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Remote Protein Engineering Jobs (NOW HIRING)

Arvinas

Early Development Team Leader

New Haven, CT · On-site +1

... engineer proteolysis targeting chimeras, or PROTAC targeted protein degraders, that are designed to ... This role will report to the SVP, Asset Strategy and Team Leadership and can be remote, hybrid, or ...

HAARSLEV

Area Sales Manager

Lenexa, KS · On-site +1

Haarslev is an innovative company that provides powerful processing solutions engineered to benefit ... What We're Looking For - Industry experience in rendering, protein recovery, food, pet food, or ...

Arvinas

DMPK Scientist

New Haven, CT · On-site +1

... engineer proteolysis targeting chimeras, or PROTAC targeted protein degraders, that are designed to ... New Haven, CT or a remote role based within the U.S. Principal Responsibilities Key ...

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All JobsRemote Protein Engineering Jobs

Remote Protein Engineering information

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$32.5K

$63K

$95.5K

How much do remote protein engineering jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote protein engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Protein Engineer, you need a strong background in molecular biology, biochemistry, and protein design, typically with an advanced degree in a related field. Familiarity with computational modeling tools (such as Rosetta, PyMOL, or FoldX), bioinformatics platforms, and potentially certifications in relevant software are highly valued. Excellent problem-solving, self-motivation, and clear communication skills are crucial for remote collaboration and project management. These competencies ensure the effective design and optimization of proteins, drive innovation, and enable seamless teamwork across distributed environments.

What is remote protein engineering?

Remote protein engineering is the practice of designing, modifying, or analyzing proteins using computational tools and laboratory techniques, while working from a location outside of a traditional lab or office. Professionals in this field often use bioinformatics software, molecular modeling, and virtual collaboration platforms to conduct research and communicate with team members. This approach allows for flexibility and access to a broader talent pool, enabling scientists to contribute to projects from anywhere in the world. Remote protein engineering is commonly used in pharmaceutical, biotechnology, and academic settings to accelerate the development of new drugs, enzymes, and therapeutic proteins.

What are some common challenges faced when working remotely in protein engineering, and how can they be addressed?

Remote protein engineering professionals often encounter challenges such as limited access to laboratory facilities, coordinating experiments across distributed teams, and maintaining effective collaboration with colleagues. To address these issues, many teams rely heavily on virtual lab simulations, robust data-sharing platforms, and frequent video meetings for project alignment. Clear communication, meticulous documentation, and leveraging cloud-based computational tools are essential for ensuring productivity and seamless integration with onsite teams.

What is the difference between Remote Protein Engineering vs Remote Biochemist?

AspectRemote Protein EngineeringRemote Biochemist
Required CredentialsBachelor's or Master's in Biochemistry, Molecular Biology, or related fields; experience in protein designBachelor's or Master's in Biochemistry, Chemistry, or related fields; laboratory experience often preferred
Work EnvironmentPrimarily collaborative, project-based, often involving computational tools and lab workResearch-focused, combining lab experiments and data analysis, sometimes remotely
Industry UsageBiotech, pharmaceuticals, research institutionsAcademic, research institutions, biotech companies
Common Search & ComparisonRemote Protein Engineering vs Remote Biochemist

Remote Protein Engineering and Remote Biochemist roles share similar educational backgrounds and industry settings. However, protein engineering emphasizes designing and modifying proteins, often with computational tools, while biochemists focus on understanding biochemical processes, sometimes involving lab experiments. Both roles are vital in biotech and research sectors, with overlapping skills but distinct focuses.

More about Remote Protein Engineering jobs
What cities are hiring for Remote Protein Engineering jobs? Cities with the most Remote Protein Engineering job openings:
What are the most commonly searched types of Protein Engineering jobs? The most popular types of Protein Engineering jobs are:
What states have the most Remote Protein Engineering jobs? States with the most job openings for Remote Protein Engineering jobs include:
What job categories do people searching Remote Protein Engineering jobs look for? The top searched job categories for Remote Protein Engineering jobs are:
Remote Protein Engineering jobs near you
Infographic showing various Remote Protein Engineering job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Data Scientist II, Molecular Biology

Data Scientist II, Molecular Biology

EVOZYNE INC

Chicago, IL • On-site, Remote

$150K - $175K/yr

Full-time

Posted 7 days ago

Job description

Evozyne is an AI-native biotech company building a new way to design therapeutic proteins. Our generative AI platform was purpose-built to create entirely novel proteins that expand what’s possible beyond traditional drug discovery. We are applying this platform to develop transformative therapies for serious diseases with significant unmet need, working at the intersection of AI, biology, and protein engineering to solve complex scientific problems that conventional approaches cannot easily address.

Reporting to the Senior Director, Data Science, you will execute the analytical strategy for our drug discovery programs, encompassing experimental design, data synthesis, and featurization. You will partner closely with experimental scientists to understand assay design, wrangle multi-assay datasets, build decision-grade plots and summaries, and translate results for audiences from bench scientists to leadership. You’ll incorporate the latest advances in biological assay developments and database infrastructure to streamline program analytical processes, and your work will directly support experimental decision-making and generate high-quality datasets for model training (GenAI) for the design of novel synthetic biomolecules.

Location: Hybrid preferred (3 days per week in Chicago office); Open to remote (US-based)

What You’ll Do

  • Analyze, synthesize, and catalog experimental data across various data modalities to provide insights and optimization approaches.
  • Collaborate extensively with experimental scientists - asking questions, reflecting on objectives, and agreeing on success criteria before executing.
  • Own the development of reproducible pipelines to synthesize high-throughput experimental results into features amenable for training deep learning models.
  • Draw upon their experience in programming to maintain and update the company’s data processing and ingestion software infrastructure.
  • Deliver analyses and decision-grade visualizations that directly inform next-step experiments, assay optimization, or go/no-go decisions. 

Who You Are
You thrive in an early-stage start-up environment where you can leverage your agility and expertise to deliver high-quality results. You are galvanized by designing novel therapeutics in a rapidly evolving field with a cross-functional team of experts spanning biological disciplines. You are naturally curious and excel when working collaboratively to solve tough problems.

Required Skills + Experience

  • A PhD in a relevant scientific/or technical discipline with 0-2+ years relevant postdoctoral or industry experience, or a Master\'s degree with 4+ years of experience.
  • 2+ years of experience working in a cross-functional, collaborative scientific environment, such as in an academic lab, pharmaceutical company, and/or biotech.
  • Extensive experience working in an experimental scientific discipline, designing and executing experiments.
  • Advanced proficiency in preprocessing, analyzing, and cataloging high-throughput molecular biology or biochemistry datasets in Python.
  • Familiarity in database organization and management.
  • Expertise in ML and deep learning implementation, preferably in PyTorch or TensorFlow, is preferred.

Additional Information
Compensation: $150,000 - $175,000 

Individual compensation within this range is determined by a combination of factors, including, but not limited to level, years of relevant job-related experience, and internal equity. This is what we believe in good faith is the range of possible base salary for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. 

Relocation assistance is not available for this position.

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