Research Scientist, Machine Learning

**Research Scientist, Machine Learning, Lausanne**

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational
- and AI-first approach.

We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll 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 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, 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.

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**
- 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.
- 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 inclusive company**:
We believe that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive a