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Generare in Paris is seeking an Operations & Capacity Project Manager to lead the laboratory expansion, build capacity models, and deliver on-site facilities on time and within budget. You will work with data and modelling teams, bridging bench work and executive decisions, shaping the production capacity and cost frameworks for the platform expansion.
This role blends field work on the lab floor with analytical modelling, requiring a scientific background and several years of project delivery
Generare captures the genetic instructions microbes use to produce molecules, expresses them in the laboratory, and tests their biological activity. Doing this once is science. Doing it at scale, reliably, month after month, is what turns it into a platform.
We have raised 25 million to date and built a collection of 14,000 soil samples and 50,000 microbial strains from France. Our discovery engine has produced more than 500 novel scaffolds so far. Within eighteen months, we intend to be producing more than 1,000 a year.
That number is the reason this role exists. Reaching it means new laboratories, more equipment, and a clear view of where our capacity actually goes. Our laboratories and our production capacity will roughly double over the next two years.
We are hiring an Operations & Capacity Project Manager to lead that expansion and to build the instruments it depends on. You will run the laboratory extension project. You will also build the tools and models that tell us what we can produce, at what cost, and where our capacity should go next.
You will join the Operations department, within the Intelligence & Scale-up team, working closely with our production teams, our lab management and our department heads.
The role has two faces. One is project work: taking the needs expressed by the scientific teams and turning them into laboratories that open on time and within budget. The other is analytical: contributing to the process database, the capacity tracking and the projection models that make our production decisions something other than an informed guess.
You will work alongside our data and modelling team, who build and run the platforms this depends on: the process database, the capacity models and the indicator tooling. Your role is to make them say something about the laboratory, and to act on what they say.
You will work close enough to the laboratory floor to see where the constraints sit, and you will build the models that make them visible to everyone else.
This is a role for someone who wants to build the tools they use, not only to fill them in.
The laboratories open when they were meant to, and the teams can work in them on day one.
Capacity is steered rather than observed. The throughput targets we set are the ones we reach, and when one starts to slip, we see it early enough to act on it rather than explain it afterwards.
Beyond that, we should be able to answer three questions : what our real capacity is today, what it costs us to run, and what we can credibly commit to producing next year.
You have already taken a project from framing through to delivery, with a budget, a deadline and people who did not report to you. You are now looking for one where the stakes are visible: a site decision presented to the executive committee, a move run against a budget, a cost model the company relies on.
You are equally comfortable spending part of your week on the laboratory floor and the other part in a model. This is not a role for someone who has left the bench behind.
You bring:
Typical backgrounds include an engineer in biological engineering or biotechnology who has since spent a few years in production, industrialisation or laboratory operations; three to six years in operations or industrial performance consulting on a scientific foundation; or a quality or production role in a CDMO or pharmaceutical group, looking for more autonomy in a smaller organisation.
Comfort prototyping your own tools, whether through scripts, no-code platforms or vibe-coding, would be useful. Experience with laboratory commissioning, capacity planning or cost of goods modelling would be too. We do not expect you to arrive with all of them.
You will join at the point where the collection and the platform exist, and the industrial capacity behind them is still being built. The laboratories, and the operational decisions the data supports, are largely yours to shape
You will see your work move from a capacity constraint identified at the bench to a decision taken at the executive committee. Along the way you will develop experience across project management, industrial operations and cost modelling, with scope for broader responsibility as the activity grows.
Based at our laboratory in Paris. The role requires a strong on-site presence (3-4 days/week).