Top 2 Toxicologist Jobs in Ridgefield, Ct

Senior Principal, Scientist, Computational Sa
BI Pharmaceuticals, Inc. —Ridgefield, CT
- Full-time
- 18 years or older
- Pass drug screening
- 3 years

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Senior Principal, Scientist, Computational Sa

BI Pharmaceuticals, Inc. -
Ridgefield, CT

Apply Now

Job Details

Full-time

Qualifications

AI models
Computational research
Data Integration (Data management)
Predictive modeling analysis
In silico prediction
Machine learning projects
Computational modeling
Drug discovery
Doctor of Philosophy
Predictive analytics projects
AI
Bioinformatics data analysis
Pharmaceutical research experience
Risk assessment implementation
Toxicology research projects

Full Job Description

We are seeking a Senior 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 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 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

Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field with minimum 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
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
Strong collaboration, scientific leadership, and communication skills, with the ability to translate complex computational results into actionable insights for stakeholders with diverse backgrounds

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

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