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Sr Director, Strategic Technologies

Alnylam Pharmaceuticals
paid time off
United States, Massachusetts, Cambridge
675 West Kendall Street (Show on map)
Mar 18, 2026

Overview

Alnylam isseekinga 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 Target/BiomarkerDiscovery, 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-omics/imagingdata 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 effectiveutilizationfor 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 alignedwith scientific and portfolioobjectives.

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 ensureReDevdomain 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 theReDevDomain 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 andoperateTrusted 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, andNASHBio

  • 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 spanningReDev, Clinical, and CMC

RequiredQualifications

  • 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

  • Experienceoperatingwithin senior leadership forums (e.g., R&D Leadership Teams) withdemonstratedexecutive 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 areutilizedfor:

  • 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

  • Deepexpertisein modern data engineering concepts:

  • ELT/ETL patterns

  • Lake/lakehousearchitectures

  • 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 Pythonproficiencywith 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

PreferredQualifications

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)

  • BioanalyticsPlatforms:Benchling, Sapio

  • Omics & Workflow Engines: Paradigm4,DNAnexus, AWSHealthOmics,Nextflow

  • High-Content Imaging: Signals Image Artist

Experience in RNAi, oligonucleotide, or gene-modality platformsstronglypreferred.

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

AboutAlnylam

We are the leader in RNAi therapeutics- a revolutionaryapproach 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 possibleand are just at the beginning of what's 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're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel 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.

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