Senior Scientist, Computational Biology Job

Job ID: 99423453
Job date: 2015-11-18
End Date:

Company : Janssen Research & Development 

Country :

Role : Research Scientist 


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Job Description:
Description Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for an Senior Scientist, located in Cambridge, MA. 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 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. We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. The Janssen Human Microbiome Institute (JHMI), a member of Johnson & Johnson, aspires to be the global leader in the emergent field of the microbiome, by accelerating the translation of microbiome research into breakthrough solutions that promote health. JHMI seeks a highly motivated Computational Biologist to be responsible conduct analyses of microbiome data leading to new target and diagnostic identification. The successful candidate will be able to lead a team across multiple work streams to analyze a wide range of data from internal sources and external collaborations and partnerships. The candidate will play a key role in designing appropriate data analysis strategy, executing on those analyses, interpreting results, and gaining actionable insight to drive decision-making in the JHMI’s therapeutic project portfolio. As a computational biologist, the candidate will have experience in bringing interdisciplinary teams together and deriving value from internal and external experts in pursuit of JHMI’s translational goals. Responsibilities include but are not limited to the following: Provide research direction and project leadership, develop innovative concepts for further exploration, and implement solutions that extend the state of the art; Design, develop, and operate computational pipelines for analyzing internal, external -omic data, and biomedical data to develop novel therapeutics and biomarkers; Implement bioinformatics tools for use by a broad community of scientists; Collaborate with an interdisciplinary JHMI team and across the Janssen therapeutic areas when appropriate; Maintain expert knowledge of computational tools and datasets in the microbiome field; Keep abreast of scientific literature, emerging approaches and innovations in the microbiome Qualifications PhD in Bioinformatics, Biostatistics, Computational Biology or similar field is required At least 2 years leading interdisciplinary teams (e.g. of computer scientists, computational biologists, molecular biologists, and microbial ecologists) is required Solid understanding of statistics, data mining, and visualization of biological data types is required Experience working with large scale genomic data (e.g. gene expression, SNP, microarrays, etc) is required Capable of developing strong influential relationships with scientific peers and stakeholders Ability to work in interactive team environments while also conducting self-directed research within broader goals set by JHMI Must be organizationally adaptable, innovative and thrive in high complexity environments to deliver high quality work product in the face of multiple demands Broad experience working across multiple projects in the field of microbiology and the microbiome is preferred Demonstrated ability to design and apply bioinformatics techniques to a complex biological question, leading to actionable hypothesis testing / validation is preferred Demonstrated proficiency in programming languages (e.g. C++, Java, Python, Perl) is preferred Demonstrated proficiency in analytical languages (e.g. R, Matlab) is preferred Expertise in methods pertinent for functional interpretation of -omics data, e.g. pathway enrichment, functional module detection, causal reasoning is preferred Experience with relational databases (e.g. SQL) is preferred Experience with microbiome software (e.g. QIIME, Biobakery) is preferred


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