August 19, 2021
Primarily remote, but significant time will be spent in London UK
Competitive, roles are equivalent to University grades 7-8
Full time (part-time may be possible for the right candidate)
Promatix (https://www.pro-matix.com/) is a drug development company seeking to develop new oncology therapeutics. The company's overall goal is to develop new oncology drugs that significantly improve overall survival for a group of patients with a high unmet need. The company has the world's most comprehensive membrane protein database for identifying druggable oncology targets (TxPro) and will combine this with leading computational approaches to create a world-leading target discovery and validation platform. Promatix will use this platform to identify and triage in-licensing assets and initiate internal target discovery. The company is currently being incubated and funded by ALSA Ventures, a London based life sciences venture capital firm. (https://www.alsaventures.com/).
As a component of this target discovery and validation platform, the company collaborates with the Computational Cancer Biology group at the Cancer Institute at UCL led by Professor Jasmin Fisher (the Fisher laboratory, www.UCL.ac.UK/cancer/fisher-lab).
We are seeking two highly motivated and qualified Research Fellows to join Promatix's computational biology group and they will be seconded into the Fisher lab for an initial period. The group investigates the evolutionary dynamics of cancer (initiation, progression, response to therapy and emergence of resistance) using computational models.
This group is dedicated to understanding how cancers evolve by identifying the molecular mechanisms under pinning cell fate decision programs during normal development and disease. Our mission is to develop better new therapeutics to improve the outcome for cancer patients.
The post holders will be expected to make significant contributions to the development of computational models for the cancers being studied by Promatix/the Fisher lab (e.g., breast & lung cancer). This will involve data discovery, analysis, computational modelling, and experimental validation in partnership with our experimental collaborators.
Applicants will have a PhD degree in computational biology, computer science, engineering, physics, mathematics or bioinformatics, or a degree in biological science with substantial experience in computational work. Experience in formal verification methods (in particular, model checking, temporal logic, static analysis, SAT solving and program synthesis), logical modelling and statistical analysis are essential. Candidates should have excellent programming skills in Python,MATLAB, and R. Experience in machine learning and proteomics or other omics is desirable.
Applicants must have experience in presenting complex scientific concepts and content both in writing and verbally. They will show a strong commitment to the Promatix mission and embody its values through excellent collaborative interpersonal skills with an ability to work co-operatively in a multidisciplinary setting.
Excellent communication skills and the ability to work well in a multidisciplinary team are essential. The post-holder will be expected to have the ability to assist other members of the team, supervise more junior team members, collaborate with internal and external research groups, as well as contributing to the organisation and smooth operation of the Promatix computational biology group. Problem-solving, proactivity, flexibility, adaptability with a willingness to work outside of core competence are essential.
For further information, and to register your interest, please email your application, together with your CV.