Remote Lead Scientist Jobs
Remote lead scientist jobs are open across the U.S. in sectors like biotechnology, pharmaceuticals, computational biology, and environmental science, at remote-first firms and distributed research teams that have built workflows around asynchronous collaboration. Employers hiring remotely right now include Tiger Analytics, MaxIT Consulting - Max Corporate, and Dynata. Scan the live roles below and apply to whichever ones fit.
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Showing 4 of 23+ Remote Lead Scientist jobs
Lead Data Scientist – Causal Inference & Clinical Outcomes (Contract)
Location: Remote – United States
Employment Type: Part-Time Contract (1099 Independent Contractor or W-2)
Schedule: 10–15 hours per week initially, with the opportunity to increase hours based on project needs
Compensation: $150 per hour
Reports To: CFO
Engagement Duration: Project-based, with potential for extension or expanded responsibilities
About Jaan Health / Phamily
Jaan Health is an innovative, AI-powered healthcare technology company focused on transforming proactive care management and improving patient outcomes.
Through its proprietary Phamily platform, Jaan Health enables healthcare providers, medical groups, health systems, and Accountable Care Organizations (ACOs) to deliver scalable, high-quality care management services.
Phamily leverages advanced technology and AI-enabled workflows to help providers manage chronic conditions, improve patient engagement, reduce avoidable healthcare utilization, and deliver measurable clinical and financial outcomes.
Learn more at phamily.com.
Position Overview
Jaan Health is seeking a highly experienced Lead Data Scientist specializing in Causal Inference and Clinical Outcomes Research for a flexible, remote consulting engagement.
This opportunity is ideal for a senior-level data scientist, biostatistician, health economist, or Healthcare Economics and Outcomes Research (HEOR) professional who has extensive experience evaluating the impact of healthcare interventions using real-world clinical data.
The consultant will lead the design and execution of a rigorous clinical outcomes study evaluating the effectiveness of Jaan Health's Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs.
The primary objective is to establish statistically defensible evidence of program effectiveness, with particular emphasis on:
Hospitalization and Readmission Rates: Determining whether patients enrolled in care management programs experience fewer hospitalizations or readmissions.
Post-Discharge Follow-Up: Evaluating whether enrolled patients demonstrate improved follow-up rates after hospital discharge.
Clinical and Financial Outcomes: Quantifying measurable improvements in patient care, healthcare utilization, and program performance.
The ideal candidate will bring deep expertise in causal inference methodologies, observational healthcare data, and advanced statistical modeling, with the ability to independently lead a high-impact analytical initiative.
This position offers significant flexibility, beginning at approximately 10–15 hours per week, with the opportunity to ramp up hours as the project progresses.
Key Responsibilities
Clinical Outcomes Research & Study Design
Lead the development and execution of longitudinal, quasi-experimental clinical outcomes studies.
Evaluate the effectiveness of APCM and CCM programs using healthcare claims and Electronic Health Record (EHR) data.
Establish appropriate patient cohorts, comparison groups, outcome definitions, and analytical frameworks.
Quantify differences in hospitalization rates, readmissions, and post-discharge follow-up outcomes.
Develop statistically rigorous, reproducible methodologies capable of withstanding actuarial and clinical review.
Causal Inference & Advanced Statistical Modeling
Apply advanced causal inference techniques to estimate the impact of healthcare interventions.
Utilize methodologies such as propensity score matching, inverse probability weighting, difference-in-differences, and other appropriate quasi-experimental approaches.
Identify and address confounding variables, selection bias, and other limitations associated with observational healthcare data.
Develop high-dimensional statistical matching approaches for large, complex datasets.
Conduct sensitivity analyses and validate the robustness of research findings.
Healthcare Data Analysis & Technical Execution
Analyze complex healthcare claims, EHR, and patient utilization datasets.
Develop and maintain analytical workflows using Python, R, and SQL.
Work within existing data environments that may include dbt, Amazon Redshift, and Looker.
Ensure data integrity, analytical reproducibility, and compliance with applicable PHI security requirements.
Produce well-documented analytical code and reporting assets for internal stakeholders.
Stakeholder Collaboration & Reporting
Collaborate directly with the Director of Business Intelligence and other internal stakeholders.
Engage with healthcare clients, clinical leadership, and actuarial teams to align research methodologies and outcome measures.
Present statistical findings and clinical outcomes in a clear, actionable format.
