At LabGenius, we’re building a platform to discover revolutionary medicines using machine learning. We have exciting growth plans for the next 18 months and are looking for a highly skilled Computational Biologist to join us on our mission!
Your role at LabGenius will be varied, with clear communication being critical to your day-to-day interactions with the team. Being able to integrate your workflow with other teams, along with the ability to share findings in an articulate manner, will help you to achieve success within this position.
You’ll be an expert in bioinformatics, with a strong molecular biology background. You might be transitioning from academia into the start-up world, or you may have come from a large pharmaceutical company. Whatever your previous experience includes, you’ll inject passion and energy into everything you do! You’ll enjoy multi-disciplinary work, and you’ll have an endless hunger for knowledge, learning, and growth; all the qualities LabGenius celebrates!
What you’ll do in this role.
- Design synthetic antibody fragment libraries (50% of your time): a large portion of your time will be spent analysing structures and datasets to design bespoke protein libraries for novel biotherapeutic discovery.
- Integrate workflows with other teams (30% of your time): working across teams and functions (NGS, data science, protein discovery), you will play an essential role in accelerating our ML-driven discovery platform.
- Analyse NGS data (20% of your time): you’ll analyse NGS data generated by our in-house wet lab team, then discuss the results with the wider R&D team to draw conclusions. Your ability to distil complexity into concise communications will be put to use every day!
What we’re looking for from you.
- You’ll have a strong scientific background in molecular biology, synthetic biology, immunology or a related field, preferably to PhD level and preferably with industry experience.
- You’ll have the ability to communicate clearly and effectively with specialists from your own and other fields (e.g. molecular biologists and data scientists).
- You've collaborated with wet lab scientists to plan and execute multiple experiments with diverse sequence repertoires (e.g. T-cell receptor, antibodies, or protein engineering using in vitro-generated libraries). You’re used to giving feedback when there are issues with the data.
- You’ll have worked successfully in cross-functional teams in biotherapeutic discovery.
How you enjoy working.
- You’re comfortable with a rapid pace of work in a dynamic environment.
- You’re happiest working in a collaborative context. If you love flying solo, this isn't the right role for you.
- You’re equally comfortable challenging as you are with being challenged.
- You get excited about sailing into uncharted waters.
- You want work to be meaningful and to be part of a business dedicated to having a positive impact on humanity.
Aside from being part of our brilliant, purpose-driven team, you'll also enjoy:
- Flexible working arrangements: whether you’re a night owl or a morning lark, with core hours of 10am-4pm, you can choose a pattern that works for you.
- Easy access to on-site gym and climbing wall to break a sweat or indulge your inner monkey.
- Monthly 1-on-1 coaching from Sanctus: because we need to look after our minds as well as our bodies.
- Self-service study budget via Sunlight plus books, courses, and events; we encourage personal development in any form. Basically, we heart learning.
- Weekly team lunches from City Pantry: the perfect time to connect over kebabs, natter over nachos, or cackle over curry.
- Access to the Cycle To Work scheme: to make your commute cheaper, healthier, and a whole lot greener!
We believe that diversity makes for innovative, exceptional teams.
We are an equal opportunity employer and do not discriminate based on gender, race, colour, religion or belief, national origin, age, sexual orientation, marital status, disability, or any other protected class.
Please make sure you include a solid cover letter that shows your enthusiasm for computational biology and LabGenius' work!