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Generate:Biomedicines

Technical Program Manager

Posted Yesterday
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In-Office
Somerville, MA, USA
120K-190K Annually
Mid level
In-Office
Somerville, MA, USA
120K-190K Annually
Mid level
The Technical Program Manager will coordinate interdisciplinary scientific programs, aligning computational modeling and experimental design to drive research initiatives and deliver platform capabilities.
The summary above was generated by AI

The Role: 

Generate is looking for a Technical Program Manager or Senior Technical Program Manager who will play a pivotal role in coordinating interdisciplinary scientific programs that integrate machine learning, computational biology, and experimental biology to produce novel therapeutics. With their scientific or engineering background, they will drive the definition of cross-functional research and engineering roadmaps and enable the delivery of platform capabilities across wet and dry lab teams. 

The successful candidate will work closely with scientific and engineering leaders to align computational modeling, experimental design, and data generation efforts. They will enable teams to focus on the highest-impact scientific questions by driving development of technical goals, coordinating complex dependencies, and ensuring efficient collaboration across disciplines. The ideal candidate thrives in highly interdisciplinary environments and is able to influence stakeholders across research and engineering teams. 

Here's how you will contribute:

  • Coordinate interdisciplinary scientific programs by collaborating with scientists and engineers across computational and experimental teams to define roadmaps, priorities, and scope 
  • Partner closely with scientific and engineering leads as a strategic thought partner to align modeling, experimentation, and data generation efforts and ensure tight feedback loops 
  • Drive end-to-end planning and execution of cross-functional initiatives spanning wet lab and computational teams 
  • Navigate ambiguity and evolving scientific priorities to track progress against goals, identify risks, and propose solutions 
  • Facilitate communication and collaboration across diverse teams, ensuring alignment on scientific objectives, milestones, and deliverables 
  • Develop and manage stakeholder communications with scientists and engineers, including reporting, program updates, and metrics 
  • Evaluate and improve ways of working across interdisciplinary teams to enhance efficiency, repeatability, and sustainability 
  • Lead working sessions and scientific discussions to synthesize insights, clarify complex problems, and drive alignment on next steps 

The Ideal Candidate will have:

  • Experience independently program managing complex technical or scientific initiatives in fast-paced, evolving environments (AI/ML experience preferred) 
  • Demonstrated experience partnering with both computational and experimental scientific teams to coordinate research and development efforts 
  • Strong ability to operate at the intersection of data science, engineering, and laboratory science, translating across disciplines when needed 
  • Highly effective communication skills across all levels of an organization 
  • Proactive ability to learn and acquire scientific domain knowledge to enhance impact 
  • Ability to foster an inclusive and collaborative environment and build trust across diverse scientific and engineering teams 
  • Bachelor’s degree required; Master’s or PhD preferred in computational sciences, applied mathematics, life sciences, chemistry, bioengineering, or another relevant field. 

#LI-HM1

About Generate Biomedicines

We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.

Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.

At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.

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.

Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.


Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.

Per Year Salary Range
$120,000$190,000 USD

Top Skills

Computational Biology
Machine Learning
HQ

Generate:Biomedicines Somerville, Massachusetts, USA Office

101 South Street, Somerville, Massachusetts , United States, 02143

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