Responsibilities

• Leverage our proprietary generative AI models to design proteins for experimental validation:

  • Analyze protein design problems based on functional requirements, biochemistry, structural biology, and sequence homology.
  • Generate designs using our proprietary generative AI models and optimize designs for experimental validation.
  • Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy.

• Leverage our proprietary data to improve our models:

  • Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds.
  • Collaborate with machine learning scientists to fine-tune and prompt our models.

• Collaboration and communication:

  • Be an effective interface between machine learning model development and experimental validation.
  • Capture bioengineering learnings and feedback to our machine learning unit, and vice versa.
  • Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units.

• Contribute to our computational tools:

  • Help improve the way we use, serve, and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit.
  • Help improve our data management systems and workflows.

• Scientific excellence and self-development:

  • Work to the highest scientific standards (publication-grade work).
  • Stay on top of relevant developments in synthetic biology.
  • Continue building your understanding of generative AI as well as expanded areas 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 computational protein designer with a proven track record of leveraging novel computational tools and knowledge of biochemistry or structural biology to design proteins for functional requirements in synthetic biology.
• You are a strong data scientist with experience owning data-driven projects to generate biological insights.
• You hold a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field, with research experience in protein biochemistry using computational expertise.
• You have experience collaborating with experimental (i.e., wet lab) teams to achieve protein design objectives.
• You have a proven track record of delivering successful commercial and/or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes.
• You possess excellent communication and presentation skills, able to convey complex scientific concepts to both technical and non-technical audiences.
• You are passionate about making a positive impact on the world and are flexible in adapting to different approaches and methodologies.
• You thrive in a dynamic and ambiguous environment, excelling in a fast-paced setting where goals must be achieved efficiently and urgently.

What Sets You Apart (Preferred but Not Required)

• Experience with generative AI in synthetic biology applications.
• Experience engineering gene editing tools, such as nucleases and integrases.
• Experience with homology-based and structural bioinformatics, able to answer scientific questions using large databases.
• Experience in scaling a young biotech and helping the company grow.

Benefits

We offer strongly competitive compensation and benefits packages, including:

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

We also provide a stimulating work environment and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and are committed to building a team that represents a variety of backgrounds, perspectives, and skills.