Description
Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting for a Senior Scientist, Computational Biology, Oncology Translational Research- Hematology. This position can be located in Spring House, PA, Boston, MA or remotely on the east coast. Remote work options may be considered on a case-by-case basis and if approved by the company.
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 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, Computational Biology, Translational Research will be responsible for data analysis and Computational Biology support for the Oncology therapeutic area. This individual will work in close collaboration in multi-functional international project teams with scientists in Translational Research, Discovery, Clinical Development, and Discovery Sciences to analyze, integrate, and interpret high dimensional data from a variety of omics profiling platforms including (single cell) DNA/RNA next-generation sequencing, gene expression microarrays, flow/CyTOF, SNP arrays, proteomics, and cytokine panels. They will provide oncology data analysis and computational biology support to identify pharmacodynamic and response predictive biomarkers and for investigation mechanism of action of therapeutic interventions in early and late development. This individual may also build, analyze, and interpret biological networks from disparate data sources. They will also collaborate with other Janssen Research & Development teams as Discovery Sciences, Data Sciences, Quantitative Sciences, and R&D IT to implement informatics systems and approaches that address the Oncology TA needs.
The Senior Scientist will perform real-time bioinformatics and statistical analysis, visualization, and data interpretation for Oncology Disease Area Strongholds (DAS) with an emphasis on Immuno-oncology. This individual will use statistical and machine learning methods to identify prognostic and predictive biomarker signatures from high dimensional biological data. They 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. They may also evaluate and develop novel algorithms and approaches for data analysis.
The individual will contribute to the design of scientific experiments and will communicate analysis results to bench scientists, clinicians, and management in an appropriate biological context. 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. They will consistently demonstrate knowledge seeking and sharing behaviors in the performance of daily work and will be passionate, pro-active, goal oriented, and organized.
Qualifications
+ A Master's Degree in Computational Biology, Biostatistics or related field with a minimum of 5 years of relevant experience working on bioinformatics projects OR a Ph.D. in Bioinformatics, Computational Biology, Biostatistics or related field with 2 years postdoc or industry experience working on bioinformatics projects is preferred.
+ Oncology/Immuno-oncology research experience is preferred.
+ Pharmaceutical development and biological background are preferred.
+ The prior working experience in a computational biology, bioinformatics or related setting, is preferably with an emphasis on high throughput data analysis, including high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and biological network inference.
+ Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed effects modeling is preferred.
+ Strong R programming skills including experience with BioConductor are required, as well as working experience in Unix/Linux environment and cloud based and code versions (git, bitbucket) systems. Scripting language experience (e.g. Perl or Python) and other high level programming (Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred. R Shiny coding skills preferred.
+ Demonstrated record of scientific accomplishments, including publishing work in journals and oral presentations is required.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
ERADICATECANCER
Primary Location
United States-Pennsylvania-Spring House-Welsh & McKean Roads
Other Locations
North America-United States-Massachusetts-Boston, North America
Organization
Janssen Research & Development, LLC (6084)
Job Function
R&D
Requisition ID
W
