Senior Scientist, Integrative Computational Biology

Boehringer Ingelheim GmbH; Ridgefield (CT); On-site; USD 141,000 - 211,000; Full time

Job summary

Boehringer Ingelheim is seeking a Senior Scientist to join the CI Inflammation team within the Department of Computational Innovation.

The role partners with CI Leads and cross-functional project teams to advance the Immunology & Respiratory portfolio from Pre-LO through Candidate Selection, generating computational evidence to inform disease biology, target rationale, novel therapeutic concepts, and patient stratification strategies.

Qualifications

• PhD required with posts’ relevant drug discovery experience preferred.
• Expertise in analyzing large-scale biological datasets (single-cell RNA-seq, spatial transcriptomics, proteomics).
• Ability to translate complex findings into decision-relevant insights for drug discovery teams.

Responsibilities

• Partner with CI Leads to develop integrated evidence packages for project milestones.
• Generate and document in silico evidence addressing disease biology, target rationale, and translational relevance.
• Apply multi-omics and AI/ML approaches to analyze datasets and inform portfolio decisions.
• Communicate assumptions, results, uncertainties, and recommendations to cross-functional teams.

Skills

Multi-omics analysis

AI/ML in biology

Data integration

Scientific communication

Independent work

Education

Ph.D. in Bioinformatics or Computational Biology

Tools

Python/R

Computational environments

Reproducible data analysis

Job description

Senior Scientist, Integrative Computational Biology

Description

The Department of Computational Innovation (CI) at Boehringer Ingelheim is seeking a highly motivated Senior Scientist to join the CI Inflammation team. In this role, the successful candidate will partner with CI Leads and cross-functional project teams to advance the Boerhinger’s Immunology & Respiratory (I&R) drug portfolio from Pre-LO through Candidate Selection. The position will generate timely, decision-enabling computational evidence to strengthen understanding of disease biology, target rationale, novel therapeutic concepts (NTCs), mechanisms of action, and patient stratification strategies.

The successful candidate will work as a key contributor within interdisciplinary project teams, partnering closely with CI Leads to execute bioinformatics analyses, interpret results, and assemble fit-for-purpose evidence packages for I&R project milestones. The role will apply advanced omics, computational biology, and data-science approaches while supporting scientific integration and decision-making.

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.

@computationalinnovation

Duties & Responsibilities

• Scientific Evidence and Portfolio Advancement: Partner with CI Leads to develop integrated evidence packages, presentations, and scientific narratives that inform project reviews and portfolio decisions from PreLO through Candidate Selection.
• In Silico Evidence Generation: Generate, integrate, and document robust in silico evidence addressing disease biology, target rationale, NTC MoA, translational relevance, patient segmentation, biomarkers, and differentiation from competing approaches.
• Computational Analysis: Apply advanced computational methods, including multi-omics and AI/ML approaches, to analyze internal and external datasets, generate actionable scientific evidence, and inform discovery and portfolio decisions.
• Scientific Collaboration: Communicate assumptions, results, uncertainties, and recommendations effectively; incorporate feedback from CI Leads and partner functions; and contribute constructively to multidisciplinary discussions.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Immunology, Molecular Biology, or a related discipline, with minimal 2 years of relevant postdoctoral experience, preferably with experience in drug discovery and development within the pharmaceutical industry.
• Expertise in bioinformatics and the analysis of large-scale biological datasets, such as single-cell RNA-seq, spatial transcriptomics, and proteomics.
• Strong understanding of disease biology and mechanisms, preferably in immunology, pulmonology, gastroenterology, rheumatology, and/or dermatology.
• Experience integrating multiple data types and lines of evidence to assess target biology, MoA, translational relevance, biomarkers, or patient segments.
• Proficiency in reproducible data analysis and visualization using relevant programming languages and computational environments; experience with machine learning/AI methods for biological data is desirable.
• Ability to critically evaluate data quality, analytical assumptions, uncertainty, and the limitations of computational evidence.
• Demonstrated ability to translate complex findings into concise, decision-relevant insights and presentations for multidisciplinary drug discovery teams.
• Excellent communication, interpersonal, organizational, and presentation skills.
• Proven ability to work independently on assigned deliverables while collaborating closely with CI Leads and cross-functional colleagues.

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 $140,800 and $211,200. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements.