Senior Principal/ Principal Scientist, Computational Safety

Résumé du poste

The role involves providing scientific leadership in in silico safety assessment by leveraging AI/ML and multi-omics data to identify safety liabilities. You will collaborate with multidisciplinary teams to develop integrated computational strategies and translate complex insights into actionable recommendations for drug discovery and development.

Détails du poste

DESCRIPTION We are seeking a Senior Principal/ Principal Scientist, Computational Safety, to provide scientific leadership in in silico safety assessment across drug discovery and development. This role will leverage advanced multi omics data, systems toxicology and AI/ML approaches to proactively identify safety liabilities, support mechanistic understanding, improve quality target identification, and facilitate risk based decision making. The Senior Principal Scientist/ Principal will play a key role in developing and delivering integrated computational safety strategies, including AI enabled foundation model based on multiple omics data, Adverse Outcome Pathways, off-target identification, and predictive liability models. Working closely with toxicologists, discovery scientists, clinical safety, bioinformatics, data science, and IT partners, this position will translate complex computational insights into clear, actionable recommendations that improve pipeline quality and reduce late stage attrition. 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 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. DUTIES & RESPONSIBILITIES • Lead and/or generate in silico target safety assessment strategy development • Develop and deliver integrated computational safety packages to support program and portfolio decisions • Advance AI/ML and multi omics–based models, including foundation models, for safety and liability prediction • Drive AI enabled Adverse Outcome Pathway (AoP) development to support mechanistic risk assessment • Proactively identify and communicate on target and off target safety risks • Collaborate closely with Toxicology, Discovery, Clinical Safety, Bioinformatics, Data Science, and IT teams • Serve as a bridge and clearly communicate complex computational insights to multidisciplinary stakeholders. REQUIREMENTS Principal Scientist Requirements: • 6+ years of post-doctoral and/or industry experience in drug discovery and development and ≥1 years of experience in safety risk assessment is a must Senior Principal Scientist Requirements: • 7+ years of post-doctoral and/or industry experience in drug discovery and development and ≥3 years of experience in safety risk assessment is a must Requirements for both levels • Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field • Strong collaboration, scientific leadership, and communication skills, with the ability to translate complex computational results into actionable insights for stakeholders with diverse backgrounds • Expertise in computational toxicology, AI/ML modeling, and multi-omics (TGx) data integration • Experience with in silico safety, liability prediction, and mechanistic modeling • Familiar with toxicology related data curation, and interpretation, and knowledge of GLP toxicology and regulatory guidance will be a favorable plus 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 @computationalinnovation COMPENSATION DATA The base salary range for the Scientist II position is $140,000 to $222,000. The base salary range for the Scienitst III position is $170,0000 to $269,000. The position may be eligible for a role specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits please click here [https://www.boehringer-ingelheim.com/us/careers/explore-our-company/benefits-rewards]. [https://www.boehringer-ingelheim.com/us/careers/benefits-rewards]

Ce que vous ferez

The role involves providing scientific leadership in in silico safety assessment by leveraging AI/ML and multi-omics data to identify safety liabilities. You will collaborate with multidisciplinary teams to develop integrated computational strategies and translate complex insights into actionable recommendations for drug discovery and development.

Exigences

A Ph.D. in Computational Toxicology, Bioinformatics, or a related field is required, along with at least 7 years of post-doctoral or industry experience. Candidates must possess expertise in AI/ML modeling, multi-omics data integration, and safety risk assessment within the pharmaceutical industry.

Avantages

• Competitive compensation • Discretionary bonus • Relocation assistance

Compétences indiquées

• Communication · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Computational toxicology
• AI/ML modeling
• Multi-omics data integration
• Systems toxicology
• Drug discovery
• Safety risk assessment
• Bioinformatics
• Molecular biology
• Adverse outcome pathways
• Foundation models
• Data science
• Scientific leadership
• Mechanistic modeling
• Regulatory guidance
• GLP toxicology
• Communication
• Good Laboratory Practice (GLP)
• Strategy Development
• Data Curation
• Artificial Intelligence
• Aspect-Oriented Programming
• Molecular Biology
• Decision Making
• Computational Biology
• Data Integration
• Drug Discovery
• Forecasting
• Leadership
• Machine Learning
• Market Data
• Risk Analysis
• Toxicology
• Collaboration
• Data Science

Domaines d’emploi

• Science & Research
• Technology
• Data & Analytics
• Healthcare
• Principal Scientist
• Toxicologist
• Medical and Pathology Laboratory Technicians
• Medical Scientists, Except Epidemiologists