Your main responsibilities will be.
- Establish workflows to design proteins de-novo based on the latest available deep learning tools (RFdiffusion, BoltzGen, BindCraft), including secure cloud environment setup (e.g. Docker, Terraform).
- Adapt and extend open-source generative tools with a modular in silico filter pipeline for multi-dimensional candidate pre-screening, to fulfil drug target specifications. Architect the design-filter loop to optimize compute time.
- Design and optimize binders, enzymes and full multi-domain proteins for therapeutic targets according to research target profile specifications, closely collaborate with protein production and functional characterization teams to iterate towards final sequence.
- Take appropriate make-or-buy decisions for the generative protein design workflow
- Maintain fully documented setup. Enable non-computational scientists to run standard design campaigns; stay current with the fast-moving protein design literature and evaluate new tools for integration
- Engage with other managers at Bio-LogX to interpret results and define next steps, regularly participate in reviewing and advancing the overall program strategy.
- Motivate, coach, mentor, give feedback to, develop team members.
- Documentation of results according to the Bio-LogX R&D Quality Standards, to ensure the quality of results and their documentation are acceptable for sharing with other teams, preparing reports, patenting, etc.
- Drafting of patent claims as appropriate, publication of selected results in scientific journals
