About Us Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, genetics, chemistry and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.

Where You Fit In

As a Senior Project Manager, you will lead the execution of complex, cross-functional projects at the intersection of machine learning, genome biology, and drug discovery. You’ll play a pivotal role in helping our teams build and execute on project plans that enable scientific breakthroughs in target identification, molecule design, and therapeutic program advancement.

You’ll partner closely with a broad range of stakeholders - including ML Scientists, Bioinformaticians, Statistical Geneticists, Experimental Biologists, Product Managers, Engineers, and Leadership - to ensure projects are well-scoped, prioritized, and delivered effectively. These initiatives span internal program advancement and high-impact external collaborations, including pharmaceutical partnerships, and require tight coordination across both technical and scientific teams.

You will report to the Director of R&D Operations, and work with teams across Machine Learning, Target Identification, Engineering, Platform Biology, Platform Technology, Platform Chemistry, Legal, and Drug Discovery to drive the successful execution of our goals. This hybrid role is based in Boston. Some travel will be required, approximately once a quarter.

Key Responsibilities

• Lead the planning, execution, and delivery of projects across internal R&D and strategic partnerships.
• Drive quarterly and yearly project planning with teams and cross-functional stakeholders; define clear goals, outcomes, timelines, and resource needs.
• Establish and maintain robust project management practices tailored to project needs, including agile, waterfall, and hybrid working styles
• Track progress across multiple concurrent initiatives; identify risks and proactively remove blockers to keep teams on track.
• Facilitate strong collaboration across teams
• Ensure clear, timely communication of projects status, milestones, and risks to internal and external stakeholders.

Basic Qualifications

• 5+ years of experience in project or program Management, including leading complex, multi-stakeholder projects from planning through execution.
• Proven experience working Biotech with both technical and scientific teams.
• Exceptional organizational and communication skills, with experience engaging stakeholders from engineering, research, and leadership.
• Experience working in agile, cross-functional teams.
• Comfortable operating in a fast-paced, research-driven environment where priorities evolve based on new data and discovery.
• Strategic thinking and attention to detail; capable of zooming in and out as needed to support tactical execution and high-level planning.

Preferred Qualifications

• PMP certification or equivalent.
• Background in biology, computational sciences, or engineering.

What We Offer

• A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
• Highly competitive compensation, including meaningful stock ownership.
• Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
• Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
• Maternity and parental leave top-up coverage, as well as new parent paid time off.
• Focus on learning and growth for all employees - learning and development budget & lunch and learns.
• Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.