Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting for a Associate Scientific Director, Translational Research. This position can be located in Spring House, PA or remotely within the US.
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 Associate Scientific Director, Computational Biology in Oncology Translational Research will lead translational data analysis and bioinformatics support for Oncology therapeutic products and candidates. The successful candidate will contribute to defining hematology scientific data strategy and create and manage multiple complex research plans that result in the accomplishment of the business objectives. Under indirect supervision with a high level of autonomy, 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, cytokine panels, flow/CyTOF, single cell NGS, proteomics, and IHC. They 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. 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 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 hematological malignancies. 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 lead the design of scientific experiments and will communicate the strategic approach, and the 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 Ph.D. in Computational Biology, Bioinformatics, Biostatistics or related field with 5+ years of relevant experience working on bioinformatics projects is required.
- Experience in hematology is required, with a preference for experience in multiple myeloma or lymphoid malignancies.
- The prior working experience in a computational biology, bioinformatics or related setting, is preferably with an emphasis on clinical oncology biomarker analysis, including high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and biological network inference.
- Experience is required in working within the clinical development processes (from protocol design up to data analysis and reporting) and familiarity with clinical trial data types.
- Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed effects modeling and proficiency with classification and machine learning methods is preferred.
- Strong R programming skills 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.
- Demonstrated record of scientific accomplishments, including publishing work in journals, participating in patent preparation, oral presentations is required, with a preference for work related to discovery and development of therapeutic agents.
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.
ERADICATE CANCER Primary Location
United States-Pennsylvania-Spring House-Welsh & McKean RoadsOther Locations
North America, North America-United States-Massachusetts-BostonOrganization
Janssen Research & Development, LLC (6084)Job Function