46 Healthcare Management jobs in India
Healthcare Claims and Management
Posted today
Job Viewed
Job Description
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)
Posted 3 days 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 3 days 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.
TL-Clinical Data Management
Posted 6 days ago
Job Viewed
Job Description
1. **6 yrs of minimum Clinical Data Management experience**
2. **Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases.**
3. **Rave (Medidata) or Veeva EDC hands on experience is must.**
**Must Have:**
**Setup experience should have knowledge of**
DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory).
**Conduct Experience**
Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc **.**
**Study Lock**
Freezing/Locking, should have good experience of Study lock
**Client facing role and Mentoring are added advantage.**
1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities.
2 Participate in innovation and process improvement initiatives.
3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs.
4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information.
5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required.
6 Study Setup hands on experience.
7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool ,
8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
SME-Clinical Data Management
Posted 6 days ago
Job Viewed
Job Description
1. **4 - 6 yrs of minimum Clinical Data Management experience**
2. **Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases.**
3. **Rave (Medidata) or Veeva EDC hands on experience is must.**
**Must Have:**
**Setup experience should have knowledge of**
DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory).
**Conduct Experience**
Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc **.**
**Study Lock**
Freezing/Locking, should have good experience of Study lock
**Client facing role and Mentoring are added advantage.**
1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities.
2 Participate in innovation and process improvement initiatives.
3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs.
4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information.
5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required.
6 Study Setup hands on experience.
7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool ,
8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
SPE-Clinical Data Management
Posted 6 days ago
Job Viewed
Job Description
1. **2 to 3 yrs of minimum Clinical Data Management experience**
2. **Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases.**
3. **Rave (Medidata) or Veeva EDC hands on experience is must.**
**Must Have:**
**Setup experience should have knowledge of**
DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory).
**Conduct Experience**
Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc **.**
**Study Lock**
Freezing/Locking, should have good experience of Study lock
**Client facing role and Mentoring are added advantage.**
1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities.
2 Participate in innovation and process improvement initiatives.
3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs.
4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information.
5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required.
6 Study Setup hands on experience.
7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool ,
8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication)
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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Manager 2-Clinical Data Management
Posted 6 days ago
Job Viewed
Job Description
The incumbent is responsible for effectively participating in the start-up and completion of multiple Data Management projects according to stakeholder requirements and in accordance to SOPs and other applicable standards in compliance with Sun Procedural Documents, ICH-GCP and local regulations
**Area Of Responsibility**
1. Effective management of all data management aspects of assigned project(s) from setup to lock.
2. Attend regular meetings with project team, for discussions relating to data management issues and provides status updates for the project.
3. Report on quality and performance metrics, including timelines, to project leads and other stakeholders
4. Participate in in-house and external training courses, where required.
5. Participate in the preparation/review of Data Management process control documents, including but not limited to Data Management Plan, Data Edit Checks Specification, User Acceptance Testing, Data Transfer Agreements/Specifications, Reconciliation plans, CRF Completion Guidelines, Coding Guidelines, etc.
6. Coordinate and manage training and EDC access for investigators, coordinators, data entry and CRAs on selected applications for data entry, cleaning, and running reports, as applicable to study parameters.
7. Review, freeze and/or lock data in accordance with Data Management documents for accuracy, completeness, consistency and validity, generate queries, as necessary, for sites and/or project team.
8. Coordinate with Medical Data Reviewer and/or Medical Monitor for the coding of medical terminology, as required.
9. Maintain Data Management study documentation in an audit-ready status,
10. Perform reconciliation, including but not limited to SAS/AE, Electronic Data Files (EDF) and third-party data such as central labs and IVR, against the clinical database and track issues to resolution.
11. May present at investigator meetings and PM/CRA training sessions.
12. Identifies and recommends process improvements to management team, as identified.
Geographic Scope/ Market
Global
Budget (if applicable)
Work Conditions:
Full time
Physical Requirements:
Presence at work
Travel Estimate
Infrequent
**Education and Job Qualification**
Preferably a minimum of a Bachelor's degree in a Life Science, Nursing, Computer Science or related discipline
**Experience**
Minimum 6 years of clinical data management experience including working knowledge using clinical data capture tool. Experience of leading global clinical studies is preferred
We provide equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, military or veteran status, generic predisposing characteristics or any other basis prohibited by law.
Sr. Executive-Clinical Data Management
Posted 6 days ago
Job Viewed
Job Description
The incumbent is responsible for effectively participating in the start-up and completion of multiple Data Management projects according to stakeholder requirements and in accordance to SOPs and other applicable standards in compliance with Sun Procedural Documents, ICH-GCP and local regulations
**Area Of Responsibility**
1. Effective management of all data management aspects of assigned project(s) from setup to lock.
2. Attend regular meetings with project team, for discussions relating to data management issues and provides status updates for the project.
3. Report on quality and performance metrics, including timelines, to project leads and other stakeholders
4. Participate in in-house and external training courses, where required.
5. Participate in the preparation/review of Data Management process control documents, including but not limited to Data Management Plan, Data Edit Checks Specification, User Acceptance Testing, Data Transfer Agreements/Specifications, Reconciliation plans, CRF Completion Guidelines, Coding Guidelines, etc.
6. Coordinate and manage training and EDC access for investigators, coordinators, data entry and CRAs on selected applications for data entry, cleaning, and running reports, as applicable to study parameters.
7. Review, freeze and/or lock data in accordance with Data Management documents for accuracy, completeness, consistency and validity, generate queries, as necessary, for sites and/or project team.
8. Coordinate with Medical Data Reviewer and/or Medical Monitor for the coding of medical terminology, as required.
9. Maintain Data Management study documentation in an audit-ready status,
10. Perform reconciliation, including but not limited to SAS/AE, Electronic Data Files (EDF) and third-party data such as central labs and IVR, against the clinical database and track issues to resolution.
11. May present at investigator meetings and PM/CRA training sessions.
12. Identifies and recommends process improvements to management team, as identified.
Geographic Scope/ Market
Global
Budget (if applicable)
Work Conditions:
Full time
Physical Requirements:
Presence at work
Travel Estimate
Infrequent
**Education and Job Qualification**
Preferably a minimum of a Bachelor's degree in a Life Science, Nursing, Computer Science or related discipline
**Experience**
Executive-Minimum 3 years of clinical data management experience including working knowledge using clinical data capture tool
Sr. Executive- Minimum 5 years of clinical data management experience including working knowledge using clinical data capture tool. Experience of leading global clinical studies is preferred
We provide equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, military or veteran status, generic predisposing characteristics or any other basis prohibited by law.
Manager 2-Clinical Data Management
Posted today
Job Viewed
Job Description
Job Summary
The incumbent is responsible for effectively participating in the start-up and completion of multiple Data Management projects according to stakeholder requirements and in accordance to SOPs and other applicable standards in compliance with Sun Procedural Documents, ICH-GCP and local regulations
Area Of Responsibility
Geographic Scope/ Market
Global
Budget (if applicable)
Work Conditions:
Full time
Physical Requirements:
Presence at work
Travel Estimate
Infrequent
Education and Job Qualification
Preferably a minimum of a Bachelor's degree in a Life Science, Nursing, Computer Science or related discipline
Experience
Minimum 6 years of clinical data management experience including working knowledge using clinical data capture tool. Experience of leading global clinical studies is preferred