Research Associate (Molecular Biology / Protein engineering)

Lab Operations Associate

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Behind the API and the AI agents there is a real, physical lab in Lausanne: millions of francs of instruments, freezers full of reagents, deliveries arriving every day, and customer samples going out. When it runs smoothly, a customer gets their results in days. When it does not — a reagent runs out mid-run, a delivery sits unopened, an instrument goes down and nobody noticed the service contract lapsed — experiments stop, and customers feel it immediately. You are the person who makes sure that does not happen. What is on the shelves, what is on order, what is shipping, and what is about to break — that is yours, and you will run it. This is a hands-on, in-the-lab role, working closely with our Lab Manager and with the scientists whose experiments depend on you getting it right. This is a good role to be early in your career in. We are going from roughly 25 people to roughly 50 in the next year and multiplying the throughput of the lab, and the person who does this job well will not be doing the same job in two years. We are looking for someone who fixes things rather than reporting them. WHAT YOU'LL DO * Keep the lab stocked. Receive deliveries, unpack them, get them into the right freezer at the right temperature, and make sure our inventory system reflects what is actually on the shelf. Flag what is running low before anyone else notices. * Run the day-to-day ordering. Place the orders, chase the ones that are late, and sort out the ones that arrive wrong. * Handle shipping, in and out. Customer samples, reagents, equipment. Cold chain, dry ice, customs paperwork, and the courier relationships that make it all land on time. * Support the science team hands-on. Reconstituting and aliquoting target proteins, buffer prep, plate handling, and tracking materials in our lab software. You will be at the bench for part of your week. * Look after the instruments. Coordinate servicing, calibration, and repairs with vendors, keep the maintenance schedule honest, and get an engineer on site fast when something breaks. * Keep the lab safe and organized. Chemical inventory, waste disposal, safety compliance, and the general war against entropy in a shared space. * Keep the office and the team running. Supplies, workspace, new-starter setups, and the occasional team event. * Help build the new lab. We are expanding into new space. You will be involved in setting it up. WHAT WE'RE LOOKING FOR * Some hands-on lab experience. A degree, an apprenticeship, a technician role, or a couple of years in a research or biotech lab. We care much more about whether you are competent and reliable in a lab than about how many years you have logged. * Genuinely organized. You are tracking dozens of small things at once — what is on order, what expires next month, which instrument is due for service — and none of them drop. * You notice things before they break. The best people in this role are the ones who spot that we are three weeks from running out of a reagent, and quietly fix it, rather than the ones who report the stockout. * You are comfortable getting your hands dirty. This is not an administrative job. You will be unpacking boxes, moving dry ice, and reorganizing a freezer that has become someone's junk drawer. * You are tech-savvy, and you want to be more so. Our lab runs on our own software and we use AI tooling across the company, including for operational work. We would love someone who ends up automating the boring parts of their own job rather than doing them forever, and we will teach you how. Curiosity here counts for more than existing skill. * You want to be in a startup. Priorities move, nothing is fully documented yet, and you will regularly be the first person to do something. If you need a defined process to work inside, this will be uncomfortable. * You care about the mission. We are trying to make biology fast and cheap enough that AI can actually do it. * Based in Lausanne, or willing to relocate. This role is on-site, daily, by definition. * French and English both useful — many of our suppliers and couriers operate in French. SCOPE Nobody here has clean edges around their job. You will be in the lab, in the office, on the phone with a courier, and every so often doing something that is nobody's job simply because it needs doing. The centre of gravity is the lab. Office and team logistics come with it, but the lab is the point. You will be around the science constantly without designing the experiments, and you will have real influence over which vendors we use — you are the one who sees what works and what keeps arriving late — without running the negotiations yourself. WHY THIS ROLE IS INTERESTING Most lab operations jobs are in labs where nothing much changes. This one is inside an automated lab that is being rebuilt and scaled up while it runs, at a company used by the best pharma companies and the best AI labs in the world. You will learn how a real high-throughput protein pipeline works from the inside, in a company small enough that you will see the effect of your work the same week you do it. And if you turn out to be excellent, there is a lot of room above you: this team is going to be much bigger in two years than it is today. Application deadline We are reviewing applicants on a rolling basis.

Research Scientist (Machine Learning), Lausanne

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   RESEARCH SCIENTIST (MACHINE LEARNING), LAUSANNE YOUR IMPACT  As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.  Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Depending on your experience: You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it. WHAT YOU WILL DO * Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. * Identify and create novel ML techniques and the required data to train. * Develop the architectures and training algorithms of machine learning models. * Analyse and tune experimental results to inform future experimental directions. * Implement and scale training and inference engineering frameworks. * Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines. * Iterate collaboratively with scientists and domain experts, sharing your own domain experience. * Suggest and engage in team collaborations to meet ambitious research goals. Depending on your experience: * Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. * Provide developmental support to other ML research scientists. * Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.Cultivate a diverse and inclusive research culture. SKILLS AND QUALIFICATIONS  Essential * PhD or equivalent practical experience in a technical field. * A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. * Strong knowledge of linear algebra, calculus and statistics. * Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. * A passion for applying ML research to real world problems. * Depending on your experience: project supervision, leadership, or management. Nice to have * PhD in machine learning or computer science. * Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. * Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics). * Experience working with biological or chemical data and biological or chemistry software. * Experience working with real-world datasets. * Experience with ML on accelerators. * Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL. 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.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined 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. Together Together 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. 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 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. 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

Computer Vision Engineer

Harmattan AI

ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE We are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects. RESPONSIBILITIES * Research & Data Preparation: * Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets. * Perform statistical analyses and develop visualization tools to ensure data quality. * Algorithm Development & Optimization: * Build and refine training pipelines and metrics to enhance model performance. * Develop and optimize Computer Vision algorithms for multiple robotics/aerospace projects. * Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews. * Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions. * Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders. CANDIDATE REQUIREMENTS * Educational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus) * Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus. * Passion for ML: Enthusiasm for Machine Learning and Computer Vision. * Strong Communication & Teamwork: Ability to collaborate effectively with diverse teams * Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.