Remote Biology Jobs
Remote Biology jobs are open across the U.S. at companies hiring fully distributed teams, from biotech startups running virtual research operations to large life-sciences firms with remote regulatory, data, and science-writing roles. Employers hiring remote biologysts right now include Handshake, Bio-Techne, and William & Mary. Scan the live roles below and apply to whichever ones fit.
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Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Senior Scientist, Computational Biology, Life Science Strategy
About Tempus
Tempus is advancing precision medicine through the power of artificial intelligence and the world’s largest library of clinical and molecular data. Our mission is to enable real-time, data-driven decision-making to improve patient outcomes and accelerate drug development.
About the Role
We are seeking an experienced Senior Scientist to join the Computational Biology, Life Science Strategy team. This group operates at the intersection of biological data science and AI, supporting high-impact collaborations with major pharmaceutical partners and our life science strategy. The ideal candidate will demonstrate strong scientific leadership, deep expertise in computational biology including AI tools, and a proven track record of success. The role focuses on integrating large-scale molecular and clinical datasets, generating actionable insights for drug discovery and development, and building next-generation research tools that enhance the impact and efficiency of our work.
Key Responsibilities
- Life Science Strategy: Partner with internal and external stakeholders including life science strategy, market intelligence and pharma R&D to deliver high impact data insights that reflect the current biopharma landscape including around biomarker and clinical development. Independently translate rough concepts into well thought out analysis plans.
- Computational Analysis & Insight Generation: Execute robust, reproducible analyses integrating genomic, transcriptomic, imaging, and clinical data. Apply appropriate statistical and computational best practices to derive insights related to clinical trial design, patient selection, treatment response, resistance mechanisms, and disease biology.
- AI & LLM Innovation: Incorporate LLMs and other AI tools into day-to-day workflows to automate, streamline and accelerate code development, discovery, documentation, and review. Design and prototype agentic workflows integrating foundation models and LLMs to power new insights and predictive models.
- Method Development and Platform Contribution: Evaluate, adapt, and implement new methods for the analysis of real-world, clinical, and ’omic datasets (e.g., survival analysis, causal inference, multi-modal integration). Contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations and programs.
- Cross-Functional Collaboration: Work closely with colleagues in Research, Clinical, Data Science, and Engineering to refine analyses, build scalable solutions, and align scientific efforts with platform and product roadmaps.
- Scientific Communication: Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials that demonstrate the impact of Tempus data and technologies on partner programs.
- Leadership: demonstrate strong project-level leadership, to ensure the delivery of high-quality results in an efficient and effective manner. This includes setting clear priorities, coordinating resources, and proactively identifying and addressing potential obstacles to ensure that project milestones and deadlines are consistently met. The ideal candidate will foster a collaborative environment, provide mentorship to junior scientists on project teams, and uphold a standard of excellence in project execution and delivery.
Qualifications
- Education:
- PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related field (or Masters degree with 3+ years of relevant experience).
- Plus an additional 2+ years of relevant industry or post-doctoral experience.
- Track record of success: proven in peer reviewed publications.
-
Technical Proficiency
- Proficiency in R and/or Python, including experience with common computational biology and scientific computing libraries.
- Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks for biological/clinical research.
- Adherence to good software engineering practices (version control, modular code, documentation).
- Experience working with SQL and large relational databases.
- Strong grounding in statistics and data analysis, including study design considerations and interpretation of real-world clinical data.
- Proficiency in providing quality code review and QA/QC for the work of others.
- Scientific Knowledge: Strong understanding of cancer biology, immunology, or human disease mechanisms, with the ability to interpret and effectively summarize scientific findings.
- Data Expertise: Demonstrated experience analyzing large-scale biological datasets (e.g., NGS, RNA-seq, other genomics or transcriptomics data), ideally in oncology, immunology, or human disease.
- Scientific Leadership: Demonstrated project leadership and people mentorship.
- Soft Skills: Excellent written and verbal communication skills with comfort in client-facing roles. Strong collaborator. Ability to thrive in a fast-paced, dynamic setting.
Preferred Skillsets
- Generative AI: Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work.
- Specialized Modeling: Expertise in one or more of the following: Real-world evidence (RWE), survival analysis, causal inference, network/systems biology, or multi-modal integration.
- Publication Record: A strong history of peer-reviewed publications or conference presentations.
- Drug Discovery Context: Understanding of the drug development lifecycle, from target discovery to clinical development.
CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
Why Work Here?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Senior Scientist, Computational Biology, Life Science Strategy
About Tempus
Tempus is advancing precision medicine through the power of artificial intelligence and the world’s largest library of clinical and molecular data. Our mission is to enable real-time, data-driven decision-making to improve patient outcomes and accelerate drug development.
About the Role
We are seeking an experienced Senior Scientist to join the Computational Biology, Life Science Strategy team. This group operates at the intersection of biological data science and AI, supporting high-impact collaborations with major pharmaceutical partners and our life science strategy. The ideal candidate will demonstrate strong scientific leadership, deep expertise in computational biology including AI tools, and a proven track record of success. The role focuses on integrating large-scale molecular and clinical datasets, generating actionable insights for drug discovery and development, and building next-generation research tools that enhance the impact and efficiency of our work.
Key Responsibilities
- Life Science Strategy: Partner with internal and external stakeholders including life science strategy, market intelligence and pharma R&D to deliver high impact data insights that reflect the current biopharma landscape including around biomarker and clinical development. Independently translate rough concepts into well thought out analysis plans.
- Computational Analysis & Insight Generation: Execute robust, reproducible analyses integrating genomic, transcriptomic, imaging, and clinical data. Apply appropriate statistical and computational best practices to derive insights related to clinical trial design, patient selection, treatment response, resistance mechanisms, and disease biology.
- AI & LLM Innovation: Incorporate LLMs and other AI tools into day-to-day workflows to automate, streamline and accelerate code development, discovery, documentation, and review. Design and prototype agentic workflows integrating foundation models and LLMs to power new insights and predictive models.
- Method Development and Platform Contribution: Evaluate, adapt, and implement new methods for the analysis of real-world, clinical, and ’omic datasets (e.g., survival analysis, causal inference, multi-modal integration). Contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations and programs.
- Cross-Functional Collaboration: Work closely with colleagues in Research, Clinical, Data Science, and Engineering to refine analyses, build scalable solutions, and align scientific efforts with platform and product roadmaps.
- Scientific Communication: Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials that demonstrate the impact of Tempus data and technologies on partner programs.
- Leadership: demonstrate strong project-level leadership, to ensure the delivery of high-quality results in an efficient and effective manner. This includes setting clear priorities, coordinating resources, and proactively identifying and addressing potential obstacles to ensure that project milestones and deadlines are consistently met. The ideal candidate will foster a collaborative environment, provide mentorship to junior scientists on project teams, and uphold a standard of excellence in project execution and delivery.
Qualifications
- Education:
- PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related field (or Masters degree with 3+ years of relevant experience).
- Plus an additional 2+ years of relevant industry or post-doctoral experience.
- Track record of success: proven in peer reviewed publications.
-
Technical Proficiency
- Proficiency in R and/or Python, including experience with common computational biology and scientific computing libraries.
- Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks for biological/clinical research.
- Adherence to good software engineering practices (version control, modular code, documentation).
- Experience working with SQL and large relational databases.
- Strong grounding in statistics and data analysis, including study design considerations and interpretation of real-world clinical data.
- Proficiency in providing quality code review and QA/QC for the work of others.
- Scientific Knowledge: Strong understanding of cancer biology, immunology, or human disease mechanisms, with the ability to interpret and effectively summarize scientific findings.
- Data Expertise: Demonstrated experience analyzing large-scale biological datasets (e.g., NGS, RNA-seq, other genomics or transcriptomics data), ideally in oncology, immunology, or human disease.
- Scientific Leadership: Demonstrated project leadership and people mentorship.
- Soft Skills: Excellent written and verbal communication skills with comfort in client-facing roles. Strong collaborator. Ability to thrive in a fast-paced, dynamic setting.
