Senior Scientist, Research Analytics

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.

Translational & Diagnostics Informatics is a team within our Research Analytics group that collaborates directly with colleagues in the Translational Development and Diagnostics (TDD) function on research programs from early to late stage clinical development of novel Celgene therapies.

We seek a talented computational scientist who will work in a highly collaborative environment on the analysis, statistical modeling, and the generation of hypotheses from high-dimensional tissue, cell and molecular data. This position is expected to play a key scientific role, leveraging innovative computational analysis strategies and methods on rich patient data to empower data-driven decisions for development of drug programs and molecular biomarkers in Celgene’s clinical portfolio. Scientific activities associated with this position range from provision of deep insight into therapeutic mechanisms of action for existing and novel therapies in clinical development, identification of patient phenotypes associated with therapeutic effect and outcome in key indications, and development of molecular biomarker hypotheses for implementation into clinical trials as potential diagnostic tests. Data will originate from a wide range of cellular and molecular profiling platforms, including transcriptomic, proteomic, genomic, functional and immunophenotypic assays.

This role offers opportunity to impact and accelerate the delivery of transformational therapies in key diseases of unmet medical need, particularly in lymphoid and myeloid diseases. Strong interest in the inter-disciplinary application of computational analysis methods to life sciences data is imperative. 

Responsibilities

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

• Participate in cross-functional disease teams to identify clinically-relevant patient segments by computational analysis of public and proprietary biomarker and clinical datasets. 
• Apply existing and novel computational analyses to high-dimensional data from multiple assay platforms, integrating knowledge from preclinical experiments and clinical trials, to i) guide the development of molecular patient selection and biomarker hypotheses to support late-stage clinical programs, and ii) support early-stage programs that aim to develop novel therapies.
• Prioritize across projects and take responsibility for delivery of research output to agreed objectives and timelines.  Author scientific reports, with methods, results and conclusions presented in a publishable standard.
• Pursue leading computational research as a member of the global Research Analytics group, and contribute to collaborative efforts as required across the wider Research Informatics & Knowledge Utilization (RIKU) department. 
• Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.

Qualifications / Requirements

• Ph.D. in computational biology, bioinformatics, biostatistics or related field from a recognized higher-education establishment, with 6 years of work experience
• At least 3 years post-doctoral experience in research environment in either industry or academia required.
• Track record of peer-reviewed publications in top-tier scientific journals.
• Experience in quality assessment, analysis, interpretation and visualization of terabyte-scale datasets, including high-throughput sequencing data.
• Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor and contemporary, open-source bioinformatics tools and database structures. Preference given to candidates with a track record of developing portable algorithms that can be shared with peers.
• Proven expertise to distill, analyze, interpret and identify predictable patterns within complex datasets, particularly those associated with pharmacogenomics and biomarker discovery.
• Proven problem-solving skills, collaborative nature and adaptability across disciplines.
• Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite.

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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.