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Senior Principal/ Principal Scientist, Computational Safety

Boehringer Ingelheim

Ridgefield, CT · HybridFull-time$170–269K/yrSeen 2w agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$170–269K/yr
Location
Ridgefield, CTHybrid
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The Senior Principal/Principal Scientist, Computational Safety will lead in silico safety assessment across drug discovery, leveraging advanced multi‑omics, systems toxicology, and AI/ML to identify safety liabilities, support mechanistic understanding, improve target identification, and enable risk‑based decisions.

Skills & qualifications

RequiredNice to have

Skills

Computational ToxicologyAI/ML ModelingMulti‑Omics Data IntegrationIn Silico Safety AssessmentLiability PredictionMechanistic ModelingToxicology Data CurationGLP Toxicology KnowledgeAdverse Outcome PathwaysCollaborationScientific LeadershipCommunication

Qualifications

Ph.D. In Computational Toxicology or Related Field6+ Years Post‑Doctoral and/or Industry Experience7+ Years Post‑Doctoral and/or Industry Experience1+ Years Experience in Safety Risk Assessment3+ Years Experience in Safety Risk AssessmentMust Be Legally Authorized to Work in the United States Without RestrictionMust Be Willing to Take a Drug Test and Post‑Offer PhysicalMust Be 18 Years of Age or Older

Full job description

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 Principal position is $140,000 to $222,000.

The base salary range for the Sr. Principal 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) .

JOB ID

36700

Job function

Research

Career level

Experienced professionals

Organization

BI Pharmaceuticals, Inc.

Working time

Full-Time

Job flexibility

Hybrid

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law

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