Our team is committed to interdisciplinary exchange, continuous learning, and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

About the Role

Job Title: Member of Technical Staff, ML for Biology
Employment Type: Full Time

Responsibilities

• Evaluate the capabilities of our proprietary generative AI models:

  • Design evaluation strategies and benchmarks to continuously evaluate the performance progress of our models.
  • Lead deep-dives on select biological and therapeutic applications to identify opportunities and risks.
  • Compare our generative models against external technologies.
  • Collaborate closely with machine learners, protein designers, and biologists to ensure the technical and biological relevance of our model evaluations.
  • Incorporate and automate relevant evaluation strategies into our model training workflows.

• Use your insights to help improve our models:

  • Leverage analytical results to guide model performance improvements.
  • Collaborate in a joint codebase with other research scientists, engineers, and protein designers, maintaining the highest code standards.
  • Implement and test ideas for model improvements, including finetuning on our own wet lab data and new architectural ideas or model features.

• Improve the way we apply our models:

  • Use evaluation metrics to automatically optimize the way we apply our models, e.g., by identifying optimal sampling techniques and hyperparameters.

• Self-development:

  • Stay on top of the latest developments in ML.
  • Gain a strong working understanding of protein and cell biology.
  • Participate in knowledge sharing, e.g., organize and present at our internal reading group.
  • Attend and present at conferences when relevant.

Who You Are

• You are a scientific programmer with notable contributions to widely used open-source libraries, significant product launches, or high-impact publications.
• You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, synthetic biology, or a related field.
• You are an experienced molecular data analyst using techniques from statistics, molecular dynamics, and molecular visualization.
• You are a skillful developer who writes robust, tested, and maintainable software.
• You have a proven track record of delivering successful commercial and/or academic research projects.
• You are mission-driven and curious, passionate about making a positive impact on the world.
• You thrive in a dynamic environment and work well in a fast-paced setting.

What Sets You Apart

• Experience in protein design and bioinformatics, with a background in ML-driven projects in biology or large-scale bioinformatics analysis.
• An academic background in physics, biology, chemistry, or related fields.
• Experience in scaling a young biotech and helping the company grow.

Benefits

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender-neutral parental leave)
• Hybrid working
• Travel opportunities and more

We welcome applicants from all backgrounds and are committed to building a team that represents a variety of backgrounds, perspectives, and skills.