Associate Scientific Director, Computational Biology, Oncology Translational Research at Johnson & Johnson in Spring House, PA
The Associate Scientific Director, Computational Biology in Oncology Translational Research will lead translational data analysis and bioinformaticssupport for Oncology therapeutic products and candidates. This individual will work in close collaboration with Translational Research scientists to drive data integration, analysis, and interpretation of high dimensional data from a variety of platforms including next-generation sequencing, gene expression platforms, flow cytometry, CyTOF, single cell NGS, proteomics, and IHC. He/she will combine oncology experience with data analysis and statistical expertise to characterize disease mechanisms, mode of action for therapeutic interventions, and candidate biomarkers for the Oncology TA. This individual may also build, analyze, and interpret biological networks from disparate data sources. He/she may also collaborate with Data Sciences, Quantitative Sciences, and R&D IT to implement informatics systems and approaches that address the Oncology TA needs. The Associate Scientific Director will perform real-time bioinformatics and statistical analysis, visualization, and data interpretation for Oncology Disease Area Strongholds (DAS) with an emphasis on targeted therapies in solid tumor indications. This individual will use statistical and machine learning methods to identify prognostic and predictive biomarker signatures from high dimensional biological data. He/she will integrate data from external (e.g. NCBI Entrez, NCBI GEO, TCGA/ICGC, dbGaP/EGA, UCSC Genome Browser, Ingenuity) and internal sources, including clinical biomarker data. He/she may also evaluate and develop novel algorithms and approaches for data analysis. The individual will communicate results to bench scientists, clinicians, and management in an appropriate biological context. He/she will participate in Disease Area Stronghold meetings and proactively support related Bioinformatics and Computational Biology projects. The candidate will maintain compliance with all internal requirements for data integrity and reproducible research, actively interface with the internal and external scientific and technical community, and participate in technology evaluations and software/database usage training. Qualifications A Ph.D. in Computational Biology, Biostatistics or related field with a minimum of 5 years of relevant experience working on bioinformatics projects is required. Prior work experience in a computational biology, bioinformatics or related setting is required. An emphasis on clinical oncology biomarker analysis is required. Experience in one or more of the following is required:
high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and/or biological network inference. Proficiency with classification and machine learning methods is preferred. Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed effects modeling is preferred. Strong R programming skills are required. Experience with BioConductor is preferred. Scripting language experience (e.g. Perl or Python) is preferred. Working experience in Unix/Linux environment is required. Other high level programming (Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred. Biological background is preferred.
Salary Range:
$100K -- $150K
Minimum Qualification
Life SciencesEstimated Salary: $20 to $28 per hour based on qualifications.
high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and/or biological network inference. Proficiency with classification and machine learning methods is preferred. Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed effects modeling is preferred. Strong R programming skills are required. Experience with BioConductor is preferred. Scripting language experience (e.g. Perl or Python) is preferred. Working experience in Unix/Linux environment is required. Other high level programming (Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred. Biological background is preferred.
Salary Range:
$100K -- $150K
Minimum Qualification
Life SciencesEstimated Salary: $20 to $28 per hour based on qualifications.
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