34 Healthcare Organizations jobs in India
Research Associate in Max Institute of Healthcare Management
Posted 1 day ago
Job Viewed
Job Description
Job Purpose
Responsible for developing and overseeing trial protocols, coordinating data collection, and supporting the team in other research activities such as data cleaning, analysis, and writing manuscripts.
Job Outline
The Research Associate position provides an excellent opportunity to gain extensive hands‐on field research experience and significant management responsibility in a Tuberculosis care-related project.
The Research Associate will be responsible for (i) overseeing the implementation of trial protocols, (ii) overseeing collection of program data, (iii) training and managing survey teams, (iv) supervising logistics for field activities, (v) cleaning and analyzing survey data, (vi) assisting in the writing of project reports and policy memos,(vii) liaising with key government stakeholders and (viii) Monitoring and reviewing databases and rectifying errors or inconsistencies. The work will enhance your analytical and management skills and require your full commitment in a challenging environment.
About the project : A randomized control trial funded by The Bill and Melinda Gates Foundation to study
the impact of different digital adherence monitoring technologies (such as 99DOTS and MERM) deployed by the National TB program. The primary objective is to study how these monitoring methods impact patient adherence and clinical outcomes. The trial will involve the implementation of specific interventions, develop tools for primary data (interviews), and collect secondary programmatic data to estimate the impact of the interventions. Qualitative research will be conducted integrating all data sources to understand and explain the behavioral mechanisms driving impact and how to optimize interventions for patients and the health system. In addition, the study will also incorporate a Costing exercise and a Time-and-Motion study to estimate the cost and resource requirements of implementing different adherence technologies.
Job Specification
Knowledge / Education
- Master’s degree in public health/economics / public policy/epidemiology / development studies/management with healthcare sector experience
- Graduates from other disciplines may also be considered if they have relevant experience and can demonstrate the relevant skills
Specific Skills
- Excellent project management and organizational skills
- Meticulous attention to detail
- Ability to plan tasks for teams, monitor progress, make corrections to plans
- Strong budget management skills required
- Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
- Capability to manage multiple tasks efficiently
- Must be able to work under pressure and meet deadlines, while maintaining a positive attitude
- Excellent verbal and written communication skills in (1) English, and (2) Hindi (3) Working knowledge of Punjabi desirable for Punjab location.
- Strong knowledge of MS Excel required; programming and other technical knowledge is a strong plus
- Demonstrated ability to manage relationships with partner organizations
- Willingness to frequently travel within study site
Desirable Experience
1. At least 2 years of work experience, preferably in healthcare
2. Candidates with prior experience with randomized controlled trials will be given strong preference
Job Interface/Relationships:
Internal
- MIHM Research and Admin team
- Other departments including Grants, Finance, Legal, and IT.
External
- Grantor research/programme team
- Vendors & Consultants
- Sub-grantees/data collection agencies
- IRB Boards, governments, other stakeholders
Key Responsibilities
- Develop and oversee compliance with RCT protocols
- Designing and implementing data quality assurance systems and protocols to ensure high-quality data collection
- Coordinating with internal and external stakeholders and supervising the data collection team to ensure smooth running of the trial
- Training, and managing the data collection team that will conduct the data collections
- Work with data sets, cleaning and running checks to spot errors, and generally preparing data for analysis using MS Excel
- Support the research team to analyze the data and interpret the findings
- Support in writing progress reports and other outputs
- Manage the budget including tracking all expenses to ensure costs are within project funds
Any Other Significant Input
Send an email to with the subject line “Application for Research Associate 2025” with a copy of your CV and academic transcripts. Any evidence of written work and references by academics would be a strong positive. Applications will be reviewed until the position is filled. You will be contacted only in case you are shortlisted for an interview.
Research Associate in Max Institute of Healthcare Management
Posted 2 days ago
Job Viewed
Job Description
Responsible for developing and overseeing trial protocols, coordinating data collection, and supporting the team in other research activities such as data cleaning, analysis, and writing manuscripts.
Job Outline
The Research Associate position provides an excellent opportunity to gain extensive hands‐on field research experience and significant management responsibility in a Tuberculosis care-related project.
The Research Associate will be responsible for (i) overseeing the implementation of trial protocols, (ii) overseeing collection of program data, (iii) training and managing survey teams, (iv) supervising logistics for field activities, (v) cleaning and analyzing survey data, (vi) assisting in the writing of project reports and policy memos,(vii) liaising with key government stakeholders and (viii) Monitoring and reviewing databases and rectifying errors or inconsistencies. The work will enhance your analytical and management skills and require your full commitment in a challenging environment.
About the project : A randomized control trial funded by The Bill and Melinda Gates Foundation to study
the impact of different digital adherence monitoring technologies (such as 99DOTS and MERM) deployed by the National TB program. The primary objective is to study how these monitoring methods impact patient adherence and clinical outcomes. The trial will involve the implementation of specific interventions, develop tools for primary data (interviews), and collect secondary programmatic data to estimate the impact of the interventions. Qualitative research will be conducted integrating all data sources to understand and explain the behavioral mechanisms driving impact and how to optimize interventions for patients and the health system. In addition, the study will also incorporate a Costing exercise and a Time-and-Motion study to estimate the cost and resource requirements of implementing different adherence technologies.
Job Specification
Knowledge / Education
Master’s degree in public health/economics / public policy/epidemiology / development studies/management with healthcare sector experience
Graduates from other disciplines may also be considered if they have relevant experience and can demonstrate the relevant skills
Specific Skills
Excellent project management and organizational skills
Meticulous attention to detail
Ability to plan tasks for teams, monitor progress, make corrections to plans
Strong budget management skills required
Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
Capability to manage multiple tasks efficiently
Must be able to work under pressure and meet deadlines, while maintaining a positive attitude
Excellent verbal and written communication skills in (1) English, and (2) Hindi (3) Working knowledge of Punjabi desirable for Punjab location.
Strong knowledge of MS Excel required; programming and other technical knowledge is a strong plus
Demonstrated ability to manage relationships with partner organizations
Willingness to frequently travel within study site
Desirable Experience
1. At least 2 years of work experience, preferably in healthcare
2. Candidates with prior experience with randomized controlled trials will be given strong preference
Job Interface/Relationships:
Internal
MIHM Research and Admin team
Other departments including Grants, Finance, Legal, and IT.
External
Grantor research/programme team
Vendors & Consultants
Sub-grantees/data collection agencies
IRB Boards, governments, other stakeholders
Key Responsibilities
Develop and oversee compliance with RCT protocols
Designing and implementing data quality assurance systems and protocols to ensure high-quality data collection
Coordinating with internal and external stakeholders and supervising the data collection team to ensure smooth running of the trial
Training, and managing the data collection team that will conduct the data collections
Work with data sets, cleaning and running checks to spot errors, and generally preparing data for analysis using MS Excel
Support the research team to analyze the data and interpret the findings
Support in writing progress reports and other outputs
Manage the budget including tracking all expenses to ensure costs are within project funds
Any Other Significant Input
Send an email to with the subject line “Application for Research Associate 2025” with a copy of your CV and academic transcripts. Any evidence of written work and references by academics would be a strong positive. Applications will be reviewed until the position is filled. You will be contacted only in case you are shortlisted for an interview.
Research Associate in Max Institute of Healthcare Management
Posted 6 days ago
Job Viewed
Job Description
Job Purpose
Responsible for developing and overseeing trial protocols, coordinating data collection, and supporting the team in other research activities such as data cleaning, analysis, and writing manuscripts.
Job Outline
The Research Associate position provides an excellent opportunity to gain extensive hands‐on field research experience and significant management responsibility in a Tuberculosis care-related project.
The Research Associate will be responsible for (i) overseeing the implementation of trial protocols, (ii) overseeing collection of program data, (iii) training and managing survey teams, (iv) supervising logistics for field activities, (v) cleaning and analyzing survey data, (vi) assisting in the writing of project reports and policy memos,(vii) liaising with key government stakeholders and (viii) Monitoring and reviewing databases and rectifying errors or inconsistencies. The work will enhance your analytical and management skills and require your full commitment in a challenging environment.
About the project : A randomized control trial funded by The Bill and Melinda Gates Foundation to study
the impact of different digital adherence monitoring technologies (such as 99DOTS and MERM) deployed by the National TB program. The primary objective is to study how these monitoring methods impact patient adherence and clinical outcomes. The trial will involve the implementation of specific interventions, develop tools for primary data (interviews), and collect secondary programmatic data to estimate the impact of the interventions. Qualitative research will be conducted integrating all data sources to understand and explain the behavioral mechanisms driving impact and how to optimize interventions for patients and the health system. In addition, the study will also incorporate a Costing exercise and a Time-and-Motion study to estimate the cost and resource requirements of implementing different adherence technologies.
Job Specification
Knowledge / Education
- Master’s degree in public health/economics / public policy/epidemiology / development studies/management with healthcare sector experience
- Graduates from other disciplines may also be considered if they have relevant experience and can demonstrate the relevant skills
Specific Skills
- Excellent project management and organizational skills
- Meticulous attention to detail
- Ability to plan tasks for teams, monitor progress, make corrections to plans
- Strong budget management skills required
- Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
- Capability to manage multiple tasks efficiently
- Must be able to work under pressure and meet deadlines, while maintaining a positive attitude
- Excellent verbal and written communication skills in (1) English, and (2) Hindi (3) Working knowledge of Punjabi desirable for Punjab location.
