×
Register Here to Apply for Jobs or Post Jobs. X

Computational Protein Design

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Latent Labs
Full Time position
Listed on 2025-12-01
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below

Join to apply for the Computational Protein Design role at Latent Labs

We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. You will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges.

Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data.

Who You Are
  • You are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and knowledge of biochemistry or structural biology to design proteins to functional requirements and applications in synthetic biology.
  • You are a data scientist. You are a strong data scientist and you have experience owning data-driven projects to generate biological insights.
  • You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein biochemistry using computational expertise.
  • You collaborate with experimentalists. You have experience collaborating with experimental (i.e. wet lab) teams to achieve protein design objectives.
  • You are an owner. You have a proven track record of delivering successful commercial and/or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
  • You are a connector. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.
  • You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
  • You thrive in a dynamic and ambiguous environment. You excel in a fast‑paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.
What Sets You Apart (preferred But Not Required)
  • You have experience with generative AI. You have experience leveraging generative AI (or other machine learning models) in synthetic biology applications.
  • You have experience engineering gene editing tools, such as nucleases and integrases.
  • You have experience with homology-based and structural bioinformatics, and are able to answer scientific questions using very large databases.
  • You have helped scale a young biotech before. You have worked in startups and helped the company grow.
Your 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary