Location: Spring House, Pennsylvania Function: R&D
Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting a Senior Scientist, Computational Genomics in our Population Analytics group, to be located at our Spring House, Pennsylvania campus in the United States.
At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science.
Janssen Pharma R&D seeks an innovative scientist with expertise in creatively applying quantitative analysis to large-scale population-based studies as well as real-world data to advance our pharmaceutical and/or biomedical research, drug discovery and development agenda. We seek an individual with strong training and experience in applied quantitative methods and a track record of scholarship. Candidates should possess excellent communication skills as well as broad biological interests that will enable them to effectively interact with laboratory-based scientists of our Therapeutic Areas.
He/she will be a member of the Population Analytics team, which resides in Computational Sciences within the Discovery Sciences organization. The Population Analytics team aims to bring together researchers within and outside of Janssen with expertise in human disease genetics, statistical genetics and genetic epidemiology, computer/computational science, and high-performance computing. Its mission is to support longitudinal, population-based studies to increase our understanding of pathologies and contribute to Janssen's goals of preventing, intercepting, and treating human diseases. This team is responsible for the integration, analysis and interpretation of data collected on various cohorts and across geographical/time scales. They work on deciphering causal factors such as genes, the environment and an individual's lifestyle with the aim to facilitate the discovery of novel targets, biomarkers, biological mechanisms and pathways implicated in diseases. The team's goal is to use biomedical data to build a best-in-class target identification and validation engine (TIDVALE) to feed our discovery pipeline.
Role & responsibilities:
Develop statistic methods, and bioinformatic software to efficiently process, integrate, and analyze a variety of genetic and electronic health records, biosensor/imaging, and multi-omics data from large-scale cohorts and publicly available datasets. Contribute to the development of analytical pipelines to build our TIDVALE.
Lead or contribute to the development and deployment of tools necessary to translate genotype/phenotype data from large population-based cohorts and targeted studies to help our researchers identify or validate potential therapeutic targets, pathways, and biomarkers implicated in disease.
Provide scientific expertise in bioinformatics and computational methods, in collaboration with scientists within and outside the Population Analytics team. Mentor, train, and support other scientists in the group as needed.
Perform and publish high-quality research that is relevant to the mission of the organization; effectively communicate data and results to our stakeholders within and outside of J&J and work productively with colleagues across J&J sectors.
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.
A M.D. and/or Ph.D. in statistical genetics, computer/computational sciences, bioinformatics, molecular biology, natural sciences, engineering, data science, statistical genetics, mathematics/statistics, or a related discipline is required.
Demonstrated ability to conduct post-association analyses using GWAS summary statistics (fine-mapping, meta-analysis, eQTL and pQTL, colocalization analysis, LD score regression, causal inference). Demonstrated ability in R/Python/Perl package development and R-markdown, Shiny or Jupyter Notebook skill. Lead project to develop tools, protocols and methodologies for disease causal gene and drug target identification. Experience on EMR data analysis, network or pathway analysis is preferred. Deep understanding of probabilistic modeling, statistics, and association study such as GWAS, eQTL, pQTL and enthusiasm to implement and integrate latest tools/data to support team to identify novel biomedical knowledge.
A minimum of 5 years post-graduate experience in data analytics in the physical, computing or biomedical sciences is preferred.
Experience with analysis and processing of genomics data and/or high-performance computing is preferred.
Strong computational/bioinformatics skills and demonstrated ability to work with other scientists to deliver on objectives in defined timelines are required.
Independence, self-motivation, innovation and ability to excel in a goal-oriented, multifaceted and fast-moving team environment are required.
Excellent communication and organizational skills are required; having previously collaborated with cross-functional scientific teams is preferred.
Experience with drug discovery and development practices and project support in a large pharmaceutical setting is a plus.
The role will require up to 10% domestic/international travel. The role will be based in our Spring House Pennsylvania campus in the United States.
Primary Location United States-Pennsylvania-Spring House-Welsh & McKean Roads Organization Janssen Research & Development, LLC (6084) Job Function R&D Requisition ID 2105913496W
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