Research Scientist Machine Learning Lausanne
Research Scientist Machine Learning Lausanne
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Job Description
Research Scientist Machine Learning Lausanne
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational and AIfirst approach.
We are on a mission to accelerate the speed increase the efficacy and lower the cost of drug discovery. Youll be working at the cutting edge of the new era of digital biology to deliver a transformative social impact for the benefit of millions of people.
Come and be part of aninterdisciplinaryteam driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals while being a part of an inspiring collaborative and entrepreneurial culture.
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 fastpaced 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 organisations 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 worldleading 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 handson 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 realworld 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 realworld applied RL.
Culture and values
We are guided by our shared values. Its 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 futuremaking science every single day.
Brave
Brave at Iso is about fearlessness but its also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined at Iso is the way we pursue our goal. Its a confidence in our hypothesis as well as the urgency and agility needed to deliver on it. Because disease wont wait so neither should we.
Together
Together at Iso is about connection collaboration across fields and catalytic relationships. Its knowing that transformation is a group project and remembering that what were 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. Were 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
Its 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 youre in). If you have additional needs that would prevent you from following this hybrid approach wed be happy to talk through these if youre selected for an initial screening call.
Please note that when you submit an application your data will be processed in line with our .
Employment Type
Full Time
