18 Healthcare Leadership jobs in India

Job Purpose

Responsible for:

• Execution of research projects (including approvals, fieldwork, research design, analysis, report writing, hiring, etc.)
• Identification of relevant grants and lead grants writing (content and budgets)
• Support writing of peer-reviewed articles, non-academic white papers, unpublished technical reports, management briefs, opinion and editorial pieces for academicians, practitioners, and policymakers from research projects.
• Coordinating with external stakeholders such as funders, collaborators, government agencies, vendors, consultants, data collection agencies, IRB boards, and industry partners/leaders.

Job Outline

The job holder will carry out the following activities:

Research support and management

• Collaborate with Investigators (PI and Co-PI) on study design, preparation of IRB applications, data collection, analysis, and report writing.
• Lead and support the writing of grant applications, peer-reviewed articles, non-academic whitepapers, unpublished technical reports
• Hire and onboard team members for the effective execution of research activities.
• Manage project timelines and maintain communications with all internal and external stakeholders; Ensure systematic documentation on project history, progress, deviations, and key decisions.
• Assist in preparing detailed budgets and work plans with the finance team, PIs, administrative teams, and external stakeholders for overall grant management.
• Work across projects to flag problems of delays, deviation from research protocols, overspending, data issues, or other threats to the quality and integrity of research activities and recommend solutions.
• Managing briefs, opinion and editorial pieces for practitioners and policymakers.
• Provide support in preparing proposals for external research grants, including narrative documents and budgets.
• Provide support on the management of relationships with philanthropic foundations, international funding agencies, and multilateral donors.

About MIHM

Max Institute of Healthcare Management (MIHM) at the Indian School of Business (ISB) is an interdisciplinary research centre that provides deep insights on healthcare delivery and management to policymakers, public institutions, and corporates, and enables the creation of better health systems through the integrated elements of research, education, and outreach. MIHM’s research is focused on the areas of (a) Public health issues of antimicrobial resistance, mental health and climate change and their intersection with gender, (b) Health system management, (c) Innovation and entrepreneurship, (d) Financing and public policy, and (e) Patient-centricity / health behaviour.

Research at MIHM includes the study of the impact of health system design on population-level health outcomes, the role of incentives in healthcare delivery, application of behavioural economics to promote wellness and healthy behaviour, leadership and change management in healthcare delivery institutions, innovation, and scalability of social ventures in healthcare, and use of technology in creating new models of healthcare delivery. Supporters and collaborators of MIHM include the Bill & Melinda Gates Foundation, London School of Hygiene and Tropical Medicine, Centre for Global Development Europe, National Institute of Nutrition,

PATH, Resolve to Save Lives, The Rockefeller Foundation, Clinton Health Access Initiative, and World Health Partners, among others.

Job Specification

Knowledge / Education

• Postgraduate degree in Economics / Public Policy / Public Health / Health Policy

Specific Skills

• Experience in quantitative research methodologies such as econometric/regression modelling, statistical analysis, simulations, etc. (expertise in at least one of these is mandatory)

• Expertise in tools such as STATA, R, Python (understanding of at least one of these is mandatory)

• Minimum of one year of project management experience, including conducting and supervising research activities (data collection, data management); and supervising research teams

Desirable skills/Experience

• Publications in relevant peer-reviewed journals
• Demonstrated experience in writing project proposals and/or grants
• Ability to prioritize effectively and successfully handle multiple projects simultaneously
• Excellent attention to detail, with a focus on high-quality outputs
• Ability to work independently and problem-solve, as well as enlist the support of relevant research or administrative teams
• Strong written and oral communication skills

Job Interface/Relationships:

Internal

• Within MIHM: Principal Research Scientist (Dr. Deepshikha Batheja), Executive Director (Prof. Sarang Deo), Analysts, Manager, Associate – Admin
• Outside MIHM: Faculty, Finance, Commercials, Legal, LRC

External

• Funders, Vendors, Consultants, Data collection agencies, IRB boards, Government agencies, Industry partners/leaders

Key Responsibilities and % Time Spent

Technical support for research projects (research design, approvals, protocols, data analysis, scientific writing, etc.) - 30%

Management of research teams and stakeholders (hiring, capacity-building, coordination, and communications) - 30%

Identifying relevant grant opportunities and proposal writing (content and budgets) - 30%

Support content creation from research projects - 10%

Total Time Spent on All Responsibilities - 100%

Job Purpose

Responsible for:

• Execution of research projects (including approvals, fieldwork, research design, analysis, report writing, hiring, etc.)
• Identification of relevant grants and lead grants writing (content and budgets)
• Support writing of peer-reviewed articles, non-academic white papers, unpublished technical reports, management briefs, opinion and editorial pieces for academicians, practitioners, and policymakers from research projects.
• Coordinating with external stakeholders such as funders, collaborators, government agencies, vendors, consultants, data collection agencies, IRB boards, and industry partners/leaders.

