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Remote Protein Engineering Jobs (NOW HIRING)

Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle ... We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote ...

Technical Sales Representative (East Coast)

PA · On-site +1

$105K - $146K/yr

Technical Sales Representative (Remote) Location: East Coast. REQUIRED Home Base - New Jersey or ... Degree in Engineering or Life Science discipline is preferred. * A minimum of 2 - 5 years of ...

... Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and ... We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration ...

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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 Jul 15, 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:
Infographic showing various Remote Protein Engineering job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Account Executive, Global Accounts

Account Executive, Global Accounts

Cradle

On-site, Remote

Full-time

Re-posted 29 days ago


Job description

This is Cradle
Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just over 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
Context
Cradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.
As a Global Account Executive based on the East Coast, you'll lead strategic engagements with some of the world's most influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships.
With product-market fit secured, a rapidly expanding base of enterprise customers, and world-class scientific and technical talent, you'll play a central role in scaling Cradle's global impact.
Responsibilities
  • Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.
  • Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.
  • Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.
  • Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.
  • Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.
  • Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.

In a team that's thinking big and growing fast, there are few limits to this role. You'll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.
Need to haves
  • Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.
  • 5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).
  • You're confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.
  • You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.
  • You listen intently, are innately curious, and learn with humility.

Nice to haves
  • Strong business network across biotech/pharma on the East Coast US.
  • Domain knowledge in machine learning or its applications in life sciences.
  • Prior experience at a (B2B) growth-stage startup.
  • Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.
Our commitment to inclusive hiring
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
AI disclosure
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions - all candidates are evaluated through a thorough, human-led review by our recruiting team.
A notice about recruitment scams
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.