Principal/Senior Principal Scientist, Multimodal Computational biology

Description

Boehringer Ingelheim is seeking an innovative computational biologist (Principal or Sr. Principal), to drive discovery of First-in-Class drugs to treat cancer. This position is a unique opportunity to directly contribute to the development of new therapeutics and work with industry leaders in broadening your skillsets in cancer biology, genetics, omics, biobanks, RWE (Real World Evidence), AI (Artificial Intelligence) and related computational biology methods. It is also an opportunity to grow yourself in a team environment of active professional development support, feedforward (vs feedback), continuous improvement, and empowerment.

As a member of the Computational Innovation (CI) organization, the incumbent will work as a member of cross-functional project teams, contributing to or driving the discovery and development of First-in-Class or Breakthrough drugs for Oncology. You will leverage multimodal data relating to gene, protein, and metabolite measurements to drive the development of novel target biology and therapeutic concepts for drug discovery and development. In addition to advancing the discovery of new therapeutics, with immediate focus in 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. He/She will help develop and champion the use of patient or population-level data at scale and relevant emerging approaches including ML/AI to accelerate inventions/concepts to market. Publishing in peer-reviewed journals and speaking at internationally recognized scientific conferences are encouraged with active support.

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 opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the company’s success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, 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 education****

Duties & Responsibilities

•    Leverage innovative in silico approaches to identify novel therapeutic targets or biomarkers and improve our understanding of relevant path mechanisms for enabling immuno-oncology, using multimodal omics data and computational systems biology approaches.
•    Lead multiple bioinformatics projects that make innovative use of large-scale data to help identify new targets, 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 approaches 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.

Requirements

Principal 

•    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 in Oncology or Immunobiology using omics data, and experience interacting routinely with matrixed teams.

 
Senior Principal

•    Seven (7) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree, with at least three (3) years’ experience in drug discovery.
•    A minimum of five years in independently leading computational biology-related projects in Oncology or Immunobiology using omics data, and several years of experience in leading matrixed teams, with demonstrated achievements in impacting pipeline at various stages 

Required for both levels:

•    Ph.D. degree or equivalent from an accredited institution in biological, statistical, computational, or other quantitative science.
•    Deep hands-on experience in one or more areas pertaining to a broad range of drug discovery or development efforts, particularly relating to target discovery and/or validation, indication selection,
•    Experience mining, analyzing and exploring multiple omics modalities, specifically within the domains of genomic, transcriptomic, proteomic, or metabolomic datasets 
•    Demonstrated expertise in Python, R or other languages, together with data visualization frameworks ( eg, ggplot2, matplotlib etc)
•    Desire to learn basic statistics/ML and ardent desire to apply them. 
•    A keen interest in continuous development and broadening impact, such as reading new papers, learning new techniques in machine learning/AI for biological problems.
•    Excellent interpersonal skills with an aptitude to build strong collaborations across matrixed teams. 
•    Excellent communications skills with an ability to clearly articulate complex scientific concepts to both technical and non-technical stakeholders.

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 Data

This position offers a base salary typically between $140,000 and $222,000.  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 click here.