Director of Computational Biology, London or 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 a multi-disciplinary 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 Director of Computational Biology you will build and lead a multi-faceted team of computational scientists to deliver new biological insights via the application of both AI and classical computational methods in the context of drug discovery.
What you will do
- Work with a broad collaborator group to develop an ambitious research roadmap to interrogate a variety of biological phenomena relevant for drug discovery via a comprehensive set of cutting edge computational methods
- Establish a team of outstanding computational biology experts spanning a variety of sub-fields such as genomics, statistical genetics, imaging, proteomics, epidemiology, and systems biology.
- Lead the team to execute on the research roadmap and deliver biological insights in support of the company’s drug discovery efforts.
- Develop a comprehensive experimental and data strategy in support of overall research goals.
- Effectively deploy a variety of published and proprietary machine learning models and statistical analysis methods to achieve research goals.
- Be a key member of the leadership team, harmoniously collaborating with other groups, such as Drug Design, Medical Research, ML Research, Data Engineering, and others in delivery of the overall company mission.
- Enable, coach and mentor your team.
Skills and qualifications
- Demonstrated expertise in genomics, and optionally, transcriptomics, statistical genetics, and other bioinformatics methods.
- Hands-on experience in applying ML (especially deep learning) models in the field of computational biology.
- Detailed understanding of a variety of genomic data analysis methods, from data generation and QC, to variant calling, to a broad array of downstream analyses including GWAS.
- Solid experience with experimental design and statistical analysis.
- Experience 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.
- Familiarity with genomic data processing pipelines and tools.
- Expertise in applying computational biology methods to the process of drug discovery, such as methods used for disease modeling and target discovery, as well as biomarker development.
- Experience leading research teams and developing and driving research roadmaps.
- Experienced in building inclusive teams and creating equitable interview/assessment processes
- Ability to effectively communicate scientific concepts to a variety of audiences.
- PhD, or equivalent experience in Genomics, Molecular Biology, Genetics, Systems Biology, Computer Science, Statistics, Machine Learning, or a related field.
Culture and values
What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:
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.
In this 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 realise 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 and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, 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 be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). As an equal opportunities employer we are committed to building an equal and inclusive team. 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.