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Generate Biomedicines

Director, Product Management

Generate Biomedicines, Somerville, Massachusetts, us, 02145


About Generate:Biomedicines

Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development.

We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received nearly $700 million in funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with over 275 employees.

The Role:

The Director, Product Management will play a pivotal role in the development of Generate's Machine Learning platform to produce novel therapeutics. This is a unique opportunity to drive the definition of cutting-edge platform capabilities working across dry and wet lab teams. The successful candidate will be able to influence stakeholders and cross-functional team members in a fast-paced, highly interdisciplinary and entrepreneurial environment. This role will report to the VP, ML Strategy & Operations.

Here's how you will contribute:

Develop strategic product roadmaps aligning with company goals and vision in collaboration with research and engineering teams, conducting user research and assessing opportunities.

Drive the development, testing and launch of new capabilities on the platform, working with cross functional teams and program management.

Collaborate with research and engineering leads to define and track performance metrics.

Identify and work to acquire new datasets that would contribute to the development of new platform capabilities.

Keep up to date on the competitive landscape to ensure Generate's platform continues to be differentiated relative to SOTA.

The Ideal Candidate will have:

10+ years of experience, including managing and driving the delivery of AI / ML products in cross functional teams and in research.

Proven experience in defining and driving a long-term product strategy, aligning business objectives with product development goals.

Experience working in drug discovery.

Highly effective communication skills across all levels of an organization.

Proactive ability to learn and acquire domain knowledge to enhance skillset.

Experience working with cross functional teams, with the ability to foster an inclusive and collaborative environment, and build relationships and trust with a diverse group.

Masters or PhD in Molecular Biology, Computer Science, Engineering or a related discipline.

Generate:Biomedicines is

committed to equal employment opportunity

regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

COVID Safety:

Generate:Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The Company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable.

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