Sr. Director, Computational Biology

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value.

The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules.

Job Summary (Primary function)

The Senior Director, Computational Biology, is a scientific and strategic leader within the Computational Discovery organization. This role oversees a team of computational biologists responsible for driving biological insight across the R&D pipeline, from target identification and validation to translational biomarker discovery, patient stratification, genomics analysis, and clinical data integration. Working in close partnership with Discovery Biology, Translational Sciences, Clinical Operations, external collaborators, and platform technology groups, this leader will shape and execute scientific and analytic strategies that enable the discovery and development of transformative therapies in oncology, dermatology, and related disease areas. The position reports to the Vice President, Computational Discovery.

Essential Functions of the Job (Key responsibilities)

Strategic & Scientific Leadership

* Lead and grow the Computational Biology function, setting scientific direction, establishing best practices, and ensuring high-quality, innovative analyses that advance portfolio decision-making.

* Partner with discovery and translational program teams to design computational strategies for target ID, MOA elucidation, patient stratification, and biomarker hypothesis development.

* Serve as a thought leader in genomics, multi-omics integration, and biological modeling; bring forward emerging technologies, platforms, and analytical approaches.

* Define the strategic vision for the use of AI/ML approaches in biological data analysis, including opportunities for advanced modeling, multimodal data integration, and predictive analytics across discovery and translational programs.

Program Support & Execution

* Drive target identification and validation efforts by integrating public and private multi-omics datasets, functional genomics screens, pathway modeling, and literature/knowledge graph analyses to prioritize high-value therapeutic hypotheses.

* Oversee analysis, interpretation, and integration of diverse data types (genomics, transcriptomics, single-cell, proteomics, real-world data, etc.) to generate actionable insights for research and clinical programs.

* Partner with clinical and translational teams to drive reverse translation from clinical studies, including identifying factors underlying patient response, resistance mechanisms, and biomarker refinement.

* Guide the application of ML in biomarker discovery, including feature selection, model validation, and biological interpretation in support of translational hypotheses

* Collaborate with clinical teams, regulatory, and external partners to support biomarker plans, CDx-relevant analytics, and data packages for regulatory submissions as needed, and contribute to decision-making.

Collaboration & Cross-Functional Leadership

* Build strong partnerships across R&D to ensure seamless integration of computational biology, data science, and experimental teams; advocate for AI/ML literacy and responsible use across stakeholder groups.

* Represent Computational Biology in internal committees and external collaborations; communicate complex outputs in clear, biologically meaningful terms to audiences ranging from bench scientists to executives.

* Mentor team members in computational biology and AI/ML approaches; support career development and recruitment of talent with emerging skills in modern computational methods.

Qualifications (Minimal acceptable level of education, work experience, and competency)

Education & Experience

* Ph.D.,in Computational Biology, Bioinformatics, Molecular Biology, Cancer Biology, Genetics, or a related field.

* 10+ years of industry or academic experience with a strong record of scientific accomplishment in computational biology, oncology/immuno-oncology, or translational science.

* 5+ years of leadership experience

* Demonstrated success in leading scientific teams and delivering impactful insights into drug discovery and development programs.

Technical & Scientific Expertise

* Deep expertise in bioinformatics, multi-omics analysis, and biological interpretation.

* Strong familiarity with biomarker discovery, translational science, and clinical genomics workflows.

* Experience with modern AI/ML approaches for biological data required.

Leadership & Behavioral Attributes

* High emotional intelligence and a collaborative leadership style; proven ability to build trust and work seamlessly across diverse functional groups.

* Ability to manage and prioritize multiple projects in a fast-paced R&D environment.

* Passion for understanding human biology and advancing novel therapeutics.

* Innovative mindset with a strong drive to push scientific boundaries.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.

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