Senior Director, Research & Early Development Technology

Overview \n\n \n\nAlnylam is seeking a deeply technical and strategic leader to serve as Senior Director, Research \u0026 Early Development (ReDev) Technology. This role owns the domain-specific scientific systems architecture, computational platforms, and AI-enabled digital capabilities supporting Target/Biomarker Discovery, RNAi Platform \u0026 Delivery, Screening, Lead Optimization, DMPK, Bioanalytics, Investigative Sciences, and Non-Clinical Safety. This is a strategic technology leadership role that also requires meaningful architectural depth. The Senior Director must partner closely with Research \u0026 Early Development leaders at all levels while actively guiding domain system architecture, integration patterns, modern data design, AI-enabled workflow modernization, secure scientific computing environments, and multi-omics/imaging data integration. The role requires familiarity with large-scale human genetics and cohort datasets (e.g., UK Biobank, FinnGen, NASHBio) and the ability to design systems that enable their effective utilization for target discovery, validation, and translational research. \n\n \n\nThe Senior Director will serve as the IT representative to the Research \u0026 Early Development Leadership Team, contributing to strategic discussions and ensuring digital priorities are tightly aligned with scientific and portfolio objectives. The role also requires close collaboration with Clinical Development and CMC organizations to ensure discovery and preclinical digital capabilities are aligned with downstream clinical, manufacturing, and regulatory requirements \u2014 enabling seamless lifecycle data continuity from target discovery through clinical development and CMC readiness. Shared lab execution platforms (e.g., ELN, LIMS) are owned by the Lab-to-Product Platform \u0026 Operations organization. Enterprise data engineering and centralized AI platforms are owned by the Enterprise Data \u0026 AI organization. This role partners closely with both to ensure ReDev domain systems are integrated, AI-ready, and aligned with enterprise standards. \n\n \n\nThis hybrid role is based in Cambridge, MA with regular engagement at our Cambridge headquarters. \n\n \n\nKey Responsibilities \n\n \n\nOwn the ReDev Domain Architecture \u0026 Application Strategy \n\n * Define and govern the technical architecture across discovery and preclinical domain systems \n\n\n * 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 \n\n\n * Enable effective integration and analysis of large-scale human genetics and cohort datasets (e.g., UK Biobank, FinnGen, NASHBio) \n\n\n * Ensure domain systems integrate effectively with shared ELN/LIMS and enterprise data platforms \n\n\n\nPartner on Domain Data Architecture \u0026 Snowflake Integration \n\n * Partner with Enterprise Data \u0026 AI to design domain data flows into Alnylam\u2019s Snowflake-based enterprise data platform \n\n\n * Define domain data requirements for genomics, proteomics, spatial omics, and imaging datasets \n\n\n * Enable structured data products for human genetics and translational research \n\n\n * Collaborate on metadata alignment, ontology mapping, and cross-cohort harmonization \n\n\n * Enterprise Data \u0026 AI owns core Snowflake platform engineering and infrastructure \n\n\n\nPartner on Generative \u0026 Agentic AI-Enabled Scientific Systems \n\n * Partner with Enterprise Data \u0026 AI to design and operationalize AI-enabled workflows across discovery and preclinical domains \n\n\n * Apply generative AI to support hypothesis generation, target identification, and multi-omics interpretation \n\n\n * Architect agentic AI systems capable of orchestrating cross-dataset analyses (e.g., cohort genetics + proteomics + imaging) \n\n\n * Ensure AI capabilities are embedded into production scientific workflows \n\n\n * Enterprise Data \u0026 AI owns core AI platform engineering and model infrastructure \n\n\n\nArchitect Secure Scientific Computing \u0026 Trusted Research Environments \n\n * Design and operate Trusted Research Environments (TREs) to support secure analysis of sensitive human genetics and cohort data \n\n\n * Enable controlled-access environments for datasets such as UK Biobank, FinnGen, and NASHBio \n\n\n * Ensure compliance with privacy, governance, and regulatory standards \n\n\n * Partner with Enterprise Data, Security, and Infrastructure teams to align on enterprise security controls \n\n\n\nServe as Strategic \u0026 Technical Thought Partner \n\n * Act as primary IT representative to the Research \u0026 Early Development Leadership Team \n\n\n * Contribute to portfolio and target strategy discussions with a technology and data perspective \n\n\n * Translate scientific strategy into scalable digital and AI-enabled architecture \n\n\n * Represent IT in cross-functional and executive leadership forums \n\n\n * Partner with Clinical and CMC technology leaders to ensure discovery and preclinical systems enable translational continuity, biomarker integration, clinical readiness, and downstream manufacturing alignment \n\n\n * Contribute to cross-functional lifecycle architecture discussions spanning ReDev, Clinical, and CMC \n\n\n\n \n\nQualifications \n\n \n\n * 15+ years of progressive IT leadership supporting drug discovery and preclinical development \n * Demonstrated architectural depth across complex scientific systems \n * Proven ability to partner effectively with senior scientific stakeholders \n * Experience operating within senior leadership forums (e.g., R\u0026D Leadership Teams) with demonstrated executive presence \n * Familiarity with large-scale population and cohort datasets such as: UK Biobank, FinnGen, NASHBio \n * Demonstrated understanding of how these datasets are utilized for Target discovery and validation, Rare variant association, Translational research \n * Experience supporting or integrating: Genomics and variant datasets, Spatial omics platforms, Proteomics datasets, Imaging-genomics analyses \n * Deep expertise in modern data engineering concepts: ELT/ETL patterns, Lake/lakehouse architectures, API-first integration, Cloud-native data platforms \n * Experience integrating domain scientific systems with enterprise data platforms (e.g., Snowflake) in partnership with centralized teams \n * Advanced SQL and Python proficiency with production-quality engineering standards \n\n\n * Demonstrated practical experience applying both generative AI and agentic AI in scientific or R\u0026D environments \n\n\n * Experience operationalizing AI within production discovery workflows \n\n\n * Hands-on experience designing and implementing Trusted Research Environments (TREs) \n\n\n * Strong understanding of responsible AI and secure scientific computing \n\n\n\n \n\nPreferred Qualifications \n\n * Experience with: Digital Pathology \u0026 Imaging: HALO, HALO Link, Patholytix, Visiopharm; Non-Clinical Safety \u0026 DMPK: SEND environments, Phoenix (WinNonlin); Bioanalytics Platforms: Benchling, Sapio; Omics \u0026 Workflow Engines: Paradigm4, DNAnexus, AWS HealthOmics, Nextflow; High-Content Imaging: Signals Image Artist\n\n\n * Experience in RNAi, oligonucleotide, or gene-modality platforms strongly preferred \n\n\n\n \n\nU.S. Pay Range\n\n$226,800.00 - $306,800.00\n\nThe 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).\n\nAlnylam\u2019s 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.\n\nLearn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers\n\nAbout Alnylam\n\nWe are the leader in RNAi therapeutics \u2013 a revolutionary approach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what\u2019s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We\u0027re proud to be a globally recognized top employer, where an authentic, inclusive culture and breakthrough thinking fuel one another.\n\nAt Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.\n