Executive Director, Computational Biology Cardiovascular Renal Metabolic

Description

The Executive Director, Computational Biology – Cardio-Renal-Metabolic (CRM) Diseases is a scientific leader responsible for developing and delivering computational biology strategies for kidney research while contributing expertise across the broader CRM portfolio. As part of Computational Innovation in Ridgefield (RDG), the Executive Director will serve as the primary computational biology contact for the local CRM Therapeutic Area and as a key partner to Research, Experimental Medicine, Clinical Pharmacology and Safety. The Executive Director will work in close collaboration with the Global Computational Biology CRM Head and teams to align priorities, share expertise, and enable coordinated delivery across the portfolio.

The Executive Director will guide the integration of human genetics, multi-omics, advanced analytics, AI-enabled methods, and translational data to identify and validate therapeutic opportunities, support indication and patient-segmentation strategies, identify biomarkers, and use computational evidence to inform project decisions from target discovery through proof of concept. The role is accountable for high-quality scientific delivery, effective collaboration, capability development, and computational insights that advance medicines for patients with kidney and related cardio-renal-metabolic diseases.

As a member of the Computational Innovation (CI) Ridgefield leadership team, the Executive Director will help shape site strategy, represent the Computational Biology CRM function, ensure operational excellence across CI functions, and foster a culture of high performance, and Innovation Unit wide collaboration. The Executive Director will strengthen the visibility and impact of Computational Innovation at the Ridgefield site and represent the organization externally through strategic academic and industry partnerships across the United States.

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 an opportunity for all employees to collaborate internationally, offering visibility and the opportunity to directly contribute to the company's success. We realize that our strength and competitive advantage lie with our people. We support our employees in several 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

Strategy and Portfolio Contribution

• Develop and implement computational biology strategies for kidney research, aligned with the CRM therapeutic strategy and the broader Computational Innovation strategy.

• Serve as a strategic and scientific partner to therapeutic-area leaders, translating computational evidence into clear recommendations for program and portfolio decisions.

• Provide computational biology leadership from target discovery through clinical proof of concept, ensuring portfolio impact with analyses are timely, rigorous, reproducible, and aligned to the program needs.

• Contribute to disease-area and asset strategies across Kidney and the wider CRM portfolio, identifying connections across renal, cardiovascular, metabolic, and related disease biology.

• Prioritize activities and resources for assigned programs and initiatives, with clear deliverables and measures of impact.

Scientific and Data Strategy

• Integrate human genetics, single-cell and spatial data, multi-omics, real-world data, clinical data, quantitative disease biology, and AI/ML to generate actionable biological insights.

• Develop computational approaches for target identification and validation, mechanism-of-action understanding, translational biomarkers, patient stratification, and indication expansion.

• Evaluate emerging scientific and technology trends and help translate relevant advances into practical capabilities for project teams.

• Represent the company through selected collaborations, consortia, publications, and engagement with academic, biotechnology, and technology partners.

Team and Capability Leadership

• Lead and develop a team of computational biologists, fostering scientific excellence, accountability, collaboration, and an inclusive culture.

• Support capability planning, recruitment, and development in line with emerging portfolio and technology needs.

• Translate strategy to scientists, provide clear scientific direction, and create opportunities for professional growth.

• Promote collaboration and effective use of expertise across sites, functions, programs, and disease areas.

Cross-Functional Partnership and Influence

• Interface with departments within Computational Innovation, including computational biology teams, Human Genetics, Data Excellence, Computational Safety, and AI/ML teams.

• Partner with colleagues in Research, Experimental Medicine, Clinical Pharmacology and Safety.

• Connect disease-area priorities with computational biology and data capabilities, helping teams resolve trade-offs and use shared approaches where they add value.

• Work effectively across a complex matrix and communicate scientific strategy and results to technical and non-technical audiences.

• Contribute to external partnerships that provide access to relevant data, methods, expertise, and innovation for Kidney and CRM research.

Requirements

• PhD with at least twelve-plus (12+) years postdoctoral and drug discovery experience in Computational Biology, Bioinformatics, Computer Science, or a related quantitative discipline required.

• Five-plus (5+) years of experience in strategic leadership, global team management, and cross-functional influence.

• Experience managing budgets, outsourcing, and cross-site operations.

• Proven track-record of scientific and pharmaceutical accomplishments, preferably in Kidney or other related CRM indications

• Demonstrated expertise in computational driven target and/or biomarker identification.

• Excellent communication skills, with the ability to convey complex computational concepts to divers audiences.

• Strong interpersonal skills for fostering collaboration across multidisciplinary teams and experience in mentoring junior scientists and fostering a culture of innovation.

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

The base salary range for this position is $262,400 to $393,600. The position may be eligible for a role-specific discretionary bonus, relocation assistance, 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, qualifications, and other factors permitted by law. Benefits include medical, dental, and vision coverage, retirement savings opportunities, paid time off, paid holidays, disability and life insurance benefits, and other company-sponsored benefits. For additional information regarding our benefits and Total Rewards offerings, please click here (https://www.boehringer-ingelheim.com/us/careers/explore-our-company/our-total-rewards) .

JOB ID

38069

Job function

Research

Career level

Leadership

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