Senior/Principal Scientist, Integrative Computational Biology

Boehringer Ingelheim

  • Ridgefield, CT
  • Permanent
  • Full-time
  • 1 month ago
DescriptionBoehringer Ingelheim is seeking an innovative computational biologist (Senior or Principal level), to drive discovery of First-in-Class drugs to treat cancer. This role is designed to fit data scientists with diverse range of experiences, ranging from recent PhD graduates to those who have many years of experience in an industry environment. Experienced candidates with an interest in honing both their analysis and people management skills are also encouraged to apply. The role provides an opportunity to increase industry exposure in a variety of areas including developing next-generation immuno-oncology therapeutics, and leadership skills.The incumbent will work as a member of cross-functional project teams, contributing to or driving the discovery of First-in-Class or Breakthrough drugs. As a Computational Biology Partner for Cancer Immunology, your contributions will directly impact foundational elements of drug discovery, including target identification, target validation, disease selection/expansion, and translational biomarkers. In addition to advancing the discovery of new therapeutics around the field of cancer immunology, the successful candidate will contribute to the identification and establishment of external collaborations that will deliver on the aforementioned goals. The successful individual will help acquire/develop and champion the use of multimodal data (eg., sequence, structure, omics etc) and diverse approaches including ML/AI to accelerate new therapeutic concepts and disease understanding.The position is a unique opportunity to gain experience in a variety of computational approaches and work with industry leaders in broadening your skillsets in cancer biology, genetics and omics approaches, RWE (Real World Evidence), and computational biology methods including AI. It is also an opportunity to grow yourself in a team environment of feedforward (vs feedback), continuous improvement, and team empowerment.As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.Candidate will be hired at level commensurate with experience and educationDuties & Responsibilities
  • 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.
RequirementsPrincipal:
  • 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.
Senior Scientist:
  • 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.
Both levels:
  • 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.
Eligibility Requirements:
  • 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.
Compensation dataThis position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements. For an overview of our benefits please

Boehringer Ingelheim