Johnson & Johnson Careers
Senior Scientist, Computational Biology, Oncology Translational Research
Spring House, Pennsylvania; Beerse, Belgium
Requisition ID: 6511190606
Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting for a Senior Scientist, Computational Biology-Oncology Translational Research. This position can be located in Spring House, PA.
Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.JanssenRnD.com for more information.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
The Senior Scientist, Translational Research will provide data analysis and Computational Biology support for the Oncology therapeutic area. In this role, you will work in close collaboration with scientists in Translational Research, Discovery, Early and Late Clinical, Discovery Sciences, Data Sciences, and Quantitative Sciences to analyze, integrate, and interpret high dimensional data from a variety of platforms including next-generation sequencing (DNA/RNA/TCR/single cell/ctDNA), gene expression microarrays, CyTOF, SNP arrays, RBM, and flow cytometry panels. With a focus on immuno-oncology, you will provide oncology data analysis and computational biology support to identify disease mechanisms, mechanism of action for therapeutic interventions, and candidate biomarkers for the Oncology TA. You will build, analyze, and interpret biological networks and derive insights from analysis of disparate multidimensional data sources. You may also collaborate with Data Sciences and R&D IT to implement informatics systems that address the Oncology TA needs.
In this role, you will perform real-time bioinformatics and statistical analysis, visualization, and data interpretation for Oncology Disease Area Strongholds (DAS) with a focus on immuno-oncology programs. You 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/GTEx, dbGaP/EGA, COSMIC, UCSC Genome Browser, Ingenuity) and internal sources, including clinical biomarker data. You may also evaluate and develop novel algorithms and approaches for data analysis.
You will communicate results to bench scientists, clinicians, and management in an appropriate biological context. Additionally, you will participate in Disease Area Stronghold meetings and proactively support related Bioinformatics and Computational Biology projects. You 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.
- A Master’s Degree in Computational Biology, Biostatistics or related field with a minimum of 6 years of relevant experience working on bioinformatics projects OR a Ph.D. in Bioinformatics, Computational Biology, Biostatistics or related field with postdoc and 3 years industry experience working on bioinformatics projects is required.
- Prior work experience in a computational biology, bioinformatics or related setting is required.
- Experience in one or more of the following is required: high dimensional data integration and analysis, gene expression analysis, next generation sequencing analysis and pipeline/tool development, survival analysis, and/or biological network inference.
- Working experience in Unix/Linux environment is required.
- Cloud-based analysis experience preferred. Scripting language experience (e.g. bash, Perl or Python) is required.
- Strong R programming skills are required.
- 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.
- Experience with BioConductor is preferred.
- Experience handling clinical data is preferred.
- Other high level programming (Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred.
- Oncology experience is preferred.
- Biological background is preferred.
Johnson and Johnson Family of Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
United States-Pennsylvania-Spring House-
Janssen Research & Development, LLC. (6084)