Remote Principal Scientist Jobs
Remote Principal Scientist jobs are open across biotech, pharmaceuticals, data science, and clinical research at remote-first firms and distributed enterprise teams that have built fully asynchronous scientific workflows. Roles range from individual contributor research positions through staff and distinguished scientist levels requiring cross-functional leadership. Employers hiring remotely right now include Insight, Aimpoint Digital, and Loyal. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 27+ Remote Principal Scientist jobs
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.
Our Values:
- We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward.
- We Make It Happen: We act with urgency, deliver with excellence, and always find a way.
- We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
- We Care Deeply: We show up with integrity, kindness, and respect for one another.
The Position:
We are seeking a talented and experienced Principal Data Scientist with proven expertise in developing oncology-based digital pathology AI models (DPAI) to join our Veracyte's Data Science team. This position offers a unique opportunity to work with skilled professionals to drive Veracyte's DPAI-based research program. Successful candidate is expected to lead algorithm development of new diagnostic products based on digital pathology by leveraging one of the world's largest multi-modal oncology databases.
Key Responsibilities:
- Develop DPAI models using WSI data to predict clinical outcomes and pathological/morphologic features ensuring their biological explainability, including adapting open-source state-of-the-art AI foundation models to Veracyte's and collaborator
- Identify the correct data sources for developing DPAI models and lead team efforts to obtain annotation or labels for ML development.
- Analyze complex data/ML problems and break them into actionable sub projects or tasks. Coordinate the delegation of tasks to junior team members as technical lead, track progress and ensure correctness of the deliverables.
- Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor projects and algorithms accordingly.
- Partner closely with bioinformatics, statistical, and medical experts to document projects, including writing and generating analyses and visualizations for publication in peer-reviewed journals.
- Lead collaboration within and across teams with the ability to manage project execution and completion.
- Coordinate with both internal and external medical experts to identify critical research questions and datasets that build evidence for the utility of our models.
Who You Are:
- PhD in Data Science, Machine Learning, Applied Math or equivalent field.
- 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred).
- Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation).
- Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
- Experience working in cloud computing environments (AWS preferred).
- Demonstrated proficiency in summarizing and communicating findings from data, including attention to detail when sharing findings.
- Demonstrated ability to clearly explain AI/ML concepts to both experts and non-experts in text and figures via formal presentations and academic writing.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
- Direct technical leadership and employee management experience, including the ability to break down complex problems into actionable and delegable projects.
- Passionate about data, independently eager to learn, and possesses strong analytical, problem-solving, and story-telling skills.
RELEVANT EXPERIENCE (preferred but not required):
- Experience serving as technical leader or manager.
- Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD).
- Experience working with real world clinical data and evidence.
LOCATION:
- This is a remote friendly position for both US and Canada based candidates.
- On-site desk-space is available in South San Francisco or San Diego.
#LI-Remote
For candidates working remote (US), the range is $188,000 - $210,000
For candidates working in Canada, the range is: $160,000 - $182,000
What We Can Offer You
Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.
About Veracyte
Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter).
Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice
If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.
Our Values:
- We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward.
- We Make It Happen: We act with urgency, deliver with excellence, and always find a way.
- We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
- We Care Deeply: We show up with integrity, kindness, and respect for one another.
The Position:
We are seeking a talented and experienced Principal Data Scientist with proven expertise in developing oncology-based digital pathology AI models (DPAI) to join our Veracyte's Data Science team. This position offers a unique opportunity to work with skilled professionals to drive Veracyte's DPAI-based research program. Successful candidate is expected to lead algorithm development of new diagnostic products based on digital pathology by leveraging one of the world's largest multi-modal oncology databases.
Key Responsibilities:
- Develop DPAI models using WSI data to predict clinical outcomes and pathological/morphologic features ensuring their biological explainability, including adapting open-source state-of-the-art AI foundation models to Veracyte's and collaborator
- Identify the correct data sources for developing DPAI models and lead team efforts to obtain annotation or labels for ML development.
- Analyze complex data/ML problems and break them into actionable sub projects or tasks. Coordinate the delegation of tasks to junior team members as technical lead, track progress and ensure correctness of the deliverables.
- Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor projects and algorithms accordingly.
- Partner closely with bioinformatics, statistical, and medical experts to document projects, including writing and generating analyses and visualizations for publication in peer-reviewed journals.
- Lead collaboration within and across teams with the ability to manage project execution and completion.
- Coordinate with both internal and external medical experts to identify critical research questions and datasets that build evidence for the utility of our models.
Who You Are:
- PhD in Data Science, Machine Learning, Applied Math or equivalent field.
- 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred).
- Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation).
- Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
- Experience working in cloud computing environments (AWS preferred).
- Demonstrated proficiency in summarizing and communicating findings from data, including attention to detail when sharing findings.
- Demonstrated ability to clearly explain AI/ML concepts to both experts and non-experts in text and figures via formal presentations and academic writing.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
- Direct technical leadership and employee management experience, including the ability to break down complex problems into actionable and delegable projects.
- Passionate about data, independently eager to learn, and possesses strong analytical, problem-solving, and story-telling skills.
RELEVANT EXPERIENCE (preferred but not required):
- Experience serving as technical leader or manager.
- Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD).
- Experience working with real world clinical data and evidence.
LOCATION:
- This is a remote friendly position for both US and Canada based candidates.
- On-site desk-space is available in South San Francisco or San Diego.
#LI-Remote
For candidates working remote (US), the range is $188,000 - $210,000
For candidates working in Canada, the range is: $160,000 - $182,000
What We Can Offer You
Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.
About Veracyte
Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter).
Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice
If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com
See All 27 Remote Principal Scientist Jobs
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Find JobsRemote Principal Scientist Job Market
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Retail
- Science & Research
- Media & Entertainment
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote principal scientist jobs.
- PhD in a relevant scientific discipline such as biology, chemistry, biochemistry, or a related field
- Eight or more years of hands-on research experience in industry or government settings
- Demonstrated record of first- or senior-author peer-reviewed publications and patent contributions
- Proficiency with domain-specific tools such as molecular modeling software, analytical instrumentation, or statistical programming languages
- Experience leading cross-functional project teams and mentoring junior scientists or postdoctoral researchers
- Familiarity with regulatory submission processes such as IND, NDA, or equivalent documentation standards
Tips for Your Remote Principal Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote principal scientist openings from across the U.S. in one place, so you can find roles that match your domain and apply directly. Remote positions at well-known firms fill fast, so apply as soon as a role appears rather than waiting.
Document your async scientific communication style
Remote employers screen specifically for written communication. Update your materials to show examples of scientific memos, cross-functional research updates, or async decision documents you've authored, because these signal you can lead science without in-person context.
Highlight end-to-end program ownership
Remote principal scientist roles require you to move a research program forward independently. Describe specific programs you owned from hypothesis through data readout or publication, naming the decisions you made without escalating, to show you can operate without daily oversight.
Signal fluency with distributed research tools
List the collaboration and lab informatics tools you use, such as Benchling, Confluence, Notion, or electronic lab notebooks, alongside standard scientific software. Remote hiring managers look for candidates already comfortable in the async stack their distributed team runs on.
Remote Principal Scientist Jobs: Frequently Asked Questions
How do I get a remote principal scientist job?
Remote principal scientist roles go to candidates who demonstrate independent scientific leadership without needing on-site oversight. Employers screen hard for written communication, because async updates and documentation replace hallway conversations. Strong candidates show a publication or patent record, experience driving a research program end-to-end, and fluency with collaborative tools like Notion, Confluence, or Benchling. Remote-first biotech and pharma companies are the most consistent hirers for fully distributed principal scientist positions.
Which companies hire remote principal scientists?
Employers currently hiring remote principal scientists include Insight, Aimpoint Digital, and Loyal, per current remote listings on Migrate Mate as of August 2026. Remote-first biotech firms, distributed pharma R&D teams, and tech companies with computational biology or data science functions are the most consistent sources of fully remote principal scientist openings.
Can you get a remote principal scientist job with no experience?
Yes, but remote entry paths at the principal scientist level are narrow, because remote employers expect you to drive research programs with minimal hand-holding from day one. Early-career candidates who land remote roles typically come from strong PhD or postdoctoral work, have first-author publications, or have led a discrete project they can describe in detail. Smaller remote-first startups and contract research roles are the most realistic entry points when direct industry experience is limited.
Do you need a degree for remote principal scientist jobs?
Usually, yes. The principal scientist title almost universally requires at minimum a master's degree, and the large majority of postings expect a PhD in a relevant scientific discipline. Remote employers weigh published research output, demonstrated program ownership, and domain depth alongside formal credentials. Candidates without advanced degrees who have built equivalent expertise through industry R&D roles can still compete, but a graduate degree remains the standard expectation.
Which industries hire the most remote principal scientists?
Remote principal scientist roles concentrate in Consulting & Professional Services, Retail, and Science & Research, based on current remote listings on Migrate Mate as of August 2026. These sectors have adopted distributed research models because computational work, regulatory writing, and data-heavy scientific programs can run effectively across time zones without a shared lab bench.
See All 27 Remote Principal Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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