Associate Director, R&D IT
Listed on 2026-02-06
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IT/Tech
Data Analyst, IT Business Analyst
Summary
We are seeking an exceptional, hands-on Associate Director, R&D IT leader that is a highly hands-on technology and people leader responsible for end-to-end IT partnerships, solution delivery, and operational support across the company’s radiopharmaceutical Research & Development organization.
This role is intentionally designed for a lean, asset-centric R&D environment. The leader will operate as a “Swiss Army knife,” personally executing across the full solution lifecycle—from scientific and clinical business partnership through solution design, configuration or development, testing, validation, deployment, and production support—while also managing vendors, budget, and a small internal team
The role serves as the primary IT partner for asset-focused R&D functions, including:
- Medical Affairs
- Medical Imaging
- Clinical Operations
- Regulatory Affairs
- Research & Pharmaceutical Development (RPD)
- Pharmacovigilance & Patient Safety
- Clinical Science
- Biomarkers
- Biometrics / Data Sciences
- Pharma Solutions & Asset Management
The ideal candidate brings a very hands-on all-round credibility in the R&D space across all the functions above, working with business and customer stakeholders for meeting business needs with technology, architectural and design leadership, hands-on development, scrappy and roll up your sleeve implementation expertise, providing solutions support for testing, post go-live support and validation activities throughout the lifecycle.
A successful candidate has a deep understanding of R&D asset life cycles, key R&D applications and systems across the business portfolio, study strategies, regulatory and quality needs, development milestones and all R&D data needs including analytics and reporting needs, future focused R&D data products, AI and Gen AI use cases that bring tangible ROI to the R&D organization, translates scientific, clinical, imaging, safety, and regulatory needs into pragmatic, compliant technology solutions, has high level of influencing experience and successes in steering business partners towards standard IT solutions vs solutions they may prefer, and balances speed, quality, and compliance in a fast-moving radiopharmaceutical R&D environment.
This role will shape the enterprise’s R&D IT journey as R&D grows from a business standpoint across all business functions, integrates R&D focused organizations as part of Lantheus 3.0 and external business partners in CRO’s and similar organizations.
This position is based in Massachusetts and requires a presence on-site (two/three) days per week, and open to applicants authorized to work for any employer within the United States.
Key Responsibilities /Essential Functions Enterprise R&D IT Strategy, Operations & Support- Set and execute a multi-year R&D IT roadmap aligned with business priorities and capabilities needed across all Lantheus R&D functions including integrating R&D focused organizations as part of Lantheus 3.0.
- Personally lead and contribute to:
- Business and system requirements definition
- Solution architecture and design
- Configuration, scripting, or development as required
- Integration between R&D, clinical, regulatory, quality and data systems
- Testing, validation, release, and post-go-live support
- Operate across commercial Off-the shelf SaaS and non-SaaS platforms, vendor-hosted systems, and custom solutions.
- Ensure solutions are right-sized for a midsize organization—robust but not over engineered
- Lead the shift from a fragmented, application-centric reporting ecosystem to an enterprise-standardized data foundation with governed, reusable data entities.
- Establish data integration, mastering, lineage, and governance frameworks that materially improve data quality, accessibility, and trust.
- In partnership with the data and information teams, create a searchable R&D data lake, data marketplace and a suite of data products enabling self-service analytics, natural-language data queries, and secure business-friendly discovery and reuse of data assets. Also identify and create AI and Gen AI solutions (off-the-shelf, SaaS or custom built) that provide differentiating competitive advantage for the R&D business areas including functional…
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