Sr. Scientist, Computational Biology

San Diego, CA
Jun 05, 2018
Required Education
Position Type
Full time

Other Locations:US- CA- San Diego

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 computational researcher to work on the analysis and interpretation of high-dimensional cellular and molecular profiling data.

The successful applicant is expected to play a key scientific role leveraging innovative computational analysis strategies across a variety of biological and chemical data sources to empower data-driven decisions in development of next generation Celgene protein homeostasis therapies.

Reporting to the Research Analytics lead for Protein Homeostasis research, the successful candidate will work alongside Celgene Research colleagues in the Protein Homeostasis Thematic Center of Excellence (TCoE) and Chemistry and Structural Biology based in San Diego California, and the global Research Informatics and Knowledge Utilization (RIKU) department.

Scientific objectives and research scenarios include:

  • multivariate analysis strategies for compound prioritization using integrated collections of diverse experimental and annotation data,

  • provision of deep insight into therapeutic mechanisms of action for novel pipeline compounds via computational and systems biology research on preclinical profiling experiments, and

  • early identification and predictive leverage of patient phenotypes most likely to benefit from those mechanisms.

Data originate from a wide range of cellular and molecular profiling platforms, including transcriptomic, proteomic, genomic, functional and immunophenotypic assays, and from the efforts of colleagues in structural biology and cheminformatics.

The role offers the opportunity to directly impact the delivery of transformational therapies in key diseases of unmet medical need. Strong interest in the inter-disciplinary application of computational analysis methods to life sciences data is imperative.


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

  • Develop and apply leading-edge computational analysis and biological interpretation approaches to leverage internal, public and partner datasets and empower data-driven decisions across compound development programs.

  • Multi-disciplinary collaboration to investigate compound and disease properties, influence decision making across the early development of novel therapies, and leverage disease stratification efforts to accelerate patient selection hypotheses ahead of clinical application.

  • Integrate data across assay platforms and transfer knowledge from pre-clinical experiments to clinical trials.

  • Author scientific reports, and present methods, results and conclusions to publishable standard.

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

Background experience & complementary knowledge:

  • Ph.D. in computational biology, bioinformatics, or related field with at least 6 years of relevant work experience, required.

  • 6 years of experience in applying quantitative approaches to solve biological problems in university, hospital, pharma or biotech research environments; experience in cancer genomics highly, preferred.

  • Demonstrated ability to infer molecular mechanisms from high-throughput profiling data generated by perturbation of in vitro, in vivo and ex vivo model systems.

  • Proven expertise in the development and/or implementation of algorithms with focus on pattern recognition, mechanistic inference and biological interpretation.

  • Experience of computational biology research on a wide variety of cellular and molecular profiling platforms, including mRNA profiling, mutational profiling, DNA copy number quantification, epigenetic profiling and proteomics.

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

  • Track record of peer-reviewed publications in top-tier scientific journals

  • 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.