- Strong knowledge of MS Excel required; programming and other technical knowledge is a strong plus
- Demonstrated ability to manage relationships with partner organizations
- Willingness to frequently travel within study site
Desirable Experience
1. At least 2 years of work experience, preferably in healthcare
2. Candidates with prior experience with randomized controlled trials will be given strong preference
Job Interface/Relationships:
Internal
- MIHM Research and Admin team
- Other departments including Grants, Finance, Legal, and IT.
External
- Grantor research/programme team
- Vendors & Consultants
- Sub-grantees/data collection agencies
- IRB Boards, governments, other stakeholders
Key Responsibilities
- Develop and oversee compliance with RCT protocols
- Designing and implementing data quality assurance systems and protocols to ensure high-quality data collection
- Coordinating with internal and external stakeholders and supervising the data collection team to ensure smooth running of the trial
- Training, and managing the data collection team that will conduct the data collections
- Work with data sets, cleaning and running checks to spot errors, and generally preparing data for analysis using MS Excel
- Support the research team to analyze the data and interpret the findings
- Support in writing progress reports and other outputs
- Manage the budget including tracking all expenses to ensure costs are within project funds
Any Other Significant Input
Send an email to with the subject line “Application for Research Associate 2025” with a copy of your CV and academic transcripts. Any evidence of written work and references by academics would be a strong positive. Applications will be reviewed until the position is filled. You will be contacted only in case you are shortlisted for an interview.
Research Associate in Max Institute of Healthcare Management
Posted today
Job Viewed
Job Description
Job Purpose
Responsible for developing and overseeing trial protocols, coordinating data collection, and supporting the team in other research activities such as data cleaning, analysis, and writing manuscripts.
Job Outline
The Research Associate position provides an excellent opportunity to gain extensive hands‐on field research experience and significant management responsibility in a Tuberculosis care-related project.
The Research Associate will be responsible for (i) overseeing the implementation of trial protocols, (ii) overseeing collection of program data, (iii) training and managing survey teams, (iv) supervising logistics for field activities, (v) cleaning and analyzing survey data, (vi) assisting in the writing of project reports and policy memos,(vii) liaising with key government stakeholders and (viii) Monitoring and reviewing databases and rectifying errors or inconsistencies. The work will enhance your analytical and management skills and require your full commitment in a challenging environment.
About the project : A randomized control trial funded by The Bill and Melinda Gates Foundation to study
the impact of different digital adherence monitoring technologies (such as 99DOTS and MERM) deployed by the National TB program. The primary objective is to study how these monitoring methods impact patient adherence and clinical outcomes. The trial will involve the implementation of specific interventions, develop tools for primary data (interviews), and collect secondary programmatic data to estimate the impact of the interventions. Qualitative research will be conducted integrating all data sources to understand and explain the behavioral mechanisms driving impact and how to optimize interventions for patients and the health system. In addition, the study will also incorporate a Costing exercise and a Time-and-Motion study to estimate the cost and resource requirements of implementing different adherence technologies.
Job Specification
Knowledge / Education
- Master’s degree in public health/economics / public policy/epidemiology / development studies/management with healthcare sector experience
- Graduates from other disciplines may also be considered if they have relevant experience and can demonstrate the relevant skills
Specific Skills
- Excellent project management and organizational skills
- Meticulous attention to detail
- Ability to plan tasks for teams, monitor progress, make corrections to plans
- Strong budget management skills required
- Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
- Capability to manage multiple tasks efficiently
- Must be able to work under pressure and meet deadlines, while maintaining a positive attitude
- Excellent verbal and written communication skills in (1) English, and (2) Hindi (3) Working knowledge of Punjabi desirable for Punjab location.
- Strong knowledge of MS Excel required; programming and other technical knowledge is a strong plus
- Demonstrated ability to manage relationships with partner organizations
- Willingness to frequently travel within study site
Desirable Experience
1. At least 2 years of work experience, preferably in healthcare
2. Candidates with prior experience with randomized controlled trials will be given strong preference
Job Interface/Relationships:
Internal
- MIHM Research and Admin team
- Other departments including Grants, Finance, Legal, and IT.
