Remote Health Scientist Jobs
Remote health scientist jobs are open across public health agencies, life sciences firms, federal contractors, and health technology companies, from early-career research roles to senior scientist and program lead positions. Employers hiring remote health scientists right now include New York City Department of Health and Mental Hygiene, oura, and Virta Health. See the openings below and apply to the ones that match your experience.
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Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
The Job
This role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers: clinical programs, utilization management (UM) and medical policy, payment integrity, network and contracting, benefit design, coordination of benefits (COB), and supplemental programs. The role combines strong health plan operations knowledge with data science methods and AI-enabled analytics tooling (GenAI, agentic workflows) to surface and size opportunities from claims, clinical, and contract data.
This role will collaborate with clinical, network, payment integrity, and finance stakeholders to convert analytic findings into total cost of care strategy, in support of SCAN's mission of keeping seniors healthy and independent.
You Will
1. Apply data science and analytical methods (such as segmentation, trend analysis, statistical modeling, and GenAI-enabled synthesis) to claims, clinical, and contract data to identify, size, and prioritize total cost of care (TCOC) savings opportunities across SCAN's core medical cost management levers. Illustrative examples could include:
- Utilization management (UM) and medical policy: evaluating program effectiveness, medical policy application and exception patterns, and utilization outliers
- Payment integrity: identifying claims coding, billing, and payment accuracy opportunities (e.g., DRG validation, upcoding, duplicate payment, coordination of benefits recovery)
- Network and contracting: analyzing unit cost, provider relativity, and site-of-service shift to inform contracting strategy
- Benefit design and coordination of benefits (COB): evaluating benefit changes and COB recovery opportunities for cost and member impact
- Supplemental programs: assessing utilization, cost, and return on investment
- Clinical programs: building segmentation and predictive models to prioritize cost management interventions
- AI-enabled synthesis: applying GenAI and agentic AI tools to synthesize claims, clinical, and contract data and accelerate opportunity identification
2. Leverage strong health plan operations knowledge and business acumen to identify and prioritize total cost of care opportunities based on SCAN’s highest-value medical cost management levers
3. Create requirements, test and validate analyses, communicate findings and savings opportunity sizing to Medical Economics, Finance, Network, and Clinical business partners, and support opportunity tracking through implementation.
4. Help shape and implement SCAN’s medical economics analytics and AI strategy in coordination with key stakeholders across the company. Manage multiple projects at a time based on the priorities and delivery methodologies of the Medical Economics Analytics team, while also being a mentor to other analytics practitioners.
Your Qualifications
- Bachelors Degree in statistics, mathematics, computer science, or related field required
- Graduate or Advanced Degree in statistics, mathematics, computer science, or related field required
- 3+ years working experience, preferably including healthcare industry experience
- 3+ years applying data science and analytical methods (e.g., statistical modeling, segmentation, trend analysis, machine learning, GenAI/agentic AI) to identify and quantify business or medical cost opportunities
- 1+ years of experience writing SQL code in relational database environment
- 2+ years of experience writing code in Python and/or R
- Experience with Snowflake and/or Databricks as well as Power BI.
- Experience with Streamlit or other data as a service apps, preferred
- Working knowledge of GenAI/LLM tools for synthesizing structured and unstructured health plan data (claims, clinical notes, contracts), preferred
- Experience in a Medicare Advantage or other managed care environment, preferred.
- Clinical code knowledge related to claims/utilization, preferred.
- Experience identifying and quantifying medical cost management opportunities across levers such as utilization management, medical policy, payment integrity, network/contracting, benefit design, coordination of benefits, and supplemental programs, preferred.
- Familiarity with payment integrity concepts (DRG validation, claims editing, coordination of benefits recovery, billing/coding accuracy), preferred.
- Understanding of claims and encounter data structures (837/835, UB-04, CMS-1500, DRG, revenue codes, ICD-10, CPT/HCPCS), preferred.
- Familiarity with core managed care economics (PMPM, MLR, IBNR) and total cost of care trend decomposition, preferred.
- Working knowledge of Medicare Advantage risk adjustment (HCC/RAF methodology), preferred.
- Expertise in Snowflake and Databricks for ML/AI workloads, including optimization and governance.
- Hands-on experience with LLM development (RAG, embeddings/vector databases, document summarization, chatbot/agent integration using LangChain / LangGraph or similar tools).
- Familiarity with BI tools (Power BI, Tableau, Streamlit) and integrating ML outputs for business facing solutions.
- Strong interpersonal skills, including excellent written and verbal communication skills.
- Familarity with MLOps practices, including MLflow, Azure DevOps, monitoring, and alerting.
- Ability to appropriately maintain confidentiality.
- Familiarity with Agile delivery methodologies (e.g. Scrum, SAFe)
- Working knowledge of health plan data domains (claims, encounters, eligibility, provider, authorizations, contracts) supporting total cost of care analytics.
- Fluency in managed care economics and coding conventions (PMPM, MLR, DRG, HCC/RAF) sufficient to translate model output into financial impact.
- Ability to translate medical cost management levers (UM, medical policy, payment integrity, network, benefit design, COB, supplemental programs) into analytic requirements and opportunity sizing frameworks.
- Excellent written and verbal communication skills, with ability to explain AI/ML concepts to business and technical audiences.
- Connects technical work to strategic health plan objectives, particularly total cost of care management across clinical, payment integrity, network, benefit design, and supplemental program levers
- Learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments
- Knowledge of real-world data (RWD), claims, EMR, and similar healthcare data; working fluency in health plan cost management concepts (PMPM, DRG, HCC/RAF risk adjustment, payment integrity, coordination of benefits) preferred
What's in it for you?
Base Pay Range: $106,200 to $182,983 annually
An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement
An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
#LI-JB1 #LI-Remote
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
The Job
This role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers: clinical programs, utilization management (UM) and medical policy, payment integrity, network and contracting, benefit design, coordination of benefits (COB), and supplemental programs. The role combines strong health plan operations knowledge with data science methods and AI-enabled analytics tooling (GenAI, agentic workflows) to surface and size opportunities from claims, clinical, and contract data.
This role will collaborate with clinical, network, payment integrity, and finance stakeholders to convert analytic findings into total cost of care strategy, in support of SCAN's mission of keeping seniors healthy and independent.
You Will
1. Apply data science and analytical methods (such as segmentation, trend analysis, statistical modeling, and GenAI-enabled synthesis) to claims, clinical, and contract data to identify, size, and prioritize total cost of care (TCOC) savings opportunities across SCAN's core medical cost management levers. Illustrative examples could include:
- Utilization management (UM) and medical policy: evaluating program effectiveness, medical policy application and exception patterns, and utilization outliers
- Payment integrity: identifying claims coding, billing, and payment accuracy opportunities (e.g., DRG validation, upcoding, duplicate payment, coordination of benefits recovery)
- Network and contracting: analyzing unit cost, provider relativity, and site-of-service shift to inform contracting strategy
- Benefit design and coordination of benefits (COB): evaluating benefit changes and COB recovery opportunities for cost and member impact
- Supplemental programs: assessing utilization, cost, and return on investment
- Clinical programs: building segmentation and predictive models to prioritize cost management interventions
- AI-enabled synthesis: applying GenAI and agentic AI tools to synthesize claims, clinical, and contract data and accelerate opportunity identification
2. Leverage strong health plan operations knowledge and business acumen to identify and prioritize total cost of care opportunities based on SCAN’s highest-value medical cost management levers
3. Create requirements, test and validate analyses, communicate findings and savings opportunity sizing to Medical Economics, Finance, Network, and Clinical business partners, and support opportunity tracking through implementation.
4. Help shape and implement SCAN’s medical economics analytics and AI strategy in coordination with key stakeholders across the company. Manage multiple projects at a time based on the priorities and delivery methodologies of the Medical Economics Analytics team, while also being a mentor to other analytics practitioners.
Your Qualifications
- Bachelors Degree in statistics, mathematics, computer science, or related field required
- Graduate or Advanced Degree in statistics, mathematics, computer science, or related field required
- 3+ years working experience, preferably including healthcare industry experience
- 3+ years applying data science and analytical methods (e.g., statistical modeling, segmentation, trend analysis, machine learning, GenAI/agentic AI) to identify and quantify business or medical cost opportunities
- 1+ years of experience writing SQL code in relational database environment
- 2+ years of experience writing code in Python and/or R
- Experience with Snowflake and/or Databricks as well as Power BI.
- Experience with Streamlit or other data as a service apps, preferred
- Working knowledge of GenAI/LLM tools for synthesizing structured and unstructured health plan data (claims, clinical notes, contracts), preferred
- Experience in a Medicare Advantage or other managed care environment, preferred.
- Clinical code knowledge related to claims/utilization, preferred.
- Experience identifying and quantifying medical cost management opportunities across levers such as utilization management, medical policy, payment integrity, network/contracting, benefit design, coordination of benefits, and supplemental programs, preferred.
- Familiarity with payment integrity concepts (DRG validation, claims editing, coordination of benefits recovery, billing/coding accuracy), preferred.
- Understanding of claims and encounter data structures (837/835, UB-04, CMS-1500, DRG, revenue codes, ICD-10, CPT/HCPCS), preferred.
- Familiarity with core managed care economics (PMPM, MLR, IBNR) and total cost of care trend decomposition, preferred.
- Working knowledge of Medicare Advantage risk adjustment (HCC/RAF methodology), preferred.
- Expertise in Snowflake and Databricks for ML/AI workloads, including optimization and governance.
- Hands-on experience with LLM development (RAG, embeddings/vector databases, document summarization, chatbot/agent integration using LangChain / LangGraph or similar tools).
- Familiarity with BI tools (Power BI, Tableau, Streamlit) and integrating ML outputs for business facing solutions.
- Strong interpersonal skills, including excellent written and verbal communication skills.
- Familarity with MLOps practices, including MLflow, Azure DevOps, monitoring, and alerting.
- Ability to appropriately maintain confidentiality.
- Familiarity with Agile delivery methodologies (e.g. Scrum, SAFe)
- Working knowledge of health plan data domains (claims, encounters, eligibility, provider, authorizations, contracts) supporting total cost of care analytics.
- Fluency in managed care economics and coding conventions (PMPM, MLR, DRG, HCC/RAF) sufficient to translate model output into financial impact.
- Ability to translate medical cost management levers (UM, medical policy, payment integrity, network, benefit design, COB, supplemental programs) into analytic requirements and opportunity sizing frameworks.
- Excellent written and verbal communication skills, with ability to explain AI/ML concepts to business and technical audiences.
- Connects technical work to strategic health plan objectives, particularly total cost of care management across clinical, payment integrity, network, benefit design, and supplemental program levers
- Learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments
- Knowledge of real-world data (RWD), claims, EMR, and similar healthcare data; working fluency in health plan cost management concepts (PMPM, DRG, HCC/RAF risk adjustment, payment integrity, coordination of benefits) preferred
What's in it for you?
Base Pay Range: $106,200 to $182,983 annually
An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement
An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
#LI-JB1 #LI-Remote
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
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Find roles that match your experience and apply in just a few clicks.
Find Remote Health Scientist JobsRemote Health Scientist Job Market
Who's Hiring
Top Industries Hiring
- Insurance
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote health scientist jobs.
- Bachelor's or master's degree in public health, biology, epidemiology, or a related science field
- Experience designing or conducting epidemiological, environmental, or clinical research studies
- Proficiency in statistical analysis software such as SAS, R, SPSS, or Stata
- Ability to interpret and communicate complex scientific data to non-specialist audiences
- Familiarity with federal or state public health regulations, reporting standards, and surveillance systems
- Experience preparing scientific reports, manuscripts, grant applications, or regulatory submissions
Tips for Your Remote Health Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote health scientist openings from across the U.S. in one place. Search roles by specialty or sector, review the requirements, and apply directly to the ones that match your background before competition builds.
Show your async communication skills upfront
Remote health scientist teams rely on written updates, shared documents, and clear email threads instead of hallway conversations. Rewrite your cover letter to highlight async collaboration, documentation habits, and experience reporting findings to distributed stakeholders.
Build a portfolio of independent research work
Remote employers can't observe your day-to-day judgment, so they look for evidence you can drive a project without supervision. Compile past reports, data analyses, or policy briefs you authored independently, and make them easy to share during screening.
Target sectors with distributed health science teams
Federal contractors, life sciences companies, and health technology firms maintain established remote infrastructure for health scientists. Focusing your search on employers in those sectors puts you in front of hiring managers already comfortable managing remote scientists.
Remote Health Scientist Jobs: Frequently Asked Questions
How do I get a remote health scientist job?
Target employers who already run distributed science teams, including federal contractors, public health nonprofits, and health technology companies with remote-first cultures. Remote hiring managers screen for strong written communication, the ability to manage projects independently without in-person oversight, and proficiency with collaboration tools like Slack, Zoom, and shared data platforms. Candidates who highlight self-directed research experience and clear async documentation habits stand out.
Which companies hire remote health scientists?
Companies hiring remote health scientists right now include New York City Department of Health and Mental Hygiene, oura, and Virta Health, based on current remote listings on Migrate Mate as of November 2026. Remote health scientist roles concentrate at federal contractors, life sciences companies, public health research organizations, and health IT firms that maintain distributed teams across the country.
Can you get a remote health scientist job with no experience?
Yes, but remote entry-level health scientist roles are harder to land because employers expect you to work independently from day one with minimal supervision. Your best path is through public health research organizations, government contractors with training pipelines, or health tech companies that hire junior analysts. A strong portfolio of academic research projects, published reports, or volunteer data work can open doors in place of direct job experience.
Do you need a degree for remote health scientist jobs?
Usually, yes. Most remote health scientist roles require at least a bachelor's degree in public health, biology, epidemiology, or a related field, and many senior roles expect a master's or doctorate. That said, remote employers weigh demonstrated skills alongside credentials, so applied research experience, proficiency with statistical software like SAS or R, and a portfolio of real analytical work can strengthen a candidacy alongside a degree.
Which industries hire the most remote health scientists?
Most remote health scientist openings sit in Insurance and Healthcare & Medical Services, per current remote listings on Migrate Mate as of November 2026. These sectors hire health scientists remotely because their work is data-driven and document-centric, making it well-suited for distributed teams that collaborate asynchronously across time zones.
See All 7 Remote Health Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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