Project Manager - Life Sciences Department

Role Overview

Global Deep Knowledge Group is seeking versatile Project Managers to transition practical longevity and HealthTech initiatives from a strategic brief or partially developed concept into completed, usable outputs.

About the Role

We are looking for independent operators who learn quickly, organize complex work, and take responsibility for delivery. The focus is cross-functional project delivery, not laboratory research or ownership of a single product roadmap. A conventional medical, biotechnology, or Life Sciences qualification is not required.

The portfolio can involve intelligence platforms, commercial HealthTech products, diagnostics-related initiatives, Longevity Club/Card, modular longevity, and Dubai Longevity Constellation work. Each manager will own a defined set of assignments and coordinate the relevant specialists, rather than attempt to manage the entire portfolio at once.

Key Responsibilities

• Translate management objectives, research inputs, and existing project materials into an actionable plan with outputs, owners, milestones, dependencies, and acceptance criteria.
• Establish what already exists, what is missing, and the shortest credible route to the next useful deliverable; avoid recreating work or adding process without a practical benefit.
• Coordinate Life Sciences, Product, Data Science, IT, Business Development, MarTech, and external contributors around the agreed scope and delivery sequence.
• Manage implementation work such as supplier research, pilot preparation, partner onboarding, documentation, product-material development, and launch readiness, according to the assigned project.
• Maintain concise action plans, decision logs, version-controlled materials, and progress reporting that show completed outputs, unresolved issues, and the next decision required.
• Identify delays and conflicting dependencies early, propose a workable resolution, and follow through rather than simply forwarding the issue to another department.
• Prepare clear briefs and commercial or operational comparisons; support cost estimates, resource planning, and budget tracking within the agreed mandate.
• Work with product managers and technical or scientific leads to clarify requirements and verify completion; distinguish project coordination from ownership of specialist decisions.
• Use AI for research, synthesis, planning, documentation, and routine automation, checking material claims, and applying your own judgment to priorities and conclusions.
• Close the loop on deliverables: obtain the appropriate review, resolve material gaps, and ensure the next team can actually use the result.