Research Scientist (Machine Learning), Lausanne

ppIsomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. /ppThe 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. /ppCome 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. /ppThe world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. /ph3About Iso /h3pIsomorphic 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. /ppOur 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. /ppWe 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. /ppEvery 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. /ph3Research Scientist (Machine Learning), Lausanne /h3h3Your impact /h3pAs 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. /ppWorking 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. /ppbDepending on your experience: /b /ppYou 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 /ppYou 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. /ph3What you will do /h3ulliContribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. /liliIdentify and create novel ML techniques and the required data to train. /liliDevelop the architectures and training algorithms of machine learning models. /liliAnalyse and tune experimental results to inform future experimental directions. /liliImplement and scale training and inference engineering frameworks. /liliReport and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines. /liliIterate collaboratively with scientists and domain experts, sharing your own domain experience. /liliSuggest and engage in team collaborations to meet ambitious research goals. /liliProvide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. /liliProvide developmental support to other ML research scientists. /liliCreate, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture. /li /ulh3Skills and qualifications /h3pbEssential /b /pulliPhD or equivalent practical experience in a technical field. /liliA proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. /liliStrong knowledge of linear algebra, calculus and statistics. /liliExperience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. /liliA passion for applying ML research to real world problems. /liliDepending on your experience: project supervision, leadership, or management. /li /ulpbNice to have /b /pulliPhD in machine learning or computer science. /liliRelevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. /liliExperience working in a scientific environment across disciplines (particularly biology, chemistry, physics). /liliExperience working with biological or chemical data and biological or chemistry software. /liliExperience working with real-world datasets. /liliExperience with ML on accelerators. /liliExperience 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. /li /ulh3Culture and values /h3pWe 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. /ppbThoughtful /b Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. /ppbBrave /b Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. /ppbDetermined /b 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. /ppbTogether /b 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. /ph3Creating an extraordinary company /h3pWe 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. /ppWe 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. /ph3Hybrid working /h3pIt’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. /ppPlease note that when you submit an application, your data will be processed in line with our privacy policy. /p /p #J-18808-Ljbffr