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How much do director preclinical development jobs pay per year?

As of Jul 12, 2026, the average yearly pay for director preclinical development in the United States is $92,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a Director Preclinical Development job?

A Director of Preclinical Development oversees the early-stage research and testing of drug candidates before they enter clinical trials. They manage preclinical studies, ensuring regulatory compliance, safety, and efficacy assessments. This role involves coordinating with cross-functional teams, external partners, and regulatory agencies to advance promising compounds. Strong expertise in toxicology, pharmacology, and regulatory guidelines is essential. The director plays a key role in shaping the preclinical strategy to support successful drug development.

What are the key skills and qualifications needed to thrive in the Director Preclinical Development position, and why are they important?

To thrive as a Director Preclinical Development, you need deep expertise in pharmaceutical or biotechnology research, strong project management abilities, and an advanced degree (Ph.D., Pharm.D., or equivalent) in a life sciences field. Familiarity with regulatory guidelines (such as GLP), experience using data management and statistical analysis software, and prior leadership roles in preclinical studies are essential. Exceptional communication, problem-solving, and team leadership skills set candidates apart in managing multidisciplinary teams and collaborative projects. These competencies are crucial for successfully guiding drug candidates through preclinical stages while ensuring regulatory compliance and timely project delivery.

What are the typical responsibilities and team dynamics for a Director of Preclinical Development?

A Director of Preclinical Development is responsible for overseeing the planning, execution, and management of preclinical research programs, ensuring that studies meet scientific, regulatory, and project milestones. You will typically work with cross-functional teams including toxicologists, pharmacologists, regulatory affairs professionals, and external partners, fostering collaboration throughout the drug development process. The role often involves reviewing study designs and data, preparing regulatory submissions, and providing strategic direction to advance compounds toward clinical testing. Working closely with upper management, you'll play a key part in shaping research priorities and resource allocation. This position offers significant influence over drug development strategies and opportunities for advancement to higher executive or scientific leadership roles.

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Director Preclinical Development jobs near you
Infographic showing various Director Preclinical Development job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,386 per year, or $44.4 per hour.
Associate Director, Multimodal Discovery Platform

Associate Director, Multimodal Discovery Platform

Alnylam Pharmaceuticals

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Overview
Alnylam is seeking a highly technical and delivery-oriented leader to serve as Associate Director, Multimodal Discovery Platforms. This role 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).
The Associate Director will lead technology solutions supporting Omics, Spatial Omics, Digital Pathology, High-Content Imaging, Flow Cytometry, and Medical Imaging. The role partners closely with scientists, software engineers, data engineers, architects, and external vendors to deliver scalable, integrated, and AI-ready solutions that accelerate target discovery, biomarker research, translational science, RNAi discovery and delivery, and preclinical development.
This position requires a leader who can bridge science and technology while demonstrating strong architecture and software engineering fluency. The successful candidate must be able to understand complex scientific workflows, translate business needs into technology requirements, evaluate technical design options, and partner effectively with architects and engineers to deliver scalable and sustainable solutions.
IT Data & AI owns enterprise data engineering, Snowflake, and enterprise data/AI platforms. Lab-to-Product Platform & Operations Technology owns ELN, generic LIMS, and laboratory execution platforms. This role partners closely with both teams to ensure multimodal discovery platforms are integrated, interoperable, and aligned with enterprise standards.
Key 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
  • Define technology roadmaps aligned with scientific priorities and business outcomes.

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.
  • Enable integration across imaging, pathology, omics, and flow cytometry ecosystems.
  • 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 HealthOmics
    • Lifebit
  • Experience supporting genomics, transcriptomics, proteomics, spatial biology, or imaging-based discovery workflows.
  • Proficiency with Python, SQL, Snowflake, Databricks, and modern scientific computing environments.
  • Experience with cloud-native architectures and large-scale scientific data platforms.
  • Familiarity with machine learning, image analytics, and AI-enabled scientific workflows.
  • Experience in RNAi, oligonucleotide therapeutics, or advanced modality research environments.

#LI-LN1 #LI-HYBRID
U.S. Pay Range
$172,200.00 - $233,000.00
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
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 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, 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.

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