Senior Technical Program Manager
In OfficeSeniorEMEABiotechnologyLife SciencesProgram ManagerTechnical Project ManagerLinearProgram ManagementJirahypothesisHarness
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Requirements
- Essential:
- c. 4–5 years’ experience in technical program coordination or project management within a tech forward, life sciences or research driven environment.
- A solid professional or academic background in Biology, Chemistry, or Computational Biology. You need to understand the why behind the research you are coordinating.
- Comfortable working closely with Machine Learning Engineers; you understand the basic lifecycle of model development and data pipelining.
- You are comfortable prioritising in an ambiguous environment and don't require a pre-defined playbook to be effective.
- Exceptional organisation skills with the ability to manage multiple competing priorities across different domains (specifically Science vs. Engineering).
- Experience using tools like Jira or Linear to manage research workflows.
- Previous experience in a high-growth "TechBio" or Biotech startup.
- Culture and values
- Culture and values
- We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.
- ThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
- Thoughtful
- BraveBrave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
- Brave
- DeterminedDetermined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.
- Determined
- TogetherTogether at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.
- Together
- Creating an extraordinary company
- We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.
- We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
- Hybrid working
- Hybrid working
- It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.
- would require you to be able to come into the office 3 days a week
- Please note that when you submit an application, your data will be processed in line with our privacy policy.
- >> Click to view other open roles at Isomorphic Labs
Responsibilities
- Take full ownership of multiple, concurrent research roadmaps, ensuring that milestones are clearly defined and actions between teams are managed effectively.
- Facilitate clear and open communication between Research Scientists, ML Engineers and other teams, ensuring full alignment on requirements and project timelines at all times.
- Design and implement frameworks to track progress in experimental environments where the path forward isn't always linear.
- Set the operational rhythm of technical syncs, compiling agendas that bridge the gap between code and Life Sciences, and ensuring action items are closed out.
- Identify potential bottlenecks in the research pipeline (e.g., data availability, compute resources) and proactively work with senior TPMs to resolve them before they impact the roadmap.
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