DirectJobHub
Jobs · Engineering · Massachusetts

Associate Director, Multimodal Discovery Platform

Alnylam Pharmaceuticals · Cambridge, MA · 2 mo ago
HybridEngineering$172k–$233k/yrFull-time

About the role

The Associate Director, Multimodal Discovery Platforms is responsible for the IT product ownership, architecture alignment, technology delivery, and operational stewardship of digital platforms supporting multimodal discovery workflows across Research & Early Development (ReDev).

Responsibilities

  • Lead Multimodal Discovery Technology Platforms

  • Own the lifecycle management, roadmap, and delivery of digital platforms supporting:

    • Omics and multi-omics
    • Spatial omics
    • Digital pathology
    • High-content imaging
    • Flow cytometry
    • Medical imaging

  • Partner with Scientists to Enable RNAi Discovery and Delivery

  • Collaborate with research and preclinical development teams to understand evolving scientific needs.

  • Translate scientific workflows into scalable technology solutions and implementation plans.

  • Drive adoption of digital capabilities that improve scientific productivity, data quality, and reproducibility.

  • Solution Delivery, Architecture & Engineering Partnership

  • Partner with enterprise and domain architects to define solution architectures that support multimodal discovery workflows.

  • Provide scientific and business context in partnership with business stakeholders to guide architecture, integration, and technology design decisions.

  • Collaborate with software engineering, data engineering, infrastructure, and security teams to ensure solutions are scalable, secure, and maintainable.

  • Review vendor architectures, technical designs, and integration approaches to ensure alignment with business requirements and enterprise standards.

  • Contribute to technology roadmaps, architecture reviews, and platform modernization initiatives.

  • Ensure multimodal discovery platforms are effectively integrated with enterprise data, AI, infrastructure, security, and laboratory technology ecosystems.

  • Enable Multimodal Data Workflows

  • Design and deliver workflows supporting acquisition, processing, analysis, and visualization of multimodal datasets.

  • Partner with IT Data & AI team and ReDev scientists to ensure multimodal data is accessible, governed, and AI-ready.

  • Drive Platform Integration & Automation

  • Lead integration initiatives across scientific applications, laboratory platforms, data environments, and analytics tools.

  • Define API-first integration patterns and scalable data exchange mechanisms.

  • Identify opportunities to automate scientific workflows and reduce manual processes.

  • Support AI-Enabled Scientific Workflows

  • Partner with IT Data & AI teams to enable AI and machine learning use cases across multimodal discovery domains.

  • Identify opportunities to leverage generative/agentic AI, omics/image analytics, and advanced computational methods.

  • Ensure multimodal platforms support future AI-enabled scientific workflows.

  • Operational Excellence & Governance

  • Establish governance for demand intake, prioritization, release management, and platform lifecycle management.

  • Ensure platforms are secure, scalable, reliable, and support scientific business continuity.

  • Define platform support models, service levels, and performance metrics.

  • Partner with business stakeholders to support user adoption, training, communications, and value realization.

  • Monitor platform utilization, user feedback, and business outcomes to inform roadmap and investment decisions.

Qualifications

  • Bachelor's degree in Computer Science, Bioinformatics, Computational Biology, Engineering, Life Sciences, or related field (or equivalent experience).
  • 10+ years of experience supporting scientific informatics, discovery technology, computational biology platforms, imaging informatics, or related domains within biotech or pharmaceutical organizations.
  • Experience delivering technology solutions supporting one or more of the following domains: Omics, Spatial omics, Digital pathology, High-content imaging, Flow cytometry, Medical imaging.
  • Strong understanding of modern software architecture, cloud-native platforms, API-first integration, and scientific data ecosystems.
  • Demonstrated ability to translate scientific workflows into technology requirements and partner with architects and engineers to deliver scalable solutions.
  • Experience leading cross-functional initiatives involving scientists, software engineers, data engineers, and external vendors.
  • Working knowledge of software engineering practices, including SDLC, testing strategies, CI/CD, and platform observability.
  • Strong leadership, communication, and stakeholder engagement skills.

Preferred Qualifications

  • Advanced degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Life Sciences.
  • Experience with platforms such as: HALO, HALO Link, Visiopharm, Patholytix, Signals, Image Artist, FlowJo, OMERO, DNAnexus, Paradigm4, AWS Health, Omics, Lifebit.
  • Proficiency with Python, SQL, Snowflake, Databricks, and modern scientific computing environments.
  • Familiarity with machine learning, image analytics, and AI-enabled scientific workflows.
  • Experience in RNAi, oligonucleotide therapeutics, or advanced modality research environments.

Similar jobs