Develop executive-ready presentations, reports, and supporting documentation.
Translate complex analytical findings into meaningful business and clinical insights.
Vendor Deliverable Review & Knowledge Transfer
Review and assess analytical deliverables produced by previous external vendors.
Identify usable methodologies, data assets, and findings that can be incorporated into ongoing research.
Recommend improvements to existing analytical processes and study designs.
Document methodologies and transfer knowledge to the internal Business Intelligence team.
Required Qualifications
Extensive professional experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.
Demonstrated expertise in causal inference and observational study design.
Proven experience evaluating healthcare interventions and measuring clinical outcomes.
Strong proficiency in Python, R, and SQL.
Experience analyzing large-scale healthcare claims and EHR datasets.
Deep understanding of propensity score matching, quasi-experimental research methodologies, statistical validation, and confounding adjustment.
Ability to independently design and execute technically sophisticated analytical studies.
Experience developing statistical methodologies suitable for rigorous clinical, actuarial, or external stakeholder review.
Strong understanding of healthcare data privacy, HIPAA, and protected health information requirements.
Excellent communication skills, including the ability to present complex findings to nontechnical stakeholders.
Advanced degree in Statistics, Data Science, Biostatistics, Epidemiology, Health Economics, or a closely related quantitative discipline.
Preferred Qualifications
Previous experience as a Health Economics and Outcomes Research (HEOR) Consultant, Principal Data Scientist, or Lead Biostatistician.
Experience evaluating chronic care management, population health, value-based care, or Medicare-related programs.
Familiarity with APCM, CCM, and healthcare reimbursement models.
Experience working with healthcare actuaries or validating analytical methodologies for actuarial review.
Knowledge of dbt, Amazon Redshift, and Looker.
Experience supporting health-tech startups or rapidly growing healthcare technology companies.
Strong consulting background with the ability to deliver results independently.
Experience developing executive-level clinical outcomes presentations and client-facing research reports.
Contract Details & Compensation
Hourly Rate: $150 per hour.
Engagement Type: 1099 independent contractor or W-2 contract.
Initial Commitment: Approximately 10–15 hours per week.
Growth Opportunity: Potential to increase weekly hours as project requirements evolve.
Work Arrangement: Fully remote.
Schedule: Flexible, with availability for periodic stakeholder meetings and project discussions.
Duration: Project-based engagement with the possibility of extension.
This opportunity is particularly well suited for an experienced consultant seeking a flexible, part-time engagement while contributing to meaningful healthcare research and measurable improvements in patient outcomes.
This position is responsible for complying with all organizational security, privacy, and compliance policies applicable to the role, including separation of duties requirements, and for protecting the confidentiality, integrity, and availability of the information and systems they access.
Equal Employment Opportunity:
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.
Lead Data Scientist – Causal Inference & Clinical Outcomes (Contract)
Location: Remote – United States
Employment Type: Part-Time Contract (1099 Independent Contractor or W-2)
Schedule: 10–15 hours per week initially, with the opportunity to increase hours based on project needs
Compensation: $150 per hour
Reports To: CFO
Engagement Duration: Project-based, with potential for extension or expanded responsibilities
About Jaan Health / Phamily
Jaan Health is an innovative, AI-powered healthcare technology company focused on transforming proactive care management and improving patient outcomes.
Through its proprietary Phamily platform, Jaan Health enables healthcare providers, medical groups, health systems, and Accountable Care Organizations (ACOs) to deliver scalable, high-quality care management services.
Phamily leverages advanced technology and AI-enabled workflows to help providers manage chronic conditions, improve patient engagement, reduce avoidable healthcare utilization, and deliver measurable clinical and financial outcomes.
Learn more at phamily.com.
Position Overview
Jaan Health is seeking a highly experienced Lead Data Scientist specializing in Causal Inference and Clinical Outcomes Research for a flexible, remote consulting engagement.
This opportunity is ideal for a senior-level data scientist, biostatistician, health economist, or Healthcare Economics and Outcomes Research (HEOR) professional who has extensive experience evaluating the impact of healthcare interventions using real-world clinical data.
The consultant will lead the design and execution of a rigorous clinical outcomes study evaluating the effectiveness of Jaan Health's Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs.
The primary objective is to establish statistically defensible evidence of program effectiveness, with particular emphasis on:
Hospitalization and Readmission Rates: Determining whether patients enrolled in care management programs experience fewer hospitalizations or readmissions.
Post-Discharge Follow-Up: Evaluating whether enrolled patients demonstrate improved follow-up rates after hospital discharge.
Clinical and Financial Outcomes: Quantifying measurable improvements in patient care, healthcare utilization, and program performance.
The ideal candidate will bring deep expertise in causal inference methodologies, observational healthcare data, and advanced statistical modeling, with the ability to independently lead a high-impact analytical initiative.
This position offers significant flexibility, beginning at approximately 10–15 hours per week, with the opportunity to ramp up hours as the project progresses.
Key Responsibilities
Clinical Outcomes Research & Study Design
Lead the development and execution of longitudinal, quasi-experimental clinical outcomes studies.
Evaluate the effectiveness of APCM and CCM programs using healthcare claims and Electronic Health Record (EHR) data.
Establish appropriate patient cohorts, comparison groups, outcome definitions, and analytical frameworks.
Quantify differences in hospitalization rates, readmissions, and post-discharge follow-up outcomes.
Develop statistically rigorous, reproducible methodologies capable of withstanding actuarial and clinical review.
Causal Inference & Advanced Statistical Modeling
Apply advanced causal inference techniques to estimate the impact of healthcare interventions.
Utilize methodologies such as propensity score matching, inverse probability weighting, difference-in-differences, and other appropriate quasi-experimental approaches.
Identify and address confounding variables, selection bias, and other limitations associated with observational healthcare data.
Develop high-dimensional statistical matching approaches for large, complex datasets.
Conduct sensitivity analyses and validate the robustness of research findings.
Healthcare Data Analysis & Technical Execution
Analyze complex healthcare claims, EHR, and patient utilization datasets.
Develop and maintain analytical workflows using Python, R, and SQL.
Work within existing data environments that may include dbt, Amazon Redshift, and Looker.
Ensure data integrity, analytical reproducibility, and compliance with applicable PHI security requirements.
Produce well-documented analytical code and reporting assets for internal stakeholders.
Stakeholder Collaboration & Reporting
Collaborate directly with the Director of Business Intelligence and other internal stakeholders.
Engage with healthcare clients, clinical leadership, and actuarial teams to align research methodologies and outcome measures.
Present statistical findings and clinical outcomes in a clear, actionable format.
Develop executive-ready presentations, reports, and supporting documentation.
Translate complex analytical findings into meaningful business and clinical insights.
Vendor Deliverable Review & Knowledge Transfer
Review and assess analytical deliverables produced by previous external vendors.
Identify usable methodologies, data assets, and findings that can be incorporated into ongoing research.
Recommend improvements to existing analytical processes and study designs.
Document methodologies and transfer knowledge to the internal Business Intelligence team.
Required Qualifications
Extensive professional experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.
Demonstrated expertise in causal inference and observational study design.
Proven experience evaluating healthcare interventions and measuring clinical outcomes.
Strong proficiency in Python, R, and SQL.
Experience analyzing large-scale healthcare claims and EHR datasets.
Deep understanding of propensity score matching, quasi-experimental research methodologies, statistical validation, and confounding adjustment.
Ability to independently design and execute technically sophisticated analytical studies.
Experience developing statistical methodologies suitable for rigorous clinical, actuarial, or external stakeholder review.
Strong understanding of healthcare data privacy, HIPAA, and protected health information requirements.
Excellent communication skills, including the ability to present complex findings to nontechnical stakeholders.
Advanced degree in Statistics, Data Science, Biostatistics, Epidemiology, Health Economics, or a closely related quantitative discipline.
Preferred Qualifications
Previous experience as a Health Economics and Outcomes Research (HEOR) Consultant, Principal Data Scientist, or Lead Biostatistician.
Experience evaluating chronic care management, population health, value-based care, or Medicare-related programs.
Familiarity with APCM, CCM, and healthcare reimbursement models.
Experience working with healthcare actuaries or validating analytical methodologies for actuarial review.
Knowledge of dbt, Amazon Redshift, and Looker.
Experience supporting health-tech startups or rapidly growing healthcare technology companies.
Strong consulting background with the ability to deliver results independently.
Experience developing executive-level clinical outcomes presentations and client-facing research reports.
Contract Details & Compensation
Hourly Rate: $150 per hour.
Engagement Type: 1099 independent contractor or W-2 contract.
Initial Commitment: Approximately 10–15 hours per week.
Growth Opportunity: Potential to increase weekly hours as project requirements evolve.
Work Arrangement: Fully remote.
Schedule: Flexible, with availability for periodic stakeholder meetings and project discussions.
Duration: Project-based engagement with the possibility of extension.
This opportunity is particularly well suited for an experienced consultant seeking a flexible, part-time engagement while contributing to meaningful healthcare research and measurable improvements in patient outcomes.
This position is responsible for complying with all organizational security, privacy, and compliance policies applicable to the role, including separation of duties requirements, and for protecting the confidentiality, integrity, and availability of the information and systems they access.
Equal Employment Opportunity:
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.
See All 23 Remote Lead Scientist Jobs
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Find Remote Lead Scientist JobsRemote Lead Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Sports & Recreation
What Employers Look For
The qualifications that appear most often in remote lead scientist jobs.
- PhD in a relevant scientific discipline such as biology, chemistry, or biochemistry
- Five or more years of hands-on laboratory or applied research experience
- Demonstrated experience leading or mentoring a team of research scientists
- Proficiency with industry-standard analytical instruments and data analysis software
- Experience authoring scientific publications, patents, or regulatory submissions
- Familiarity with GLP, GMP, or other applicable compliance and quality frameworks
Tips for Your Remote Lead Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote lead scientist openings from across the U.S. in one place, so you can find roles that match your scientific background and apply directly without sorting through location-dependent listings mixed in.
Show your async scientific leadership style
Remote employers want proof you can lead research without real-time check-ins. Add a section to your CV or cover letter that describes how you documented decisions, ran asynchronous reviews, or moved a project forward across time zones using written updates and shared data repositories.
Build a shareable scientific portfolio
A GitHub repository, preprint server profile, or shared electronic lab notebook with well-commented protocols gives remote hiring managers something concrete to evaluate. Lead scientists who make their methodology and results easy to audit remotely clear the screening step faster than those who rely on interviews alone.
Target remote-first research organizations
Virtual CROs, fully distributed biotech startups, and technology companies with computational science teams hire lead scientists remotely far more consistently than traditional research institutions. Focusing your search on companies that describe themselves as remote-first or all-remote puts you in front of the roles most likely to stay remote long-term.
Remote Lead Scientist Jobs: Frequently Asked Questions
How do I get a remote lead scientist job?
Remote lead scientist roles go to candidates who can demonstrate scientific leadership without in-person oversight, so the strongest applicants show a clear history of driving projects from hypothesis to deliverable independently. Remote employers screen heavily for written communication, since most direction-setting happens in documents and async threads rather than whiteboard sessions. Proficiency with collaborative tools like Benchling, electronic lab notebooks, or cloud-based data platforms signals you can operate in a distributed team from day one.
Which companies hire remote lead scientists?
Companies hiring remote lead scientists right now include Tiger Analytics, MaxIT Consulting - Max Corporate, and Dynata, based on current remote listings on Migrate Mate as of November 2026. Remote-first biotech companies, virtual CROs, and technology firms with computational science teams are the most consistent sources of fully remote lead scientist openings.
Can you get a remote lead scientist job with no experience?
Yes, but remote entry-level lead scientist roles are harder to land because employers expect you to self-direct research without on-site mentorship from day one. Startups and virtual research organizations are more open to candidates who can show independent project work, published findings, graduate research, or open-source scientific contributions in place of professional experience. A strong GitHub repository of data analysis work or a preprint on a relevant topic can open doors that a bare resume cannot.
Do you need a degree for remote lead scientist jobs?
Usually, but the weight placed on specific credentials varies by sector and seniority. Most remote lead scientist postings list a bachelor's or advanced degree in a relevant scientific field as a baseline, though employers in computational biology, bioinformatics, and data science increasingly weigh demonstrated skills, published work, and results-oriented portfolios alongside formal education. Candidates who can show peer-reviewed output or measurable research outcomes often move forward even when their degree field is adjacent rather than exact.
Which industries hire the most remote lead scientists?
Remote lead scientist roles concentrate in Technology & Software, Insurance, and Sports & Recreation, based on current remote listings on Migrate Mate as of November 2026. These sectors hire lead scientists remotely because their research workflows, data analysis pipelines, and cross-functional collaboration adapt well to distributed team structures.
See All 23 Remote Lead Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Lead Scientist Jobs