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Remote Protein Engineering Scientist Jobs (NOW HIRING)

ENGINEER/SCIENTIST

Dahlgren, VA ยท On-site +1

$69K - $156K/yr

You will conduct engineering analysis that results in the identification and recommendation of ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

ENGINEER/SCIENTIST

Dahlgren, VA ยท On-site +1

$143K - $197K/yr

You will ensure requisite system engineering discipline is applied across the portfolio (SEP, SETR ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

ENGINEER/SCIENTIST

Dahlgren, VA ยท On-site +1

$101K - $156K/yr

You will execute systems engineering, requirements engineering, systems engineering process ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

ENGINEER/SCIENTIST

Dahlgren, VA ยท On-site +1

$46K - $158K/yr

You will support execution of system engineering best practices for requirements definition and ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

ENGINEER/SCIENTIST

Crane, IN ยท On-site +1

$125K - $192K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Professional Engineering Series FOR 1301: General Physical Science FOR 1501: General Mathematics ...

$124K - $190K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Engineering - To be acceptable, the program must: (1) lead to a bachelor's degree in a school of ...

ENGINEER/SCIENTIST

Huntsville, AL ยท On-site +1

$125K - $192K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Professional Engineering Series FOR 1301: General Physical Science FOR 1501: General Mathematics ...

The individual will support advanced remote sensing exploitation functions through detailed ... The position requires working collaboratively with other engineers, scientists, and analysts on ...

We are transforming how the industry approaches protein engineering. Our platform, EvoGen, is both ... You thrive in ambiguity, and you're motivated by applying your work to real-world scientific ...

ENGINEER/SCIENTIST

Dahlgren, VA ยท On-site +1

$101K - $156K/yr

You will apply systems engineering, requirements engineering, systems engineering process ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Partner cross-functionally with chemistry, protein engineering, bioanalytical, and pharmacology ... We are a remote-first company, with occasional travel for in-person team meetings or scientific ...

We are transforming how the industry approaches protein engineering. Our platform, EvoGen, is both ... You thrive in ambiguity, and you're motivated by applying your work to real-world scientific ...

Showing results 21-40

Remote Protein Engineering Scientist information

See salary details

$40.5K

$98.8K

$156.5K

How much do remote protein engineering scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote protein engineering scientist in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a remote protein engineering scientist do?

A Remote Protein Engineering Scientist designs and modifies proteins using computational and experimental methods, often from a home or off-site location. They leverage bioinformatics tools, molecular modeling, and laboratory data to develop proteins with improved or novel functions for applications in biotechnology, medicine, or industry. Collaboration with multidisciplinary teams and effective communication are essential, as much of the work is coordinated virtually. Their work can involve tasks such as enzyme optimization, antibody engineering, or developing therapeutic proteins.

What are the key skills and qualifications needed to thrive as a remote protein engineering scientist, and why are they important?

To thrive as a Remote Protein Engineering Scientist, you need a strong background in molecular biology, protein chemistry, and bioinformatics, typically supported by a PhD or relevant advanced degree. Familiarity with computational modeling tools (such as Rosetta or PyMOL), high-throughput screening systems, and programming languages like Python or R is crucial. Excellent problem-solving abilities, communication skills, and the capability to collaborate virtually with cross-functional teams help set top candidates apart. These skills and qualities are vital for efficiently designing, analyzing, and optimizing proteins while contributing effectively in a remote, research-driven environment.

What are some common challenges faced by remote protein engineering scientists, and how can they be addressed?

Remote Protein Engineering Scientists often encounter challenges related to effective collaboration and communication with multidisciplinary teams, since much of the work involves sharing data and coordinating experiments virtually. Managing complex computational tools and ensuring secure data sharing also require robust digital infrastructure. To address these challenges, it's important to establish clear communication protocols, utilize collaborative platforms for data analysis, and schedule regular virtual meetings to align on project goals. Building strong partnerships with lab-based colleagues and staying updated on the latest remote lab technologies can further enhance productivity and integration within the team.
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What are the most commonly searched types of Protein Engineering Scientist jobs?

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Infographic showing various Remote Protein Engineering Scientist job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Machine Learning Scientist, Reinforcement Learning

Profluent

Emeryville, CA โ€ข On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
  • Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design
  • Collaborate across the machine learning and protein design teams to adapt and improve reinforcement learning techniques from other domains to protein design
  • Architect, implement, and optimize core infrastructure to support the post-training of protein language models
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications
  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences
  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$200,000-$330,000 USD