Computational Protein Design Scientist | Protein Design | Synthetic Biology | Py

Computational Protein Design Scientist | Protein Design | Synthetic Biology | Python | Hybrid, San Francisco

Computational Protein Design Scientist | Protein Design | Synthetic Biology | Python | Hybrid, San Francisco

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Founder @ Enigma | Creator of Vision to Venture Podcast & The Neural Network Community

Computational Protein Design Scientist | Protein Design | Synthetic Biology | Python | Hybrid, San Francisco

We are seeking a Computational Protein Design Scientist to join a team operating at the intersection of generative AI and synthetic biology. You will play a key role in designing and engineering proteins for specific functions, such as DNA editing. This is an opportunity to help shape and grow an organisation that applies cutting-edge artificial intelligence to longstanding scientific challenges. Leveraging your computational expertise and biochemical understanding of proteins, you will generate insights to improve protein functionality and work across foundational machine learning and experimental platforms to integrate AI generations with lab validation data seamlessly.

About Us

We are an early-stage, venture-backed startup pioneering advancements at the intersection of AI and life sciences. By developing generative AI models for computational control over biological processes, we aim to make biology programmable, driving innovation in health and sustainability. With teams based in multiple locations, including London and San Francisco, we are passionate about solving complex challenges and maximising global impact. Our team is led by a founder with expertise in breakthrough protein design technologies and AI applications.

We are committed to fostering a collaborative environment where curiosity thrives. Join us to shape transformative technologies and a dynamic, innovative company culture.

About You

• Expert in Computational Protein Design : You have a proven ability to use computational tools and biochemical or structural biology knowledge to design proteins for functional requirements and synthetic biology applications.
• Strong Data Scientist : You have experience leading data-driven projects to uncover biological insights.
• Accomplished Scientist : You hold a PhD (or equivalent experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, or a related field, with research experience in protein biochemistry and computational methods.
• Collaborative Partner : You have worked closely with experimental teams to achieve protein design objectives.
• Project Owner : You have a track record of delivering impactful research or commercial projects, evidenced by publications, patents, or other significant contributions.
• Connector : You thrive on bringing people together and are skilled at communicating complex scientific concepts to diverse audiences.
• Mission-Driven Innovator : You are motivated by solving real-world problems and achieving meaningful impact.
• Adaptable Problem Solver : You excel in fast-paced, dynamic environments and are skilled at optimising processes to improve efficiency and scalability.

What Sets You Apart (Preferred but not required) :

• Experience applying generative AI or machine learning in synthetic biology.
• Familiarity with engineering gene-editing tools (e.g., nucleases, integrases).
• Expertise in homology-based bioinformatics and large database analysis.
• Previous experience scaling a biotech startup.

Key Responsibilities

Protein Design with Generative AI

• Generate and optimise designs with proprietary AI models for experimental validation.
• Collaborate with lab teams to refine processes and strategies.
• Use experimental results to enhance model performance and improve success rates.
• Partner with machine learning teams to fine-tune and optimise AI models.

Collaboration and Communication

• Bridge the gap between AI development and experimental validation teams.
• Foster innovation and alignment across teams.

Tool and Workflow Enhancement

• Provide feedback on AI models and software tools.
• Improve data management systems and workflows.

Scientific Excellence and Growth

• Conduct publication-grade research and stay updated on synthetic biology developments.
• Share knowledge through internal and external presentations.
• Attend and contribute to relevant conferences.

What We Offer

We provide a competitive compensation and benefits package, including health insurance, pension/401(k) contributions, generous leave policies, travel opportunities, and more. This role offers a stimulating work environment and the chance to shape the future of synthetic biology using cutting-edge generative AI.

We welcome applicants from all backgrounds and are committed to building a team that reflects a diverse range of perspectives and skills. The role is based in San Francisco.

Contact Information

Please send your resume as soon as possible to

Computational Protein Design Scientist | Protein Design | Synthetic Biology | Python | Hybrid, San Francisco

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Research, and Engineering

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