Data Scientist (Computational Biology), Lausanne bei Isomorphic Labs
Isomorphic Labs · London, Vereinigtes Königreich · Hybrid
- Senior
- Optionales Büro in London
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.
Your impact
This is an exciting opportunity for you to contribute to an ambitious Computational Biology research programme, working in partnership with leading Machine Learning (ML) researchers, Chemists and Biologists. Building on the successful models in place to predict protein structure (AlphaFold-3), there is an unique opportunity for Research Scientists to have a direct impact on drug discovery using innovative Computational Biology and ML approaches. These are newly created roles; driven by a passion for problem solving, you will need to use your previous experience and show initiative in order to fully carve out your contribution.
What you will do
- Make original research contributions to enable machine learning model development, applied to computational biology, that impacts one or more critical problems in drug development.
- Work within cross-functional ML Research, Chemistry, Engineering and Biology Teams, to direct research hypotheses and deliver outstanding research.
- Use your experience to undertake analysis of computational biology datasets, including genetics, genomics, transcriptomics, proteomics, functional perturbation screens, imaging, knowledge graphs, PPI, clinical or other data types.
- Work in partnership with other Research & Development teams to evaluate the utility of research models, and incorporate feedback to ensure research outputs deliver high impact for drug design and development.
- Work with Bioinformatics, Data, and other groups to influence Iso’s datasets and pipelines strategy, to ensure innovative insights from these data are consistently brought to bear within drug development programmes.
- Perform thorough data analysis and data quality assurance checks, with a strong focus on accuracy and reproducibility, inline with industry standard processes.
- Work with other members of the Computational Biology team to deliver a unified team strategy.
- Provide documentation, guidance, and communication on computational biology to the wider organisation.
Skills and qualifications
Essential:
- Experience in computational biology, with PhD or Masters and research experience (i.e. postdoctoral or industry experience)
- Track record of delivery of outstanding research, in academia or industry
- Expertise with detailed data quality control procedures and data visualisation
- Experience with experimental design and statistical analysis
- Demonstrated understanding of computational biology tools and methodologies and experience with the analysis of large -omics datasets
- Experience with data processing pipelines and tools for primary analysis of sequencing data
- Experience supporting biological research through provision of advanced computational biology analysis and a demonstrated understanding of the principles of molecular cell biology and genetics, or related biological disciplines
- Ability to effectively communicate scientific concepts to a variety of audiences
- Programming skills in Python and extensive experience using Python for data analytics
- Demonstrate ongoing career progression / trajectory and a passion for learning
Nice to have:
- Prior experience in the context of therapeutic or diagnostic development programmes
- Familiarity with a variety of assaying techniques, including NGS, cell-based assays, functional genomics, single-cell techniques, and image-based assays with expertise in their respective data analysis approaches
- Experience working with clinical data
- Expertise in applying computational biology methods to the process of drug discovery, such as methods used for disease modelling and target discovery, combination strategies, as well as biomarker development.
- Experience applying computational biology workflows on Google Cloud Platform
- Experience in developing software in Python
- Hands-on experience in applying ML (especially deep learning) models in the field of computational biology.
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.
