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Remote Protein Engineer Jobs in Massachusetts (NOW HIRING)

AI Product Manager

Watertown, MA · On-site +1

$154K - $263K/yr

Watertown, MA or Remote How You Will Contribute At Dyno, every role is mission-driven. Whether in ... Our team unites world-class molecular biologists, protein engineers, software developers, data ...

Field Application Scientist

Boston, MA · On-site +1

$100K - $130K/yr

... remote Field Application Scientist. This FAS will be responsible for providing pre-sales and post-sales support. Prior to product launch, this position will also be involved in developing protein ...

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 ...

Remote Protein Engineer information

What is a remote protein engineer?

A remote protein engineer is a scientist who designs, modifies, or analyzes proteins using computational and laboratory techniques, while working from a location outside of a traditional laboratory or office. These professionals use bioinformatics tools, molecular modeling, and other technologies to understand and engineer proteins for applications in medicine, biotechnology, or industry. Working remotely, they collaborate with teams virtually, analyze data, and may occasionally visit laboratories for hands-on experiments, but much of their work can be performed using computer software and online communication.

What are the key skills and qualifications needed to thrive as a remote protein engineer?

To thrive as a Remote Protein Engineer, you need a strong background in molecular biology, protein biochemistry, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with protein modeling software (such as Rosetta or PyMOL), sequence analysis tools, and experience with wet-lab or in silico techniques are commonly required. Excellent problem-solving abilities, strong communication skills, and self-motivation are crucial soft skills for collaborating across remote teams and driving independent research. These skills and qualities are vital for designing innovative proteins and ensuring effective teamwork and project delivery in a virtual environment.

How do remote protein engineers typically collaborate with laboratory teams despite working off-site?

Remote Protein Engineers often work closely with in-house laboratory teams through virtual meetings, shared data platforms, and regular progress updates. They may analyze experimental results provided by lab staff, design new protein variants using computational tools, and communicate recommendations or protocol adjustments remotely. Effective collaboration relies on clear communication, detailed documentation, and the use of collaborative project management software to ensure everyone is aligned, even when not physically present. This structure enables remote engineers to contribute meaningfully to research goals and maintain strong connections with their on-site colleagues.

What job categories do people searching Remote Protein Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Protein Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Protein Engineer jobs?

Cities in Massachusetts with the most Remote Protein Engineer job openings:

Infographic showing various Remote Protein Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Product Specialist, Software & AI

The businesses of Merck KGaA, Darmstadt, Germany

Burlington, MA • On-site, Remote

$116K - $175K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Job description

Work Location: Burlington, Massachusetts
Shift: No
Department: LS-DS-BPI Instruments, Automation & AI
Recruiter:Michele Lee Stabinsky


This information is for internals only. Please do not share outside of the organization.


The preferred location for this role is Burlington, MA or St. Louis, MO. Other locations in the US, including remote, may also be considered.

Your Role

As the Product Specialist for Software & AI, you will drive pioneering innovation in the strategy, development, and commercialization of cutting-edge software and AI-enabled solutions that revolutionize protein science workflows. Functioning as a technical product owner, this role requires deep expertise in scientific software and digital technologies, with a strong emphasis on transforming assay knowledge, customer insights, and automation data into smart, forward-thinking, and intuitive product innovations that accelerate time-to-market.

You will collaborate closely with automation, R&D, software engineering, and data science teams to co-create advanced digital capabilities - owning the product vision and roadmap delivery - that set new standards for ease of use, reproducibility, and workflow efficiency across our Protein Sciences portfolio.

Key Responsibilities

Define and drive the technical roadmap for scientific software, data infrastructure, and AI/ML capabilities across the Protein Sciences portfolio, delivering differentiated data-driven and algorithm-enabled solutions.

Serve as the technical and innovation lead for scientific software and AI, bridging assay workflows, data models, and advanced analytics to enable next-generation protein analysis.

Identify and drive opportunities where AI and modern data methods unlock new capabilities, advancing assay development, signal processing, data harmonization, and performance monitoring beyond traditional approaches.

Translate customer, market, and workflow needs into software and AI product requirements, including data models, feature definitions, and user experiences aligned to real-world scientific applications.

Lead the integration of software, data, and automation systems, defining data capture, metadata standards, control interfaces, and interoperability across instruments and digital platforms.

Drive cross-functional product development and innovation, partnering with Software Engineering, UX, R&D, Automation, and PM Operations - managing the full product development lifecycle from concept through launch to ensure on-time, on-strategy delivery.

Evaluate and develop strategic partnerships with external software, data, and AI providers to accelerate platform capabilities and innovation.

Support go-to-market strategy and commercial enablement, applying core product management principles including product positioning, voice-of-customer synthesis, messaging, and launch execution for software and AI solutions.

Minimum Qualifications

  • Bachelor's degree in biology, bioengineering, computer science, data science, or related field.
  • 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research.

Preferred Qualifications

  • M.Sc., Ph.D., or MBA.
  • Experience with AI/ML applications in assay development, signal analysis, data interpretation, or workflow optimization.
  • Familiarity with cloudbased software, data pipelines, and workflow orchestration tools.
  • Strong ability to translate scientific complexity into userfriendly digital tools.
  • Experience working across biology, software, engineering, and commercial teams; familiarity with agile product management methodologies and cross-functional roadmap execution is a plus.

US Pay Range for this position: $116,600-$175,000

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information clickhere.


The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

Employment Type: FULL_TIME