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Scientific Director, Computational Biology, Oncology Translational Research

Employer
Society for Conservation Biology
Location
PA, Pennsylvania, US
Salary
Competitive
Closing date
Sep 27, 2022

View more

Sector
Academic / Research, Nonprofit
Field
Informatics / GIS
Discipline
Statistics, Biology
Salary Type
Salary
Employment Type
Full time
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Scientific Director, Computational Biology, Oncology Translational Research
Scientific Director, Computational Biology, Oncology Translational Research
Employer Hispanic Alliance for Career Enhancement Location PA, Pennsylvania, US Salary Competitive Closing date Sep 1, 2022

Hispanic Alliance for Career Enhancement

  • Scientific Director, Computational Biology, Oncology Translational Research
Scientific Director, Computational Biology, Oncology Translational Research
Johnson & Johnson

Description
Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting for a Scientific Director, Translational Research. This position can be located in Spring House, PA or remotely in 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 Scientific Director, Computational Biology in Oncology Translational Research will lead translational data analysis and bioinformatics support for Oncology therapeutic products and candidates. This individual serves as an expert in Computational Biology, skilled at both translating biological questions into tractable in silico analyses and interpretation of results for presentation to a diverse audience of clinicians, bench scientists and senior leadership. This individual will work in conjunction with Translational Research leads to develop biomarker strategies and novel approaches to address DAS-focused disease biology questions through independent in silico research, external collaborations, and clinical study analyses. Computational work will include 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 disease area experience with data analysis and statistical expertise to characterize disease mechanisms, mode of action for therapeutic interventions, and candidate biomarkers for the Oncology TA. These efforts also include development of research proposals and statements of work to engage with external collaborators and CROs. Effective coordination and communication within Oncology, central Janssen R&D teams and external partners will be required. Critical evaluation of emerging techniques for biomarker discovery and target validation is a critical component of this role. He/she will also collaborate with Data Sciences, Quantitative Sciences, and R&D IT to implement informatics systems and approaches that address the Oncology TA needs.

The Scientific Director will perform real-time bioinformatics and statistical analysis, visualization, and data interpretation for Oncology Disease Area Strongholds (DAS) with an emphasis on 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 6 years of relevant experience working on bioinformatics projects is required.
  • Prior work experience in a computational biology, bioinformatics or related setting is required.
  • A strong background in genomics, oncology and experience with platforms and data sets used to evaluate the tumor genome is required, as well as experience in developing and evaluating novel analysis methods.
  • Working knowledge of drug discovery and development including experience in a matrix team environment is required.
  • Excellent communication, interpersonal and written skills are preferred.
  • 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.
  • Strong R programming skills and working experience in Unix/Linux environment 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.
  • Scripting language experience (e.g. Perl or Python) is preferred.
  • Experience in evaluating and managing external partners is preferred.
  • Experience with reproducible research concepts is preferred.
  • Other high level programming (Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred.

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 Roads
Other Locations
North America
Organization
Janssen Research & Development, LLC (6084)
Job Function
R&D
Requisition ID
2206051920W

Job Information
  • Job ID: 65257681
  • Position Title:Scientific Director, Computational Biology, Oncology Translational Research

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