Senior Data Scientist

Celgene

(Cambridge, Massachusetts)
Full Time Travel Required
Job Posting Details
About Celgene
Celgene Corporation is a global integrated biopharmaceutical company primarily engaged in the discovery, development and commercialization of innovative therapies designed to treat cancer and immune-inflammatory related diseases in patients with limited treatment options.
Summary
Celgene seeks a talented, results and achievement oriented individual to contribute to our bioinformatics and data management initiatives in Research and Early Development (R&ED). This hands-on role interfaces with programs spanning both discovery and translational sciences where processing and interpreting multi-platform and multi-dimensional ‘omic’ data in pre-clinical and clinical settings is being employed to identify molecular drug targets, characterize MOA, prioritize clinical indications and generate patient selection hypotheses. We are seeking an individual with extensive experience managing, processing, integrating and mining a wide range of data types in support of R&ED clinical trials and drug development experiments while working in close collaboration with basic research, translational and computational scientists.
Responsibilities
* Work closely with a research and computational scientists to identify and answer important R&ED scientific questions * Provide direct support to R&ED scientists to provide direction regarding data structure in support of project objectives * Responsible for ensuring the accurate, complete and timely collection, delivery and tracking of analytical information from translational R&ED, CRO or collaborating laboratories for analysis, reporting and presentation * Support the definition, delivery and utilization of R&ED, collaborator and partner laboratory analytical data management systems, processes and procedures * Work with R&ED study teams to develop R&ED information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity * Participate in comprehensive data review activities in coordination with project and study teams * Work with computational biologists, computational scientists, biostatisticians and study scientists to resolve any data issues found during analysis * Make data, including interim data, a vailable to R&ED department personnel as required * Must have proven ability to work effectively as a multi-disciplinary team member and lead partnering with laboratory and clinical scientists, data management and IT support functions to add value to drug discovery and early development programs * Position may be located in either Summit, NJ or Cambridge, MA.
Ideal Candidate
* Bachelor’s degree in life sciences, computer sciences or a related discipline with at least 8 years or Master's degree in life sciences, computer sciences or related discipline with at least 6 years experience in biomedical data management, assay development, specimen data management or related discipline * Demonstrated proficiency with molecular biology concepts; and ability to support, develop and deploy laboratory and other research data management processes and procedures as they apply to complex, high dimensional data sets * Demonstrated ability to programmatically integrate, verify and report data according to specifications * Proven ability to work in a team environment with clinical personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers * Knowledge of FDA/ICH guidelines and industry standard practices regarding data management are helpful but not required * Detailed knowledge and experience in case report form design, central laboratories, programming databases, query resolution, data validation * Computer skills: detailed knowledge of at least one data management system (Oracle Clinical or Clintrial preferred), experience with SAS data sets and conversion procedures required; knowledge of MS Office program suite required * Knowledge of distributed database design and implementation, LAMP/ MySQL, etc. with capability to perform/direct/assess implementation of such databases * Strong understanding of LIMS systems and systematic, relational approaches to data integration and data processing workflows * Excellent skills in SAS and R programming and experience in additional computer languages such as Perl, Python, PHP, S-PLUS or Java (or C/C++) * Working knowledge of both Windows and Linux operating systems is required * Along with programming proficiency must have creativity, and show a strong capacity for independent thinking and the ability to grasp underlying biological questions * Must thrive in a complex, dynamic environment while adapting to dynamically changing priorities * Must have excellent written and verbal communication and presentation skills * Must have excellent time management and organizational skills
Compensation and Working Conditions

Working Conditions

Travel: Yes, 10 % of the Time

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