Senior/Principal Scientist, Integrative Computational Biology
Boehringer Ingelheim
- Ridgefield, CT
- Permanent
- Full-time
- Build in silico capabilities to identify novel therapeutic targets and molecular mechanisms for enabling immuno-oncology, using multi modal omics data and computational systems biology approaches.
- Lead multiple bioinformatics projects that make innovative use of both public and internal data to help identify new targets, biomarkers, and patient segments, and articulate those findings and observations to internal stakeholders.
- Drive hypothesis generation by applying computational biology approaches that includes machine learning/AI techniques, data integration, and biological knowledge.
- Build and/or implement new computational biology capabilities to translate biological data into insights.
- Help educate and train Boehringer Ingelheim colleagues in computational biology and related areas. Continue to develop scientific expertise, credentials, and drug development expertise by keeping abreast of relevant literature, by expanding scientific/technical knowledge, and by publishing in peer-reviewed journals and speaking at internationally recognized scientific conferences.
- Contribute to the greater good, including departmental administration, scientific culture, and technical evaluation of in-licensing opportunities.
- Ph.D. degree or equivalent from an accredited institution in biological, statistical, computational, or other quantitative science.
- Five (5) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree, with at least two (2) years' experience in drug discovery, strongly preferred.
- Several years of experience in independently leading computational biology-related projects using omics data
- Is a recognized science and/or technology subject matter expert across BI with a sustained publication and external presentation record.
- She/he identifies new methodologies, protocols and/or test procedures that contribute to department and Discovery Research goals and proactively proposes creative solutions to department or Discovery Research leadership.
- Ph.D. degree or equivalent from an accredited institution in biological, statistical, computational, or other quantitative science.
- Two (2) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree strongly preferred
- Is a locally recognized science and/or technology subject matter expert within his/her department who develops and implements experimental approaches that contribute to department/Discovery Research goals by demonstrating expert knowledge to advance the portfolio. The development of a strong publication record within his/her area of expertise is expected.
- Experience in leading computational biology-related projects using omics data
- Demonstrated experience in genomics or related areas (eg proteomics) and the use of integrative computational biology approaches. Experience in more than one omics area, or structural bioinformatics is a plus.
- Demonstrated expertise in Python, R or other languages, together with data visualization frameworks ( eg , ggplot2, matplotlib etc)
- Broad knowledge of a wide set of computational biology tools
- Desire to learn basic statistics and ardent desire to apply them.
- A keen interest in continuous development, such as reading new papers, learning new techniques in machine learning for biological problems.
- A good team player mentality and good ability to explain complex topics to scientists from other subject areas.
- Must be legally authorized to work in the United States without restriction.
- Must be willing to take a drug test and post-offer physical (if required).
- Must be 18 years of age or older.