Celgene Sr Scientist, Computational Biology in Cambridge, Massachusetts

Other Locations: US- MA- Cambridge


Celgene is a global biopharmaceutical company leading the way in medical innovation to help patients live longer, better lives. Our purpose as a company is to discover and develop therapies that will change the course of human health. We value our passion for patients, ​quest for innovation, spirit of independence and love of challenge. With a presence in more than 70 countries, and growing - we look for talented people to grow our business, advance our science and contribute to our unique culture.


We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of high-dimensional tissue, cell and molecular profiling data. This individual will play a key scientific role leveraging innovative analysis strategies and a wide range of data sources to empower data-driven decisions alongside colleagues in Celgene’s Research & Early Development organization. The role will align directly with the Celgene mission to improve therapeutic outcomes in complex diseases of unmet medical need.

Applications focus on the identification and evaluation of novel therapeutic targets, with the mission to provide genetic rationale that reinforces target prioritization, indication selection, and precision medicine decisions across the R/ED organization, and particularly for our Immune & Inflammatory Disease Therapeutic Center of Excellence. Areas of particular focus include systems-level analysis of genetic variants for TIDVAL, and use of phenotypic immune signatures for stratification in key indications.

Analysis scenarios include but not restricted to GWAS Meta-analyses, fine-mapping genetic variants, Mendelian randomization, proposing functional genomic validation & subsequent analyses, and modeling pharmacogenetics. Candidate is expected to lead internal and external analyses that integrate molecular profiling data from internal trials, multiple proprietary human cohorts, and curated public resources. Ability to direct external collaborations is highly desired. Demonstration of prior experience and success in highly collaborative environment a prerequisite.

The position would suit an individual with strong scientific leadership potential and excellent communication and collaboration skills. Applications are encouraged from those looking to bridge the gap between academic and industrial research environments to impact delivery of truly innovative and life-changing therapies.

Strong interest in the inter-disciplinary application of computational analysis methods to life sciences data is imperative, as is rich background and experience in bioinformatics and computational biology research.


Working in collaboration with computational, biological and clinical scientists across the Celgene Research and Early Development organization, responsibilities include but are not limited to:

  • Pursuit and supervision of leading computational biology and genetics research towards key Celgene scientific objectives.

  • Active participation as a core team member and subject matter expert in the Research Analytics group.

  • Coordinated application of novel computational analysis and biological interpretation approaches to leverage internal, public and partner datasets and empower data-driven decisions across therapeutic programs.

  • Multi-disciplinary collaboration to investigate compound and disease properties and influence decisions from target prioritization through to translational development.

  • Data integration across assay platforms and knowledge transfer from pre-clinical experiments to clinical trials.

  • Participation in and oversight of scientific report writing. Presentation of methods, results and conclusions to a publishable standard.

  • Contribution to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.

Background experience & complementary knowledge

  • A Ph.D. in genetics, computational biology, bioinformatics, or related field from a recognized higher-education establishment.

  • 7+ years post-doctoral experience of inter-disciplinary computational and drug discovery research in university, hospital or biotechnology environments.

  • 3+ years experience in pharma/biotech research environment preferable.

  • Strong knowledge required of genetic association analysis and interpretation, and applied computational research on large multivariate datasets. Good working knowledge of predictive analytical practice is preferable.

  • Previous experience of research supervision and track record of peer-reviewed publication in relevant scientific journals.

  • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source bioinformatics tools and database structures.

  • Proven problem-solving skills, collaborative nature and adaptability across disciplines.

  • Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite.

Celgene 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. Celgene complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Celgene in the U.S.

Sr Scientist, Computational Biology

Location: Cambridge, MA, US

Job ID: 1700473