Celgene Senior Scientist, CAR T Computational Biology / Predictive Sciences in Seattle, Washington

Description

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 biologist to work on the analysis and interpretation of high-dimensional cell and molecular profiling data in the context of cellular immunotherapy. The Senior Scientist is expected to play a key scientific role leveraging innovative computational analysis strategies across a variety of biological and manufacturing data sources to empower data-driven decisions in development of next generation cellular therapies. This position will work alongside Global Product Development Organization (GPDO) colleagues in Seattle and New Jersey, Research and Early Development (R&ED) colleagues in the Immuno-Oncology and Cellular Therapy Thematic Center of Excellence (IO/CT TCoE), and global IPS colleagues engaged in computational research into therapeutic mechanisms of action, efficacy in patient populations, and reduction of potential toxicities.

Scientific objectives and research scenarios will include (1) developing, implementing, and optimizing novel techniques for characterizing CAR T-cells, including single cell transcriptomics, epigenetic profiling, immune repertoire sequencing, and high content cell imaging; and (2) multivariate analysis strategies for identifying robust relationships between aspects of the cell therapy manufacturing process, properties of the resulting therapeutic product, and clinical end points. Data originates 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 GPDO and clinical operations. Algorithmic approaches involved will include supervised classification and regression, unsupervised learning and outlier detection, alongside data integration and biological interpretation methods.

Keen interest and hands-on expertise in the inter-disciplinary application of advanced analytical methods to life sciences and clinical datasets are imperative. Applications are encouraged from those looking to impact delivery of truly innovative and life-changing therapies for complex diseases of unmet medical need.

Responsibilities

Working in collaboration with computational, biological and clinical scientists across the Celgene IPS, IO/CT and GPDO organizations, responsibilities include but are not limited to:

  • Develop novel integrative analysis strategies for high content, high-throughput cell imaging and molecular profiling data sets including RNA-seq, ATAC-seq, immune sequencing, high dimensional flow cytometry, and single cell sequencing to define critical therapeutic attributes

  • Develop and apply state-of-the-art algorithmic and data-driven approaches to identify patient and product phenotypes associated with positive clinical and manufacturing outcomes

  • Engage directly with colleagues and as part of project teams focused on optimizing our manufacture of innovative cell therapies, lending analytics expertise to biological and technical subject matter experts as required.

  • Contribute to broader data analysis and predictive methods strategies across IPS as required, including assessment of third-party capabilities.

  • Present strategies, approaches, results and conclusions to a publishable standard.

  • Contribute to strategic collaborations with academic and commercial collaborators to benefit therapeutic programs.

  • Participate in authorship of scientific reports, and present methods, results and conclusions presented to publishable standards.

Background experience & complementary knowledge

  • Ph.D. in computational biology, bioinformatics, genetics, statistics or related field; alternatively, a PhD in immunology, cancer biology, or molecular biology with a very strong publication record demonstrating bioinformatics expertise and the ability to perform high throughput data analyses

  • Demonstrated ability to extract insight from high-dimensional profiling data, including visualization, multivariate statistics, and/or machine learning, using readable, reproducible, and efficient code

  • Demonstrated ability to analyze and infer molecular mechanisms from bulk and single cell sequencing data (e.g. RNA-seq, ATAC-seq, immune sequencing)

  • Experience in the extraction and prediction of features from high resolution imaging data using deep learning preferred

  • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. Unix Bash, R/Bioconductor, and Python, contemporary, open-source bioinformatics tools and database structures, and collaborative development skills using version control systems (e.g. Git)

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

  • Ability to work independently and also as a member of a multidisciplinary and global analytical research team in a fast-paced environment.

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

#LI-POST

COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE

At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions.

“At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients.”

There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.

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.COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE