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Remote Molecular Biologist Jobs (NOW HIRING)

Weekday AI

Biology Expert (PhD) - AI Safety

$65 - $70/hr

Molecular Biology * Microbiology * Virology * Genetics * Biochemistry * Bioinformatics * Synthetic ... Fully remote with flexible scheduling. Equal Opportunity We are committed to fostering an inclusive ...

Hirekeyz Inc

Research Analyst IV

Dauphin Island, AL · Remote

Remote but need to be on-site for meetings and work sessions at FDA office Dauphin Island, AL ... Master's Degree in Pharmacy or related field (e.g., biological science, microbiology, molecular ...

Ambry Genetics

$110K - $114K/yr

Compensation: $110,000-$114,000 annually Clinical Genomics Scientist II - Remote US: Experienced ... D. in Molecular Biology, Genetics, or related scientific field or MS in Genetic Counseling from an ...

Tempus

$110K - $114K/yr

Compensation: $110,000-$114,000 annually Clinical Genomics Scientist II - Remote US: Experienced ... D. in Molecular Biology, Genetics, or related scientific field or MS in Genetic Counseling from an ...

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

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How much do remote molecular biologist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote molecular biologist in the United States is $81,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $92,000.00 per year, depending on experience, location, and employer.

What is a remote molecular biologist?

A Remote Molecular Biologist conducts research and analyzes biological molecules such as DNA, RNA, and proteins while working from a remote location. They may work in various industries, including biotechnology, pharmaceuticals, and environmental science, using digital tools and laboratory data to collaborate with teams. Their responsibilities often include designing experiments, analyzing genetic or biochemical data, and contributing to scientific publications or product development. Remote Molecular Biologists typically use specialized software and cloud-based platforms to manage and interpret experimental results. This role requires strong analytical skills, attention to detail, and the ability to work independently while staying connected with research teams.

What are the key skills and qualifications needed to thrive as a remote molecular biologist?

To thrive as a Remote Molecular Biologist, you need a solid background in molecular biology techniques, data analysis, and a relevant degree such as biology, biochemistry, or a related field. Experience with laboratory information management systems (LIMS), bioinformatics tools, PCR, DNA/RNA extraction, and potentially certification in molecular diagnostics are highly valuable. Excellent time management, self-motivation, and strong written and verbal communication skills help remote professionals stay organized and connected with distributed teams. These abilities are crucial to ensure reliable results, effective data sharing, and collaboration despite physical distance from coworkers and laboratories.

How do remote molecular biologists typically collaborate with laboratory teams and manage experimental work?

Remote molecular biologists often collaborate with onsite laboratory teams through cloud-based data sharing platforms, video conferencing, and project management tools. They may design experiments, analyze data, and interpret results while coordinating remotely, with the wet-lab execution handled by in-house lab technicians or partners. Regular virtual meetings and detailed digital documentation ensure that all team members stay aligned and projects progress efficiently. This structure enables remote scientists to contribute meaningfully to research while maintaining seamless communication and workflow integration with laboratory staff.

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Remote Molecular Biologist jobs near you
Infographic showing various Remote Molecular Biologist job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $81,704 per year, or $39.3 per hour.

Computational Biologist

Verge Genomics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

Who We Are
Verge is transforming drug discovery by using artificial intelligence and proprietary human data to solve the biggest driver of rising drug costs: high clinical failure rates. To achieve this, we have built one of the field's largest corpuses of multi-modal patient molecular and clinical data, sourced directly from human tissue. Our team of engineers, neuroscientists, and biologists have so far delivered two drugs to clinic, discovered 282 new targets, and signed commercial partnerships worth in excess of $1.6B with Eli Lily and AstraZeneca.
Your Mission
Reporting to the Head of Product & Engineering, and working alongside Verge's platform and computational biology teams, the Computational Biologist (AI/ML) will be responsible for defining and enabling new product offerings leveraging Verge's drug discovery engine for internal stakeholders, external partners (across both pharma and AI), and customers.
Your 12 Month Outcomes
  • Work with Verge's AI partners to deliver a best-in-class biology foundation model with Verge's proprietary datasets
  • Develop a novel approach that enables a powerful new product offering (patient stratification, biomarker discovery, etc.)
  • Deliver at least two CONVERGE-powered insights projects to pharma/biotech companies
  • Build an internal agentic AI workflow that supports multi-modal biomedical reasoning and orchestration

You Will
  • Develop and evaluate cutting-edge computational methodologies integrating multi-omic datasets to develop predictive models for translational biology,
  • Lead high-impact projects that apply and adapt AI models to translational challenges in disease biology, biomarker discovery, and target exploration,
  • Lead partnerships with AI companies to co-develop next-generation foundation models for drug discovery
  • Frame biological problems in computational terms and design solutions that are biologically meaningful, interpretable, and experimentally testable,
  • Design and implement evaluation methodologies for assessing AI model capabilities relevant to biological research and applications,
  • Translate between biological domain knowledge and machine learning objectives.

Requirements
Candidates must have:
  • Either:
    • PhD in computational biology, AI/ML, applied statistics, biophysics, or,
    • MS and professional experience in relevant fields.
  • ≥5 years of experience working in applied computational biology and integration of multi-omic datasets (RNA-seq, genotyping, clinical), with ≥2 years in a startup environment,
  • ≥2 years of experience in relevant areas of translational science, demonstrating a deep understanding of target identification, biomarker discovery, and/or patient stratification,
  • Proven ability to implement, evaluate, and/or create computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery,
  • Fluency with state of the art in systems biology workflows, including off-the-shelf biological databases and computational biology tools,
  • Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
  • Track record of individual innovation, with published research or shipped work influencing pharma R&D decisions
  • Experience running a significant number of end-to-end RNA-Seq data analyses (from QC, read quantification, normalization through to interpretation),
  • Excellent coding skills in Python, with experience in relevant ML/AI libraries (e.g., PyTorch, HuggingFace, scikit-learn, pandas, numpy). A demonstrable portfolio (e.g., GitHub, research code, or shared notebooks) is highly preferred,
  • Experience in building and evaluating machine learning models on biological data, ideally with transformer-based models (e.g., scGPT, Geneformer, ESM, ProtBERT), with a deep understanding of feature selection, model interpretability,
  • Professional experience with AI workflows, including natural language processing (NLP), retrieval-augmented generation (RAG), embeddings, vectorization of diverse data types, and working with large language models (e.g., GPT),
  • Demonstrated experience with model evaluation and experimental design in a scientific context, including setting up appropriate benchmarks and controls.

Finally, we seek candidates who embrace our values and way of working:
  • Ability to thrive in uncertainty with frequently changing priorities
  • Deep alignment with our values
  • A passion for making an impact on patients

Apply