Data Scientist (Computational Biology), Lausanne
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.
About Iso
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. 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.
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.
* 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.
Essential Skills and qualifications
* Experience in computational biology, with PhD or Masters and research 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.
* Ability to effectively communicate scientific concepts to a variety of audiences.
* Programming skills in Python and extensive experience using Python for data analytics.
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.
* Hands-on experience in applying ML (especially deep learning) models in the field of computational biology.
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.
#J-18808-Ljbffr