Fermentation Scientist

Astanor Ventures; København; On-site; DKK 700,000 - 950,000; Full time

Job summary

Reshape seeks a senior fermentation scientist to lead end-to-end bioprocess development in our Copenhagen lab. You’ll design studies, run multi-scale fermentations, and own primary data across media and organisms.

You’ll work with hardware, software and data science teams to convert biology into scalable production processes, building foundational datasets for predictive models and partnerships.

Qualifications

• Deep hands-on knowledge of fermentation and bioprocess development.
• Experience scaling fermentation across bench to manufacturing.

Responsibilities

• Coordinate fermentation runs across scales (96-well to 15 L) and analyze data.
• Own primary data collection and dataset development for models and decisions.
• Design studies and build tools for lab workflows in a fast-moving startup.

Skills

Fermentation expertise

Bioprocess scaling

Data analysis

Bioreactor control

DoE / experimental design

Python / R

Education

PhD in Biochemical Engineering

Tools

Python

R

JMP

Job description

Job Description

Biology is the most powerful technology on the planet. It can feed the world, replace petrochemicals, and grow materials we currently mine or refine. The problem is that turning a promising organism into a working production process still takes 5+ years and millions of dollars, and half the time it fails anyway, not because the biology was wrong, but because making biology viable as a product at commercial scale with current tools is a monumental task.

Reshape builds the operating system for biotech R&D: hardware, software and data science products that capture, structure and analyze data to enable R&D and QC workflows to be much more effective. Hyperscale is our newest and most ambitious bet inside that mission - a full biological engineering suite that takes a product from 96-well plate to full production scale 10x faster and cheaper compared to traditional bioprocess development.

We're building this from the ground up, in-house, in our Copenhagen lab: our own bioreactor fleet across scales, our own data capture layer, and partnering with impressive companies for real strains and processes to prove the whole thing works.

Job requirements

You'll be the person with the deepest hands-on knowledge on the ins and out of fermentation and process development. You’ll be a key subject matter expert in the team and contributor, both in the science and engineering of bioprocess and scale-up, but also hands‑on in actually designing studies, running data in the lab across a set of bioreactors or working with partners to characterize strains, vessels and processes.

This isn't a role where someone hands you a fixed SOP. You're one of the first scientists on a program with no existing playbook, process or platform, working directly with our team across science, hardware, software and data science to decide what to run and why, how to run it, and what to measure. You'll coordinate fermentation runs end to end, own primary data collection and analysis, and build foundational datasets - across organisms, media, and scales - that our predictive models and our pitch to strategic partners both depend on.

At a glance

• Run the fermentations: Coordinate and execute runs across scales — from 96-well through bioreactors ranging from 40ml to 15 liters internally to study key phenomena in media optimization and process engineering
• Own the data: Primary data collection and analysis on every run — titer, yield, productivity, and the critical process parameters (temperature, agitation, pH, DO, kLa, shear) that build the foundation of our understanding
• Drive the science: Use your combination of subject matter expertise in fermentation and first principles thinking to drive scientific reasoning and study designs
• Cross-functional core: Partner daily with the broader science team and our hardware/software teams to close the loop between strain, process, and data capture.
• Partnerships: Help contribute to partnership projects and work with large-scale fermentor data and vessel characterization.

Job responsibilities

Someone who has truly felt the gap between benchtop and pilot manufacturing firsthand and who has well formed opinions about why processes break when they scale. You’re a fermentation generalist across the funnel rather than a narrow specialist in one unit operation. Ideally, you’ve been part of upscaling several different strains and processes successfully in previous roles.

You’re comfortable with ambiguity and building tools as you go. You default to data and root‑cause reasoning/first principles thinking over “that’s how it’s always been done.”. You want ownership and urgency and to help build something amazing with a super talented group of people, attacking bioengineering and building tools with a fresh set of eyes.

What success could look like

• First two months: Understand the reactor and data stack, reproduce key baseline processes, and establish a consistent run, sampling, and data‑review workflow.
• Within four months: Deliver repeatable datasets across multiple organisms or process conditions and identify the most important scale‑dependent failure modes.
• Within nine months: Demonstrate a scale‑down or transfer methodology against pilot or production data and materially influence the Hyperscale product roadmap.

What you bring

• Hands‑on experience running fermentations/bioprocesses across more than one scale (bench through pilot & manufacturing).
• Excellent knowledge of critical process parameters and how they change with vessel geometry and fermentation type
• A strong grasp of microbial physiology and the engineering phenomena that cause processes to behave differently as scale changes.
• Confidence working with bioreactor control, process sensors, off‑gas data, sampling strategies, and primary fermentation analytics.
• The ability to explain complex experimental results and turn them into clear decisions, recommendations, and documentation.
• Comfortable with primary data analysis; you don't need to be a data scientist, but you should be data‑literate and great at interpreting data, even from non‑conventional setups and sources
• A builder's mindset — happy retrofitting equipment, writing your own protocols, and working without a mature toolchain in an early‑stage lab.
• Self‑driven and collaborative; comfortable in a fast‑moving startup with no inherited org chart for this program.

Useful Additional Experience

• Scale‑down models or production‑vessel characterization.
• DoE, multivariate analysis, mechanistic modelling, Python, R, JMP, or comparable tools.
• Automated or parallel bioreactor systems, PAT, or soft sensors.
• Tech transfer or collaboration with pilot plants, manufacturing sites, or CDMOs.
• Experience across multiple microbial hosts and fermentation modes.

Job benefits

At Reshape, we’ve built the full stack - hardware, software and data science capabilities, applied aggressively to bioengineering problems. We manufacture in‑house and service more than a hundred customers globally from our office in Copenhagen, and we’re investing aggressively to keep expanding our platform capabilities and technology stack. This is the chance to join that build‑out and become part of a highly ambitious and skilled team with an optimism about what is possible in biotechnology. You will be given responsibility, freedom and resources to achieve goals within the team and have a big influence on what gets built, working from our own 500m2 lab in the heart of Østerbro.