Principal Scientist, Computational Biology- Translational Platforms
Organisation Name: Johnson & Johnson Family of Companies
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Job Description:
Janssen Research & Development, L.L.C. is recruiting for a Principal Scientist, Computational Biology to be located in La Jolla, CA. At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address meaningful 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. We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it. We thrive on a diverse company culture, celebrating the uniqueness of our employees and are committed to inclusion. We are proud to be an equal opportunity employer. The Discovery Sciences division of Janssen Research and Development (JRD) is searching for a scientist or senior scientist, Computational Biology in the Translational Platforms department. The role of this individual would be to develop and implement state of the art algorithms using multiple ‘omics datasets to support the development of small and large molecule therapeutics for disease indications, including Oncology, Immunology, Infectious Diseases, Neuroscience, Cardiovascular and Metabolic Diseases. You will work in an exciting, interdisciplinary environment, overlapping the different stages of the discovery pipeline, by interacting with several internal and external groups. You should be highly self-motivated and have experience with the analysis of transcriptomic and -omics data generated by epigenetic profiling. Primary responsibilities include design and analysis for computational studies aimed at target and biomarker identification, developing novel algorithms and analysis methods to elucidate disease mechanisms, and also support existing discovery and clinical programs through computational analysis. The candidate must have the ability to analyze and interpret data in a biological or disease context. Key Responsibilities: We are looking for candidates with a strong track record in the analysis and interpretation of NGS and related biological datasets. Responsibilities will include: Support drug target identification and development using approaches that integrate data from multiple -omics platforms. Analysis of data to support drug discovery and/or biomarker efforts in areas related to neurodegenerative or mood disorders, or cardiovascular disease. Integration of ‘omics data and genomics data from population studies, and their interpretation to derive insights into disease biology. Experience in programming with R and/or Python and in building pipelines for NGS analysis. Ability to collaborate and work with experimental biologists and chemists in a matrix environment. Contribute and participate in internal and external presentations, peer-reviewed manuscripts and conference proceedings. Qualifications Master’s degree with 5+ years of experience and understanding of computational biology and NGS analysis in a pharmaceutical/biotechnology industry setting is required. Ph. D degree in quantitative science, i.e. Biology, Computational Biology/Bioinformatics/Physics/Chemistry/Mathematics/Computer Science with 3+ years of experience or proven equivalent experience is desirable. Experience and Skills: Required Experience with analysis of NGS data from DNA and RNA sequencing studies. Analysis of epigenetic datasets (e.g.: from ChIP-Seq, methylation profiling etc.), in the context of disease biology. Familiarity with single cell sequencing technologies; and interpretation of data from single cell experiments. Familiarity with aspects of neurodegenerative, mood disorders or metabolic disease biology and computational studies in these areas. Strong publication record in computational biology or related fields Excellent communication, and team interaction skills, self-motivation, proactivity and the ability to work independently. Effectively present and communicate technical data to broad audiences. Preferred: Experience in dashboard development using Rshiny, Tableau or SpotFire. Familiarity or experience with machine learning methods and their applications to biomarker/target identification. Other: Up to 10% foreign and domestic travel maybe 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.