Job Outline

The job holder will carry out the following activities:

Research support and management

• Collaborate with Investigators (PI and Co-PI) on study design, preparation of IRB applications, data collection, analysis, and report writing.
• Lead and support the writing of grant applications, peer-reviewed articles, non-academic whitepapers, unpublished technical reports
• Hire and onboard team members for the effective execution of research activities.
• Manage project timelines and maintain communications with all internal and external stakeholders; Ensure systematic documentation on project history, progress, deviations, and key decisions.
• Assist in preparing detailed budgets and work plans with the finance team, PIs, administrative teams, and external stakeholders for overall grant management.
• Work across projects to flag problems of delays, deviation from research protocols, overspending, data issues, or other threats to the quality and integrity of research activities and recommend solutions.
• Managing briefs, opinion and editorial pieces for practitioners and policymakers.
• Provide support in preparing proposals for external research grants, including narrative documents and budgets.
• Provide support on the management of relationships with philanthropic foundations, international funding agencies, and multilateral donors.

About MIHM

Max Institute of Healthcare Management (MIHM) at the Indian School of Business (ISB) is an interdisciplinary research centre that provides deep insights on healthcare delivery and management to policymakers, public institutions, and corporates, and enables the creation of better health systems through the integrated elements of research, education, and outreach. MIHM’s research is focused on the areas of (a) Public health issues of antimicrobial resistance, mental health and climate change and their intersection with gender, (b) Health system management, (c) Innovation and entrepreneurship, (d) Financing and public policy, and (e) Patient-centricity / health behaviour.

Research at MIHM includes the study of the impact of health system design on population-level health outcomes, the role of incentives in healthcare delivery, application of behavioural economics to promote wellness and healthy behaviour, leadership and change management in healthcare delivery institutions, innovation, and scalability of social ventures in healthcare, and use of technology in creating new models of healthcare delivery. Supporters and collaborators of MIHM include the Bill & Melinda Gates Foundation, London School of Hygiene and Tropical Medicine, Centre for Global Development Europe, National Institute of Nutrition,

PATH, Resolve to Save Lives, The Rockefeller Foundation, Clinton Health Access Initiative, and World Health Partners, among others.

Job Specification

Knowledge / Education

• Postgraduate degree in Economics / Public Policy / Public Health / Health Policy

Specific Skills

• Experience in quantitative research methodologies such as econometric/regression modelling, statistical analysis, simulations, etc. (expertise in at least one of these is mandatory)

• Expertise in tools such as STATA, R, Python (understanding of at least one of these is mandatory)

• Minimum of one year of project management experience, including conducting and supervising research activities (data collection, data management); and supervising research teams

Desirable skills/Experience

• Publications in relevant peer-reviewed journals
• Demonstrated experience in writing project proposals and/or grants
• Ability to prioritize effectively and successfully handle multiple projects simultaneously
• Excellent attention to detail, with a focus on high-quality outputs
• Ability to work independently and problem-solve, as well as enlist the support of relevant research or administrative teams
• Strong written and oral communication skills

Job Interface/Relationships:

Internal

• Within MIHM: Principal Research Scientist (Dr. Deepshikha Batheja), Executive Director (Prof. Sarang Deo), Analysts, Manager, Associate – Admin
• Outside MIHM: Faculty, Finance, Commercials, Legal, LRC

External

• Funders, Vendors, Consultants, Data collection agencies, IRB boards, Government agencies, Industry partners/leaders

Key Responsibilities and % Time Spent

Technical support for research projects (research design, approvals, protocols, data analysis, scientific writing, etc.) - 30%

Management of research teams and stakeholders (hiring, capacity-building, coordination, and communications) - 30%

Identifying relevant grant opportunities and proposal writing (content and budgets) - 30%

Support content creation from research projects - 10%

Total Time Spent on All Responsibilities - 100%

Qualifications:
At least Completed 2 years in College with 12 months and up of healthcare experience under claims and accounts receivable
Can start ASAP
Amendable to work onsite 

Salary: Up to P32,000

70% Non voice
Non Taxable Allowance 
HMO
Night Differential
Employee Benefits

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM), which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursedDuration: Full TimeAbout Big Rio:Big Rio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, Big Rio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.About JobWe are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM), which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.About YouYou’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.About the TeamOur RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.Key ResponsibilitiesIdentify opportunities to apply machine learning to RCM workflows.Design, develop, and deploy ML-based production services.Adhere to and advocate for best practices in model development and engineering.Conduct rigorous testing and validation of models and code.Contribute to the development of internal tools and team standards.QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.3–5 years of hands-on experience building, evaluating, and deploying ML models.Strong programming skills in Python, with proficiency in SQL and Unix environments.Experience with deep learning and neural network architectures (preferred).Familiarity with training and fine-tuning LLMs or generative AI models (bonus).Exposure to NLP or computer vision is a plus.Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.Excellent communication skills, both written and verbal.Equal Opportunity StatementBig Rio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. Big Rio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.