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Director, IT Scientific Solutions Architect

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: Incyte
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Security, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

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.

Position

Summary

The Scientific Data Enablement Director is 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
  • 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, reuse, 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.
  • 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, while 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.
  • 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.
  • 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.
  • 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…
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