Overview
Alnylam is seeking a deeply technical and strategic leader to serve as Senior Director Research & Early Development ReDev Technology. This role owns the domain-specific scientific systems architecture computational platforms and AI-enabled digital capabilities supporting TargetBiomarker Discovery RNAi Platform & 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 & 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-omicsimaging 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.
The Senior Director will serve as the IT representative within the Research & 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 - 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 & Operations organization. Enterprise data engineering and centralized AI platforms are owned by the Enterprise Data & AI organization. This role partners closely with both to ensure ReDev domain systems are integrated AI-ready and aligned with enterprise standards.
This hybrid role is based in Cambridge MA with regular engagement at our Cambridge headquarters.
Key Responsibilities
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 ELNLIMS and enterprise data platforms
Partner on Domain Data Architecture & Snowflake Integration
Partner with Enterprise Data & AI to design domain data flows into Alnylams 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
Required Qualifications
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
Human Genetics & Multi-Omics Expertise
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
Experience supporting or integrating Genomics and variant datasets Spatial omics platforms Proteomics datasets Imaging-genomics analyses
Domain Architecture & Data Engineering Fluency
Deep expertise in modern data engineering concepts ELTETL patterns Lakelakehouse 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
AI & Secure Computing Experience
Demonstrated practical experience applying both generative AI and agentic AI in scientific or R&D environments
Experience operationalizing AI within production discovery workflows
Hands-on experience designing and implementing Trusted Research Environments TREs
Strong understanding of responsible AI and secure scientific computing
Preferred Qualifications
Experience with modern discovery and preclinical technology ecosystems including 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.
U.S. Pay Range
226800.00 - 306800.00
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.
Alnylams 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 401kwith 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 httpswww.alnylam.comcareers
About Alnylam
We are the leader in RNAi therapeutics - 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 whats 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. Were proud to be a globally recognized top employer where an authentic inclusive culture and breakthrough thinking fuel one another.
At 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.