Senior Director, Research & Early Development Technology

Own the ReDev Domain Architecture & Application Strategy Define and govern the technical architecture across discovery and preclinical domain systems Lead lifecycle management of applications supporting: Molecular design and modeling RNAi delivery and screening platforms Digital pathology and imaging systems DMPK, bioanalytics, and nonclinical safety Omics, spatial omics, proteomics, and high-throughput platforms Enable effective integration and analysis of large-scale human genetics and cohort datasets (e.g., UK Biobank, FinnGen, NASHBio) Ensure domain systems integrate effectively with shared ELN/LIMS and enterprise data platforms Partner on Domain Data Architecture & Snowflake Integration Partner with Enterprise Data & AI to design domain data flows into Alnylam's Snowflake-based enterprise data platform Define domain data requirements for genomics, proteomics, spatial omics, and imaging datasets Enable structured data products for human genetics and translational research Collaborate on metadata alignment, ontology mapping, and cross-cohort harmonization Enterprise Data & AI owns core Snowflake platform engineering and infrastructure Partner on Generative & Agentic AI-Enabled Scientific Systems Partner with Enterprise Data & AI to design and operationalize AI-enabled workflows across discovery and preclinical domains Apply generative AI to support hypothesis generation, target identification, and multi-omics interpretation Architect agentic AI systems capable of orchestrating cross-dataset analyses (e.g., cohort genetics + proteomics + imaging) Ensure AI capabilities are embedded into production scientific workflows Enterprise Data & AI owns core AI platform engineering and model infrastructure Architect Secure Scientific Computing & Trusted Research Environments Design and operate Trusted Research Environments (TREs) to support secure analysis of sensitive human genetics and cohort data Enable controlled-access environments for datasets such as UK Biobank, FinnGen, and NASHBio Ensure compliance with privacy, governance, and regulatory standards Partner with Enterprise Data, Security, and Infrastructure teams to align on enterprise security controls Serve as Strategic & Technical Thought Partner Act as primary IT representative to the Research & Early Development Leadership Team Contribute to portfolio and target strategy discussions with a technology and data perspective Translate scientific strategy into scalable digital and AI-enabled architecture Represent IT in cross-functional and executive leadership forums Partner with Clinical and CMC technology leaders to ensure discovery and preclinical systems enable translational continuity, biomarker integration, clinical readiness, and downstream manufacturing alignment Contribute to cross-functional lifecycle architecture discussions spanning ReDev, Clinical, and CMC 15+ years of progressive IT leadership supporting drug discovery and preclinical development Demonstrated architectural depth across complex scientific systems Proven ability to partner effectively with senior scientific stakeholders Experience operating within senior leadership forums (e.g., R&D Leadership Teams) with demonstrated executive presence Familiarity with large-scale population and cohort datasets such as: UK Biobank FinnGen NASHBio Demonstrated understanding of how these datasets are utilized for: Target discovery and validation Rare variant association Translational research Genomics and variant datasets Spatial omics platforms Proteomics datasets Imaging-genomics analyses Domain Architecture & Data Engineering Fluency ELT/ETL patterns Lake/lakehouse architectures API-first integration Cloud-native data platforms Experience integrating domain scientific systems with enterprise data platforms (e.g., Snowflake) in partnership with centralized teams Advanced SQL and Python proficiency with production-quality engineering standards Demonstrated practical experience applying both generative AI and agentic AI in scientific or R&D environments Hands-on experience designing and implementing Trusted Research Environments (TREs) Strong understanding of responsible AI and secure scientific computing Digital Pathology & Imaging: HALO, HALO Link, Patholytix, Visiopharm Non-Clinical Safety & DMPK: SEND environments, Phoenix (WinNonlin) Bioanalytics Platforms: Benchling, Sapio Omics & Workflow Engines: Paradigm4, DNAnexus, AWS HealthOmics, Nextflow High-Content Imaging: Signals Image Artist Experience in RNAi, oligonucleotide, or gene-modality platforms strongly preferred. LI-LN1 U.S. Pay Range $226,800.00 - $306,800.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers

Biopharmaceutical company pioneering RNA interference (RNAi) therapeutics for rare genetic, cardiometabolic, and CNS diseases. Headquartered in Cambridge, MA.

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