Senior Principal Scientist, Portfolio In silico Evidence Lead, Computational Biology

BoehringerPRD•Brampton, ON

About The Position

The Department of Computational Innovation at Boehringer Ingelheim is seeking a highly motivated and accomplished Senior Principal Scientist to drive in silico evidence generation and advance novel therapeutic candidates (NTCs) through various milestones. This pivotal role will be instrumental in advancing our understanding of disease mechanisms and driving drug discovery efforts for new and underserved autoimmune disease indications. This role will leverage advanced computational approaches, particularly in bioinformatics, to elucidate NTC Mechanisms of Action (MoA) to facilitate late-stage project transitions in relevant patient segments. The successful candidate will be a key contributor to our interdisciplinary team, collaborating closely with the Department of Immunology and Respiratory Disease Research (I&R), as well as in vitro and in vivo biologists. You will play a pivotal role in developing and applying cutting-edge omics-based approaches to accelerate drug discovery and development. 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, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees

Requirements

Ph.D. in Bioinformatics, Computational Biology, Immunology, Molecular Biology, or a related discipline with 7 or more years of relevant post-doctoral and/or industry experience in drug discovery and development, with at least three (3) years of experience in drug discovery.
Demonstrated expertise in understanding complex disease mechanisms, particularly within immunology, dermatology, and/or rheumatology.
Expertise in bioinformatics, including the analysis of large-scale biological datasets (e.g., single-cell RNA-seq, spatial transcriptomics, genomics, proteomics).
Proficiency in machine learning and artificial intelligence techniques for biological data analysis.
Strong understanding of immunology and disease mechanisms, particularly in the context of dermatology and rheumatology.
Experience collaborating with experimental biologists (in vitro and in vivo) to design experiments and interpret results.
Demonstrated ability to translate complex computational findings into clear and actionable insights for drug development teams.
Excellent communication, interpersonal, and presentation skills.
Proven ability to work independently and as part of a highly collaborative, multidisciplinary team.
Provides expert-level scientific and bioinformatics expertise within the area(s) of biology and human disease addressed by the TA.
Knowledge of current key datasets, therapeutic landscape and demographic/epidemiological considerations within TA is required.
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

Nice To Haves

Experience with clinical biomarker discovery or data-driven safety & toxicity assessment.
Familiarity with regulatory requirements and guidelines in drug development.
Prior experience in dermatology and rheumatology research.

Responsibilities

Drive the generation of robust in silico evidence packages to support the progression of NTCs through critical development milestones.
Lead and execute bioinformatics projects to deliver innovative NTC MoA insights, with a particular emphasis on dermatological applications.
Leverage single and spatial omics technologies, machine learning/AI techniques, biological knowledge, and deep disease understanding to build compelling in silico evidence packages.
Contribute to clinical biomarker discovery efforts and/or data-driven safety and toxicity assessments.
Work closely with colleagues in I&R, as well as in vitro and in vivo biologists, to integrate computational findings with experimental data.
Develop and implement novel omics-based computational approaches to address key challenges in drug development.
Apply computational expertise to various stages of the drug development pipeline, from target identification to late-stage clinical development.