OverviewIncyte 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.
Position Summary
The IT Solutions Architect Director a senior leader responsible for maximizing the usability, quality, and impact of scientific data across Discovery and Pre Clinical Research. This role focuses on enabling scientists and analytics teams to get more value from data-through better capture practices, reusable data products, and fit for purpose workflows.
The Scientific Data Enablement Director works closely with Advanced Analytics and Data teams to translate R&D strategy into practical data enablement initiatives. They bring Discovery plus Pre Clinical scientific data expertise and can flex across a wide range of strategic and operational priorities as needs evolve.
Key Responsibilities
1. Discovery & Pre Clinical Data Enablement
* Act as the primary point of contact for Discovery and Pre Clinical teams on how scientific data should be captured, annotated, and organized to support decision making, re use, and advanced analytics.
* Partner with scientific leaders to understand evolving research strategies and translate them into practical data enablement roadmaps (e.g., better experiment capture, cross study comparability, data products that support key questions).
* Provide hands on guidance to project teams on how to structure assays, studies, and results data so that it can be reused across programs and modalities.
2. Partnership with Advanced Analytics & Data Teams
* Work closely with Advanced Analytics to identify high value use cases that depend on Discovery and Pre Clinical data (e.g., AI driven target discovery, predictive modeling, multimodal integration) and ensure data is enablement ready for these initiatives.
* Partner with Data Governance & Compliance to apply governance policies and standards within Discovery and Pre Clinical data workflows, without leading or owning governance frameworks. Governance strategy, policies, and controls remain the responsibility of the Data Governance function.
* Serve as a connector between scientific teams, Advanced Analytics, and Data Governance to ensure that governance requirements are practical for scientists and that high value analytics use cases are supported by appropriately governed data.
3. Scientific Data Products & Re Use
* Lead the identification and definition of scientific data products (e.g., reusable assay result sets, cross study biomarker packages, curated screening datasets) that support key Discovery and Pre Clinical workflows.
* Partner with data engineering and analytics teams to ensure these data products are well documented, discoverable, and FAIR aligned (Findable, Accessible, Interoperable, Reusable), making it easier for scientists and modelers to find and use data across programs.
* Champion the shift from one off data preparation to repeatable, productized data assets that can support multiple use cases over time.
4. Data Harmonization as a Competency
* Contribute scientific input to data harmonization efforts led by Data Governance & Compliance and Scientific Data Architecture roles-helping to define meaningful mappings, terminologies, and ontologies that reflect how scientists think and work.
* Validate that harmonization approaches remain fit for purpose for Discovery and Pre Clinical use cases (e.g., do not oversimplify critical scientific nuance).
* Support harmonization programs as one of several tools to enable scalable analytics and AI-while keeping the role's overarching focus on data enablement rather than on operating harmonization platforms or defining governance rules.
5. Flexible Lieutenant for Cross Cutting Data Initiatives
* Act as a flexible lieutenant to the Senior Director, R&D IT Strategy & Operations, stepping into cross functional initiatives where scientific data plays a critical role (e.g., new digital lab capabilities, pilot AI projects, data heavy partnerships).
* Take on special projects that require combining scientific insight with data and digital thinking, especially in ambiguous or emerging areas where responsibilities are not yet fully defined.
* Help shape and communicate the scientific data narrative across R&D, ensuring that data considerations are integrated early into new initiatives rather than as an afterthought.
6. Change Enablement & Culture Building
* Champion scientific data literacy and re use across Discovery and Pre Clinical teams-demystifying concepts such as data products, FAIR, metadata, and AI readiness.
* Develop and deliver targeted communications, training, and working sessions that show scientists how improved data practices reduce re work and accelerate science.
* Support functional change management plans for new data capabilities or workflows, in partnership with Research IT, Data Governance, and Advanced Analytics.
Qualifications
Basic Qualifications
* Advanced degree (Master's or PhD) in a Discovery or Pre Clinical scientific discipline (e.g., biology, pharmacology, toxicology, immunology) or a related field, with strong exposure to experimental research.
* 7+ years of experience working with Discovery and/or Pre Clinical scientific data in pharma, biotech, or complex R&D environments.
* Hands on experience with lab and scientific data systems (e.g., ELN, LIMS, SDMS, assay or instrument data integration) and understanding of how scientists use them day to day.
* Demonstrated ability to work effectively with both bench scientists and technical teams (data engineering, analytics, IT).
Preferred Qualifications
* Experience contributing to or consuming harmonized scientific data models or ontologies, even if not directly responsible for designing them.
* Familiarity with AI/ML use cases in R&D and what is required from data (lineage, documentation, quality, representativeness) to safely support them.
* Prior involvement in data related programs (e.g., data quality improvements, data product development, analytics or digital lab initiatives) that span multiple R&D functions.
* Strong communication and facilitation skills; ability to influence without owning governance or architecture, and to connect strategy to practical data practices at the bench.
Organizational Placement
This role is part of the Research IT organization and works in close partnership with:
* Senior Director, R&D IT Strategy & Operations (manager)
* Sr. Director, Advanced Analytics (Enayet)
* Director, Data (Vish)
* Director, IT Research Solution Delivery
* Solutions Architect, R&D Digital Platforms
* Discovery & Pre Clinical scientific and informatics leaders
Role Impact
The Scientific Data Enablement Director ensures that Discovery and Pre Clinical data is increasingly:
* Usable - structured and captured in ways that make sense to both scientists and analytics teams
* Reusable - productized and documented so it can support multiple questions and programs over time
* AI ready - aligned with the needs of emerging analytics and AI/ML capabilities
In doing so, this role helps R&D accelerate scientific discovery, derive deeper insights from existing experiments, and realize the full value of investments in digital and AI driven research, while remaining coordinated with governance and architecture leaders rather than duplicating or leading those functions.
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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