Senior Project Manager, Computational Biology & AI/ML (Contract-12 Months-Remote)

What You Will Contribute To Altos

As a Senior Project Manager at Altos, you will act as an operational anchor with a big-picture mindset for the Institute of Computation (IoC). Leveraging your own background in science, you will bridge the gap between complex biological questions and rigorous operational execution using project management. You will not just track tasks; you will actively shape how cross-functional teams of biologists, data scientists, and machine learning scientists and engineers collaborate to achieve ambitious goals. This role is designed for an operational expert who excels at translating abstract scientific goals into actionable project plans, connecting the dots between daily tasks and broader program objectives, and ensuring alignment across computational, scientific, and business units.

Responsibilities:

• Plan & Execute: Translate high-level scientific intent into actionable project plans for 4-6 multidisciplinary projects. Maintain and track visibility on goals, milestones, dependencies, and timelines to ensure delivery within scope and budget.
• Operational Execution & Big Picture Alignment: Collaborate closely with scientific leads to translate their vision into reality. You will ensure the team understands how their daily tasks contribute to the broader mission, proactively identify risks, and drive the accountability needed to ensure research milestones are met on time and within scope.
• Operational Coordination: Coordinate team operations, including meeting cadence, agendas, and workflows. Ensure meetings are effective, focused, and result in clear action items.
• Documentation & Knowledge Management: Own the "single source of truth" for projects. Document meeting notes, key decisions, and lessons learned, ensuring they are accessible to all stakeholders.
• Cross-Functional Communication: Serve as the bridge between diverse disciplines to ensure seamless handoffs between scientific, computational, and business units.
• Process Improvement: Design and implement pragmatic workflows that improve operational efficiency without creating unnecessary bureaucracy.

Who You Are

Minimum Qualifications:

• Education: BS or MS in life sciences, computational biology, business, or a related field.
• Experience: 
• 5+ years of project management experience within biotechnology, computational biology, AI/ML, or pharmaceuticals. 
• Experience managing large-scale data generation (omics, imaging) and machine learning model development is highly preferred. 
• You started your career 'at the bench' (wet lab or computational) and made a deliberate pivot into professional Project Management.
• PMP, PRINCE2, or Agile certifications are a plus, but real-world experience managing complex R&D portfolios is prioritized.
• Deep Project Management Toolbox: You are an expert in a range of project management methodologies (Agile, Waterfall, Kanban, Hybrid) and know exactly when to deploy which tool. You don't force "process for process's sake"; you pragmatically select the right framework to fit the ambiguity of early-stage discovery.
• Strategic & Tactical: You function at dual altitudes - comfortable understanding the broade