Biological Modelling Expert
We are seeking a seasoned professional to play a pivotal role in shaping our mission towards rational design and engineering for biology. As a Computational Biology Lead, you will work collaboratively with other cross-functional Leads to develop our core platform that underpins our technology and business strategy.
This is an exciting opportunity to contribute to a software platform that will transform the way we produce everything from food to fuel, facilitating our transition towards a sustainable future.
You will join a growing team of software engineers, ML researchers, and computational biologists who share a passion for innovation and collaboration.
* Plan, lead, and deliver original research in modelling sub-cellular processes with minimal guidance.
* Analyse omics datasets, including genomics, transcriptomics, proteomics, metabolomics, or other data types.
* Shape research directions aligned with the Computational Biology strategy, designing impactful projects that drive our goals forward.
* Serve as a subject matter and technical expert within a multi-disciplinary team, sharing your knowledge and expertise openly with colleagues.
* Contribute to the development of our Cell Engineering Platform, working with engineers to architect, build, and operate the platform's components in a cross-disciplinary working environment.
* Provide documentation, guidance, and communication on computational biology to the wider organisation.
* Represent us in external engagements, including collaborations with partners.
About You
To be successful in this role, you will need:
* Proven expertise in computational biology, mathematical biology, or a related field with a PhD and post-doc or industry experience.
* Extensive programming or scientific computing experience using mainstream programming languages - our stack includes scientific Python on top of a Postgres database running on Kubernetes, with some Julia components.
* Familiarity with biological data including experimental design, data generation and quality control, and statistical analysis.
* Broad background in computational biology and modelling.
* Experience leading small teams and/or supervising students.
* Ability to effectively communicate complex scientific concepts to a variety of audiences.
We welcome applications from individuals with a range of backgrounds and experiences. If you require accommodations, please let us know.
We embrace flexible work arrangements, but acknowledge that collaboration is central to our culture of knowledge sharing and relationship building. We require some of your working hours to overlap with our working day.
Please submit your application, limited to 2-3 pages CV and a single-page cover letter.