Brink Therapeutics is a venture-backed biotech company specializing in the development of cutting-edge gene therapy tools. We focus on site-specific recombinases, highly efficient enzymes that enable precise DNA modifications—such as inserting, removing, or inverting DNA sequences—without causing double-strand breaks. These recombinases offer a safer, more precise alternative to existing technologies like CRISPR-Cas9, giving them the potential to revolutionize Cell and Gene Therapies and finally push them over the brink of mass accessibility.

By joining Brink Therapeutics, you will become one of our first team members, and experience the thrill of helping to build an ambitious new company harnessing advanced Directed Evolution, deep gene-mining techniques and AI to unlock new possibilities for treating & curing cancers, autoimmune diseases, genetic disorders and beyond!

If you are an innovative scientist or engineer excited about working together to solve hard, longstanding problems to improve patients’ lives around the World, we are looking for passionate individuals to join our team and help shape the future of medicine!

Mission Highlights

As a Senior Scientist in Computational Biology, you will be responsible for innovating and developing computational pipelines for addressing a diverse range of challenges, in close collaboration with both the Molecular Biology and AI teams. Your ultimate goals will be to support the wet-lab team in generating lead recombinase candidates of high therapeutic utility while also generating massive recombinase functional datasets to extract learnings from, in collaboration with the AI team.

Responsibilities

- Develop & execute processes for the design of ultra-large, smart enzyme variant libraries
- Develop & execute computational pipelines for analysis of NGS data output from our advanced in vitro recombinase Directed Evolution platform
- Develop & execute NGS-based processes for efficient readout of Directed Evolution assays
- Develop & execute computational pipelines for mining public (meta)genomic datasets for discovery of new gene variants and insights into their properties
- Analyse human -omics datasets for discovery of sites of therapeutic interest
- Communicate project status, requirements, risks and mitigation to stakeholders
- Maintain detailed documentation, present results to stakeholders
- Disclose innovations to internal stakeholders to secure IP protection
- Mentor & coach junior team members

Competencies

You have a broad array of bioinformatics domain expertise and software development skills, and are capable of quickly and self-sufficiently entering into new domains. You are highly organized and enjoy managing complex workloads while clearly documenting and communicating results in an actionable manner to both wet-lab and computational scientists. You are a sharp and collaborative trouble-shooter who doesn’t shy away from the hard problems and takes joy in working towards ambitious goals as a pluridisciplinary team.

Required:
- MSc with 5+ years of experience or PhD with 2+ years of experience in computational biology or related fields, and eagerness to keep learning
- Proven record of innovative and independent problem-solving skills
- Demonstrated expertise in computational biology pipeline design and software development (incl. Python, Github, AWS)
- Project management experience
- Excellent written and oral communication
- English - professional working proficiency
- Motivation to work in a flexible and fast-paced startup

The ideal candidate will also have some of the following:
- Experience working in startup environments
- Expertise in Directed Evolution, gene library synthesis, NGS, genome editing, human genomics, computational enzymology, computational structural biology

Recruitment Process

- An introductory call with the CEO (and cofounder) Jonathan Naccache
- Meet your future manager and CTO (and cofounder) Harry Kemble
- Technical interview
- Value fit interviews with the rest of the team (Engineers & Scientists)