External
- Grantor research/programme team
- Vendors & Consultants
- Sub-grantees/data collection agencies
- IRB Boards, governments, other stakeholders
Key Responsibilities
- Develop and oversee compliance with RCT protocols
- Designing and implementing data quality assurance systems and protocols to ensure high-quality data collection
- Coordinating with internal and external stakeholders and supervising the data collection team to ensure smooth running of the trial
- Training, and managing the data collection team that will conduct the data collections
- Work with data sets, cleaning and running checks to spot errors, and generally preparing data for analysis using MS Excel
- Support the research team to analyze the data and interpret the findings
- Support in writing progress reports and other outputs
- Manage the budget including tracking all expenses to ensure costs are within project funds
Any Other Significant Input
Send an email to with the subject line “Application for Research Associate 2025” with a copy of your CV and academic transcripts. Any evidence of written work and references by academics would be a strong positive. Applications will be reviewed until the position is filled. You will be contacted only in case you are shortlisted for an interview.
AR Caller- US Healthcare/Denial Management
Posted 1 day ago
Job Viewed
Job Description
Hiring for AR caller profile for One of the leading MNC's.
Required 12 months of experience in AR follow-up for US healthcare.
Salary Up-to 45K In-hand
Saturday Sunday Fix Off
Both side Cabs
To Apply, Call or WhatsApp CV on ANISHA
Required Candidate profile
- Minimum 12 months of experience in AR Calling.
- Excellent communication skills, both verbal and written.
- Familiarity with medical billing and Denial Management.
Perks and benefits
Both side Cabs, Meals and Medical Insurance.
Provider Management/Healthcare Purchasing
Posted today
Job Viewed
Job Description
Management Profile: Provider Management/Healthcare Purchasing
Roles & Responsibilities:
- Tariff Negotiations and cost management
- Conducting surprise audits and checks of the claims and case to case negotiations
- Manage workload of both field and office effectively
- Experience in dealing with providers (Hospitals/Diagnostics & OPD Clinics)
- Understanding of Health Claims and claim related processes
- Good understanding of Health Insurance and related products
- Managing relationship with the providers
- Flexible to travel across locations based on the organizational requirements
- Managing internal (Claims Team, Sales and Central Teams and external stakeholders (Brokers, Channel partners & Corporates)
- Managing and controlling of cost for the portfolio assigned
- Timely reporting of business MIS and reports to leadership team
- Analytical and data-driven approach in day to day work
- Lead and manage the technology & process related initiatives
- Complying to the audit and compliance related concerns as per organization guidelines
- Ability to collaborate with various cross functional stakeholders and drive the agenda for closure
- Should have a good analytical mind to understand costs associated with hospital tariffs and claim cost and manage them effectively.
- Should have excellent communication, presentation and detailed oriented skills (MS Excel, PowerPoint)
Required Qualification / Experience
- MBBS/B Pharma /M-Pharma/Physiotherapy/BAMS/BHMS/Paramedics or similar prior experience as per above roles and responsibilities
- High on energy, innovative thinking, passionate and can do attitude.
- Firm believer of fostering relationship at all level to achieve business objectives.
- Good Communication & Negotiation skills
- Good Excel Knowledge
- Proficiency in speaking Telugu language is a must as he would be managing AP & Telangana location where Telugu is a must.
Healthcare Revenue Cycle Management Professional
Posted today
Job Viewed
Job Description
Company Description
Aayur Solutions is a U.S.-based medical billing and revenue cycle management company dedicated to maximizing reimbursements and streamlining cash flow for healthcare providers in dental, DME/HME, and pain management specialties. We offer comprehensive services, including insurance verification, claims submission, denial management, and AR recovery, to reduce administrative burden and boost profitability. Our commitment to personalized support, real-time reporting, and a client-first approach enables practices of all sizes to operate efficiently and increase revenue. Aayur Solutions combines deep industry knowledge and powerful automation to provide tailored, technology-driven RCM services.
Role Description
This is a full-time on-site role located in Ahmedabad for a Healthcare Revenue Cycle Management Professional. The professional will be responsible for managing the entire revenue cycle, including medical billing, coding support, insurance verification, claims submission, denial management, and accounts receivable recovery. The role requires daily interaction with insurance companies and healthcare providers, ensuring accurate and timely reimbursements. The professional will also provide training and support to healthcare staff to optimize RCM processes and ensure compliance with industry regulations.
Qualifications
- Experience in EMT and Medicine
- Excellent Communication and Training skills
- Knowledge of Healthcare systems and processes
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
- Proficiency in medical billing software and technology platforms
- Bachelor's degree in Healthcare Administration, Business, or relevant field
- Certification in medical billing or coding is a plus
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Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)
Posted 1 day ago
Job Viewed
Job Description
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)
Posted 1 day ago
Job Viewed
Job Description
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)
Posted today
Job Viewed
Job Description
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.