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How much do remote computational biochemistry jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for remote computational biochemistry in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

How do remote computational biochemists typically collaborate with experimental teams and other researchers?

Remote computational biochemists often work closely with experimental scientists, data analysts, and other computational researchers through digital collaboration tools. Regular virtual meetings, shared data repositories, and project management platforms are commonly used to coordinate research objectives, share simulation results, and integrate computational findings with laboratory data. Clear communication and documentation are essential to align on project goals and troubleshoot challenges, especially since time zones and remote settings can make real-time collaboration less frequent. Building strong virtual relationships and maintaining open channels for feedback enhances teamwork and project outcomes.

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

To thrive as a Remote Computational Biochemist, you need a strong foundation in biochemistry, molecular biology, and computational modeling, typically with a relevant advanced degree (MSc/PhD). Proficiency in molecular dynamics software (such as GROMACS or AMBER), programming languages (like Python or R), and experience with high-performance computing environments are essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex results clearly are critical soft skills in this field. These qualifications enable accurate simulation and analysis of biological systems, driving discoveries and collaboration in remote, interdisciplinary research settings.

What is remote computational biochemistry?

Remote computational biochemistry is a scientific field where researchers use computer-based methods to study biochemical processes and molecular interactions, often from locations outside of traditional laboratories. Professionals in this area use specialized software and simulations to investigate the structure, dynamics, and functions of biological molecules like proteins and nucleic acids. Working remotely, they can collaborate with global teams, analyze large datasets, and contribute to research in drug discovery, enzyme design, and other areas. This approach allows for flexible work environments and leverages advances in cloud computing and high-performance computing resources.
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Lead Technical Writer, Clinical AI/ML & SaMD

Lead Technical Writer, Clinical AI/ML & SaMD

Grant Engine

On-site, Remote

Full-time, Part-time

Posted 9 days ago


Job description

Lead Technical Writer, Clinical AI/ML amp; SaMD
We are seeking a Lead Writer to partner closely with a Program Manager in developing high-stakes federal proposals (e.g., ARPA-H, BARDA, SBIR) for industry-focused clients. The work will span regulated clinical AI and adjacent biomedical AI product development, including SaMD clinical support tools, autonomous patient-facing and clinical workflow agents with post-deployment oversight and safety monitoring, computer-vision image analysis systems, and AI-enabled medical devices (including edge AI and/or surgical robotics), with additional exposure to computational AI for drug discovery.
This is NOT a general grant-writing or editing role. We are seeking someone who can shape reviewer-credible technical narratives at the intersection of clinical AI/digital health development and deployment, rigorous validation and safety monitoring, SaMD regulatory and authorization requirements, and milestone-driven program design. They will lead the full range of technical activities required to conceptualize, prepare, and deliver grant proposals to NIH, DoD, and other government agencies. The ideal candidate is comfortable bridging next-generation innovation with real-world execution—able to see what may be technically possible and translate it into a plan that can be responsibly proposed, rigorously evaluated, and ultimately deployed to improve human health. This role requires exceptional technical writing and cross-functional synthesis, fluency in AI/ML development and validation, and the ability to handle multiple concurrent projects each with varying deadlines for execution.
Grant Engine is focused on securing funding for leading companies that have high potential to make a difference in their domain. Our vision is to improve and extend human life by supporting our clients. In this mission, we selectively work with clients whose technology has the potential to significantly improve upon the standard-of-care. In this pursuit, we hold the following core values in high regard: Trust, Customer Success, Excellence Without Bias, Teamwork.
We realize that to build this vision, Grant Engine must be a leader in the field. We identify innovation from every corner of our company and we are committed to innovation in every facet of our work. Each of us works to get results by employing, or pioneering, cutting-edge techniques in communication and program management to realize our vision. We know that every detail matters. We are committed to successfully delivering on our goals so that our partners can deliver on theirs. Everyone on our team realizes that when clients win, our mission is accomplished.
A key tenet of the Grant Engine team is that we work well together! We trust one another’s judgment and have established an effective team dynamic of delivering on our individual responsibilities to best serve our clients.
This position is part-time or full-time opportunity. Individuals with superior skills and a demonstrated track record will be considered for immediate full-time hire.
Job Title:
Lead Writer, Technical Lead, Clinical AI/ML agents
Status
Part-time or full-time opportunity (based on experience, proposal volume, and demonstrated fit).
Location
USA (remote/client-facing role).
Deliverables
Proposal Leadership amp; Drafting
  • Serve as a senior, client-facing proposal architect and lead writer for ARPA-H and related federal R amp;D pursuits in clinical AI/digital health.
  • Work directly with external clients (founders, clinicians, technical teams, consortium partners) to shape proposal strategy, technical framing, and reviewer-facing narrative.
  • Partner with internal proposal managers to align on timelines, deliverables, and submission workflows.
Draft All Proposal Sections
  • Draft all major proposal sections (not just outlines or edits), including technical narrative, significance/impact, innovation, work plan, milestones, evaluation/validation strategy, risk/mitigation, and related supporting sections as applicable.
  • Translate solicitation requirements and client inputs into clear, cohesive, submission-ready draft content.
  • Build proposal structure (workstreams/technical areas, dependencies, milestones, go/no-go logic) and write it into a reviewer-credible narrative.
Client Iteration amp; Content Refinement
  • Lead working sessions with external clients to extract technical and clinical content.
  • Iterate drafts directly with clients through review cycles, incorporating feedback while preserving clarity, coherence, and strategic positioning.
  • Resolve gaps, contradictions, and unsupported claims across sections.
  • Drive revision cycles toward a coherent, technically credible, reviewer-ready final proposal.
Necessary Qualifications:
  • PhD preferred. Master’s Degree in biology, biochemistry, biomedical engineering, other life science, or relevant background, essential.
  • Minimum 1-year scientific writing experience, preferably in a healthcare/research/academic environment.
  • Proven experience writing grants, including NIH SBIR proposals, and/or experience with other funding mechanisms.
  • Demonstrated ability to shape technical narratives for AI/ML, digital health, and software-enabled healthcare technologies in real deployment contexts.
  • Strong fluency in AI/ML technology development, clinical validation concepts, implementation and deployment realities, and regulatory/authorization constraints.
  • Proven ability to operate under ambiguity and deadline pressure while improving rigor.
Additional Qualifications and Competencies:
  • Critical Evaluation: Objectivity, critical thinking, problem solving, curiosity, inquisitiveness, research methodology, knowledge management, online search skills.
  • Communication for Impact: Exceptional verbal and written communications skills, command of the English language, strong presentation skills, diplomacy, perceptual objectivity, active listening, asking the right questions.
  • Understanding of healthcare industry trends, regulations, and emerging technologies associated with software and digital health.
  • Relationship Building: Trustworthy, competent, client-focused, credible, proactive and responsive, values the team environment, and works with mutual respect.
  • Flexibility: Ability to handle changing priorities and multiple concurrent deadlines while maintaining high quality final products.
  • Ethical Practice: Personal and professional integrity, builds trust and rapport.
Compensation:
Competitive salary commensurate with experience. Bonus eligible.