods to analyze bulk, single-cell, and spatially-resolved multi-omics data.

Lead internal and external efforts to provide actionable biological insights and build scientific understanding of specific drug targets and biological pathways within the context of cardiovascular and metabolic diseases, including Type 2 Diabetes, Non-alcoholic Fatty Liver Disease, and Heart Failure through the development, implementation and application of tools and methods to analyze genetic, NGS (including but not limited to RNAseq, DNAseq, etc), and other 'Omics data types.

Lead internal/external collaborations that secure access to novel or proprietary data types and innovative computational methodologies to advance our ability to process and analyze novel biological data types and understand disease pathophysiology from large-scale molecular and phenotypic data.



**BASIC QUALIFICATIONS**



Ph.D. in Biological Sciences, Bioinformatics, Computer Science, Applied Mathematics, or related field required; 5+ years relevant experience applying quantitative approaches to solving biological problems, preferably in a pharmaceutical, biotech or comparable context; 3+ years experience in evaluating data relevant to cardiovascular and metabolic diseases, including but not limited to, Type 2 Diabetes, Non-alcoholic Fatty Liver Disease / Non-alcoholic Steatohepatitis, and Heart Failure.



**PREFERRED QUALIFICATIONS**



Extensive experience in bio-computational programming, scripting, querying or statistical analysis languages such as R, python, perl, SQL, as well as Linux OS for high performance computing. Extensive knowledge and experience using bioinformatics libraries such as Galaxy, Bioconductor, Ingenuity Pathways, SciPy, etc. Experience using application programming interfaces. Experience in cloud computing is preferred.

Demonstrated experience applying computational approaches to multi-dimensional datasets to deliver insights and hypotheses, e.g., multivariate, Bayesian and machine learning approaches.

In depth knowledge of relevant public and proprietary databases, methods and tools.

Demonstrated experience in design, execution and interpretation of in vivo and/or in vitro biological experiments generating large scale molecular datasets, especially scRNASeq, RNAseq, and other NGS data-types.

Pharmaceutically relevant experience or formal training in computational biology, bioinformatics, computer science or medicine.

Demonstrated ability for sound experimental design for in-silico experimentation/workflows required, in addition to ability to effectively interface with biologists to communicate/discuss results, hypotheses, and follow-up experiments.



\#LI-PFE



**Other Job Details:**



+ Eligible for Employee Referral Bonus



**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
Posted: 2020-03-04 Expires: 2020-05-04

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Senior Computational Biologist

Pfizer
Cambridge, MA 02139

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast