Remote India Data scientist Jobs – 115 Open Jobs Today

Population Health & Healthcare Analytics Analyst – India
Minerra Health —Remote
- ₹14,24,033 - ₹28,48,066 a year
- Full-time
- Remote
- Research
- Master's degree
- SQL
Quick apply
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AI Implementation Engineer – Entry Level / Graduate
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IITIL —Remote
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UniAthena —Remote
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Nistulagifts —Remote
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Staff Machine Learning Engineer (Employer of Record)
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Websenor —Remote
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Marketing Analytics Executive/Head
IITIL —Remote
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Freelance Trainer – AI for Predictive Maintenance and Smart Manufacturing
TGC India —Remote
- ₹9,374.19 - ₹30,000.00 a month
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- Azure
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- Master's degree
- Flexible schedule
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Machine Learning (ML) Engineer
Futops Technologies India Pvt. Ltd —Remote
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Population Health & Healthcare Analytics Analyst – India

Minerra Health
Remote

Quick apply

Job details

Full-time
₹14,24,033 - ₹28,48,066 a year
4 days ago

Qualifications

Power BI
Economics
R
Research
Tableau
Master's degree
SQL
Analysis skills
Presentation skills
Bachelor's degree
Data science
AI
Python
Analytics

Full job description

Role Overview

Minerra Health is seeking a Population Health & Healthcare Analytics Analyst to support population health research, patient risk stratification, ROI modeling, healthcare analytics, and business research across our obesity and metabolic health platform.

The role will work closely with Minerra’s Product, Clinical, Data, Client Success, and Commercial teams to analyze healthcare populations, identify risk and care opportunities, evaluate clinical and financial outcomes, and translate data into actionable insights.

Experience in healthcare, obesity, metabolic health, diabetes, or chronic disease management is preferred.

Key Responsibilities

Population Health & Risk Stratification

Analyze clinical, demographic, behavioral, engagement, utilization, and socioeconomic data.
Support development and refinement of patient/member risk-stratification models.
Identify population segments requiring different levels of clinical or engagement intervention.
Analyze factors influencing treatment adherence, care progression, disengagement, and healthcare utilization.
Support cohort, segmentation, trend, and longitudinal analyses.

ROI & Outcomes Modeling

Support development of ROI, cost-impact, and total-cost-of-care models for employers, payers, and health systems.
Analyze program impact across healthcare utilization, medical and pharmacy costs, engagement, and clinical outcomes.
Conduct scenario and sensitivity analyses.
Research and validate assumptions used in economic and outcomes models.
Support preparation of client-facing value and outcomes analyses.

Population Health & SDOH Research

Conduct research on obesity, metabolic disease, chronic conditions, healthcare utilization, and treatment pathways.
Analyze Social Determinants of Health (SDOH) and barriers to access, engagement, and treatment.
Perform literature reviews, competitive research, and healthcare market research.
Support qualitative research including surveys, interviews, and stakeholder feedback.
Summarize research findings into clear recommendations for internal and external stakeholders.

Data Analytics & Reporting

Perform quantitative and qualitative analysis across healthcare datasets.
Work with claims, pharmacy, clinical, EHR, eligibility, engagement, and operational data where available.
Develop analytical datasets, dashboards, reports, and visualizations.
Support definition and tracking of program KPIs and outcomes.
Partner with Product, Data, and Engineering teams to translate analytical requirements into scalable technology and reporting capabilities.

Qualifications

2–5 years of experience in healthcare analytics, population health, healthcare research, health economics, consulting, data analytics, or a related field.
Strong analytical and problem-solving skills.
Experience with quantitative and qualitative research methods.
Understanding of: Population health, Risk stratification, healthcare outcomes, ROI/economic modeling, and Social Determinants of Health
Strong skills in Excel and at least one analytical tool such as SQL, Python, R, Power BI, Tableau, or similar.
Ability to analyze complex information and communicate findings clearly.
Strong research, documentation, and presentation skills.

Preferred Experience

Experience in obesity, metabolic health, diabetes, cardiovascular disease, or chronic-condition management.
Experience with U.S. healthcare, including employers, payers, health systems, or digital-health programs.
Familiarity with claims, pharmacy, clinical, or healthcare utilization data.
Exposure to health economics, outcomes research, predictive analytics, or healthcare AI/ML.
Bachelor’s or Master’s degree in Public Health, Health Economics, Epidemiology, Biostatistics, Data Science, Health Informatics, Healthcare Management, or a related field.

Working Model

India-based role supporting Minerra’s U.S. and India teams.
Collaboration with Product, Clinical, Data, Engineering, Client Success, and Commercial teams.
Some overlap with U.S. Eastern Time will be required for key meetings and project collaboration.

What Success Looks Like

High-quality population and healthcare analyses that support clinical and business decisions.
Reliable risk-stratification and segmentation analyses.
Clear and defensible ROI and outcomes models.
Research that strengthens Minerra’s product, clinical, and commercial strategy.
Analytical insights that can be incorporated into Minerra’s reporting, decisioning, and technology platforms.

Pay: ₹1,424,033.00 - ₹2,848,066.00 per year

Application Question(s):

How many years of experience do you have in healthcare analytics, population health, health economics, or healthcare research?
Have you worked with healthcare datasets such as claims, pharmacy, clinical, EHR, or utilization data?

Have you supported ROI, cost-impact, or total-cost-of-care modeling?

Do you have experience with patient/member risk stratification or population segmentation?
Have you conducted research or analysis related to Social Determinants of Health?
Which analytical tools do you use: Excel, SQL, Python, R, Power BI, Tableau?
Have you worked in obesity, metabolic health, diabetes, cardiovascular disease, or chronic-condition management?
Have you supported U.S. healthcare clients such as employers, payers, health systems, or digital-health companies?
Are you comfortable collaborating with U.S.-based teams with some overlap with U.S. Eastern Time?

Work Location: Remote

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