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Protein Jobs (NOW HIRING)

Latent Labs

Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

Computational Protein Designer The opportunity We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working ...

AA2IT

Protein Scientist II

South San Francisco, CA · On-site

Scientist, Protein Characterization The Protein Sciences Department within the Discovery Biologics organization in South San Francisco is seeking an experienced Scientist to join the Protein ...

New

Vrtx

Protein Sciences Research Scientist

Seattle, WA

$104K - $156K/yr

We are seeking a motivated Scientist to join our Protein Science team. In this role, you will purify and characterize therapeutic proteins and research reagents at milligram- to gram-scale in support ...

Kinder's

Director, Sourcing (Protein)

Walnut Creek, CA · On-site

The Director, Sourcing (Protein) will own and scale our sourcing capabilities across protein and core ingredients-building the supplier network, navigating market volatility, and enabling rapid ...

Kinder's

Director, Sourcing (Protein)

Walnut Creek, CA · On-site

The Director, Sourcing (Protein) will own and scale our sourcing capabilities across protein and core ingredients--building the supplier network, navigating market volatility, and enabling rapid ...

Julius Silvert Inc

Strategic COP Protein Buyer

Manhattan, NY · On-site

$88K - $94K/yr

Julius-Silvert, Inc. is seeking a dynamic COP Buyer to support our Protein division. The role involves procurement of various protein cuts and categories, vendor selection, and maintaining high ...

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Protein information

What are the key skills and qualifications needed to thrive as a Protein Scientist, and why are they important?

To thrive as a Protein Scientist, you need a solid background in biochemistry, molecular biology, and protein engineering, usually supported by a relevant degree such as a PhD or MSc. Familiarity with laboratory techniques like chromatography, mass spectrometry, and bioinformatics tools is typically required. Strong analytical thinking, attention to detail, and effective collaboration are important soft skills in this role. These competencies enable accurate protein analysis, innovative research, and successful teamwork in advancing scientific discoveries.

What are some common challenges faced by protein scientists in research and development roles?

Protein scientists often encounter challenges such as optimizing protein expression and purification, troubleshooting unexpected results in structural or functional assays, and managing the stability and solubility of proteins. Additionally, they must stay updated with rapidly advancing techniques and collaborate closely with interdisciplinary teams, including bioinformaticians, chemists, and other biologists. Effective communication and adaptability are essential, as priorities can shift quickly based on project needs or new scientific discoveries.

What are protein jobs?

Protein jobs refer to careers that involve the study, manipulation, or production of proteins, which are essential molecules in living organisms. These jobs can be found in fields like biotechnology, pharmaceuticals, food science, and academic research. Professionals in protein jobs may work on protein engineering, purification, analysis, and applications in drug development or food production. Common roles include protein biochemist, protein scientist, and protein production technician. These positions often require a background in biology, chemistry, or a related scientific field.

What is the difference between Protein vs Data Analyst?

AspectProteinData Analyst
Required CredentialsBachelor's degree in biology, biochemistry, or related fields; certifications in laboratory techniquesBachelor's degree in statistics, computer science, or related fields; certifications in data analysis tools
Work EnvironmentLaboratories, research facilities, biotech companiesOffices, corporate settings, research firms
Industry UsagePharmaceuticals, biotech, healthcareFinance, marketing, technology, healthcare
Common Search/ComparisonProteinData Analyst

Protein professionals typically work in laboratory and research settings focusing on biological samples, while Data Analysts analyze data sets to inform business decisions. Both roles require analytical skills, but Protein roles emphasize biological and laboratory expertise, whereas Data Analysts focus on data management and statistical analysis.

More about Protein jobs
What cities are hiring for Protein jobs? Cities with the most Protein job openings:
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What states have the most Protein jobs? States with the most job openings for Protein jobs include:
What job categories do people searching Protein jobs look for? The top searched job categories for Protein jobs are:
Protein jobs near you

Computational Protein Designer

Latent Labs

San Francisco, CA • On-site

$24.25 - $29.50/hr

Full-time

Medical, Retirement

Posted 11 days ago

Job description

Computational Protein Designer
The opportunity
We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, 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 we are
At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.
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.
Who you are
  • You are a computational protein designer. You have a proven track record of running protein design campaigns end-to-end, 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 generative modelling enthusiast You have AI generative modeling experience, including model training and large scale inference.
  • 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 are a protein biochemist. You have extensive wet lab biology experience, and can independently execute end-to-end design campaigns, including experimental validation, 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 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
  • Develop and execute biochemical assays for wet-lab validation:
    • Develop and carry out experimental validation strategies for computationally designed proteins, including but not limited to: protein expression and purification, biophysical characterisation, and functional assays.
  • 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
Apply
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 offer 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 we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Apply