Preferred Skillsets
- Generative AI: Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work.
- Specialized Modeling: Expertise in one or more of the following: Real-world evidence (RWE), survival analysis, causal inference, network/systems biology, or multi-modal integration.
- Publication Record: A strong history of peer-reviewed publications or conference presentations.
- Drug Discovery Context: Understanding of the drug development lifecycle, from target discovery to clinical development.
CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
Why Work Here?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
See All 25 Remote Biology Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Biology JobsRemote Biology Job Market
Who's Hiring
Top Industries Hiring
- Education
What Employers Look For
The qualifications that appear most often in remote biology jobs.
- Bachelor's or master's degree in biology, biochemistry, or a related life science field
- Hands-on experience with molecular techniques such as PCR, gel electrophoresis, or Western blotting
- Proficiency with laboratory information management systems and data analysis software
- Experience designing, executing, and documenting experimental protocols under GLP or GMP standards
- Strong written communication skills for preparing research reports and standard operating procedures
- Familiarity with regulatory compliance requirements relevant to clinical, environmental, or food safety testing
Tips for Your Remote Biology Job Search
Apply early to remote roles that fit
Migrate Mate lists remote biology openings from across the U.S. in one place, so you can find roles that match your background and apply directly. Remote postings often close faster than on-site ones, so checking regularly and applying promptly gives you a real advantage.
Highlight async communication in your materials
Remote biology employers screen for written clarity because distributed teams rely on documentation rather than hallway conversations. Point to scientific reports, research summaries, or any writing you produced independently to show you communicate precisely without real-time back-and-forth.
Build a portfolio of independent biology work
Remote hiring managers can't observe you in a lab, so a portfolio of self-directed projects, published analyses, or open-access research contributions gives them concrete evidence of your output. Include links to databases, GitHub repositories, or publications where your biology work is visible.
Show proficiency with remote science tools
List the specific platforms your target employers use, such as electronic lab notebook software, bioinformatics pipelines, or cloud-based data environments like R, Python, or cloud genomics platforms. Remote biology teams expect candidates who can contribute to distributed workflows from day one.
Remote Biology Jobs: Frequently Asked Questions
How do I get a remote biology job?
Focus on companies in biotech, biopharma, and health tech that run distributed science teams, since those employers are most likely to post fully remote biology roles. Remote hiring managers screen heavily for self-direction, clear async written communication, and fluency in collaboration tools like Slack and Notion. Demonstrating experience with remote data analysis, scientific writing, or regulatory documentation gives your application a concrete edge over candidates without documented independent work.
Which companies hire remote biologysts?
Employers currently hiring remote biologysts include Handshake, Bio-Techne, and William & Mary, per current remote listings on Migrate Mate as of November 2026. Remote biology roles are concentrated at remote-first biotech and biopharma firms, distributed health-tech companies, and large life-sciences organizations with virtual regulatory or scientific-affairs teams.
Can you get a remote biology job with no experience?
Yes, but remote entry-level biology roles are harder to land because employers expect you to work independently from day one without in-person guidance. Remote-first biotech startups and health-tech companies occasionally post junior science-writing, data-entry, or research-coordination roles that are fully remote. A strong portfolio of independent lab reports, published coursework, or volunteer research contributions can substitute for formal work history and signals you can self-manage remotely.
Do you need a degree for remote biology jobs?
Usually, but the weight placed on specific credentials varies by role. Most remote biology positions in research, regulatory affairs, or scientific writing expect at least a bachelor's degree in biology or a related life science. Remote employers increasingly weigh demonstrated skills alongside formal education, so published work, independent research projects, and certifications in bioinformatics or regulatory compliance can strengthen a candidate who lacks a graduate degree.
Which industries hire the most remote biologysts?
Most remote biology openings sit in Education, per current remote listings on Migrate Mate as of November 2026. Those sectors hire biologysts remotely because their core work, including data analysis, regulatory documentation, and scientific communication, translates well to distributed team structures.
See All 25 Remote Biology Jobs
Find roles that match your experience and apply in just a few clicks.
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