1,748 Healthcare Data jobs in India

About the Job

Job title: Data Scientist

Location: Noida- India- Onsite(EST Time zone night shift)

Duration: Fulltime

Note : This is EST time zone night shift role need an immediate joiner and must have Healthcare or Pharma background

Job description:

• Develop and deploy predictive models and machine learning algorithms
• Analyze large, complex datasets to generate actionable insights
• Collaborate with cross-functional teams including R&D, commercial, and manufacturing
• Strong skills in Python, R, SQL, and machine learning libraries
• Experience with cloud platforms (AWS, Azure, or GCP)
• Pharma or healthcare industry experience highly preferred
• Excellent communication and problem-solving skills

Job Title: Healthcare Analytics Specialist  Experience Required - 3 to 5 years  Location-Gurugram(Hybrid)  Position Summary  The Analytics Specialist is responsible for driving insights & supporting decision-making by analyzing healthcare payer data, creating data pipelines, and managing complex analytics projects.

This role involves collaborating with cross-functional teams (Operations, Product, IT, and external partners) to ensure robust data integration, reporting, and advanced analytics capabilities.

The ideal candidate will have strong technical skills, payer domain expertise, and the ability to manage 3rd-party data sources effectively.  Key Responsibilities  Data Integration and ETL Pipelines  Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and loading of internal and external data sources.  Collaborate with Operations to design scalable, secure, and high-performing data workflows.  Implement best practices in data governance, version control, data security, and documentation.  Analytics and Reporting  Data Analysis: Analyze CPT-level data to identify trends, patterns, and insights relevant to healthcare services and payer rates.  Build and maintain analytical models for cost, quality, and utilization metrics, leveraging tools such as Python, R, or SQL-based BI tools.  Develop reports to communicate findings to stakeholders across the organization.  3rd-Party Data Management  Ingest and preprocess multiple 3rd party data from multiple sources and transform it into unified structures for analytics and reporting  Ensure compliance with transparency requirements and enable downstream analytics.  Design automated workflows to update and validate data, working closely with external vendors and technical teams.  Establish best practices for data quality checks (e.g., encounter completeness, claim-level validations) and troubleshooting.  Quality Assurance and Compliance  Ensure data quality by implementing validation checks, audits, and anomaly detection frameworks.  Maintain compliance with HIPAA, HITECH, and other relevant healthcare regulations and data privacy requirements.  Participate in internal and external audits of data processes.  Continuous Improvement & Thought Leadership  Stay current with industry trends, analytics tools, and regulatory changes affecting payer analytics.  Identify opportunities to enhance existing data processes, adopt new technologies, and promote data-driven culture within the organization.  Mentor junior analysts and share best practices in data analytics, reporting, and pipeline development.  Required Qualifications  Education & Experience  Bachelor’s degree in health informatics, Data Science, Computer Science, Statistics, or a related field (master's degree a plus).  3-5+ years of experience in healthcare analytics, payer operations, or related fields.  Technical Skills  Data Integration & ETL: Proficiency in building data pipelines using tools like SQL, Python, R, or ETL platforms (e.g., Talend, Airflow, or Data Factory).  Databases & Cloud: Experience working with relational databases (SQL Server, PostgreSQL) and cloud environments (AWS, Azure, GCP).  BI & Visualization: Familiarity with BI tools (Tableau, Power BI, Looker) for dashboard creation and data storytelling.  MRF, All Claims, & Definitive Healthcare Data: Hands-on experience (or strong familiarity) with healthcare transparency data sets, claims data ingestion strategies, and provider/facility-level data from 3rd-party sources like Definitive Healthcare.  Healthcare Domain Expertise  Strong understanding of claims data structures (UB-04, CMS-1500), coding systems (ICD, CPT, HCPCS), and payer processes.  Knowledge of healthcare regulations (HIPAA, HITECH, transparency rules) and how they impact data sharing and management.  Analytical & Problem-Solving Skills  Proven ability to synthesize large datasets, pinpoint issues, and recommend data-driven solutions.  Comfort with statistical analysis and predictive modeling using Python or R.  Soft Skills  Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.  Strong project management and organizational skills, with the ability to handle multiple tasks and meet deadlines.  Collaborative mindset and willingness to work cross-functionally to achieve shared objectives.  Preferred/Additional Qualifications  Advanced degrees (MBA, MPH, MS in Analytics, or similar).  Experience with healthcare cost transparency regulations and handling MRF data specifically for compliance.  Familiarity with DataOps or DevOps practices to automate and streamline data pipelines.  Certification in BI or data engineering (e.g., Microsoft Certified: Azure Data Engineer.  Experience establishing data stewardship programs & leading data governance initiatives.  Why Join Us?  Impactful Work – Play a key role in leveraging payer data to reduce costs, improve quality, and shape population health strategies.  Innovation – Collaborate on advanced analytics projects using state-of-the-art tools and platforms.  Growth Opportunity – Be part of an expanding analytics team where you can lead initiatives, mentor others, and deepen your healthcare data expertise.  Supportive Culture – Work in an environment that values open communication, knowledge sharing, and continuous learning.  Powered by JazzHR

About the Job

Job title: Data Scientist

Location: Noida- India- Onsite(EST Time zone night shift)

Duration: Fulltime

Note : This is EST time zone night shift role need an immediate joiner and must have Healthcare or Pharma background

Job description:

• Develop and deploy predictive models and machine learning algorithms
• Analyze large, complex datasets to generate actionable insights
• Collaborate with cross-functional teams including R&D, commercial, and manufacturing
• Strong skills in Python, R, SQL, and machine learning libraries
• Experience with cloud platforms (AWS, Azure, or GCP)
• Pharma or healthcare industry experience highly preferred
• Excellent communication and problem-solving skills

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally.

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What You’ll Do

• Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
• Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
• Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
• Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
• Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
• Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Mentor junior team members, promoting analytical excellence and knowledge sharing.

Essential Criteria

• 3+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
• Proven expertise in SQL (advanced joins, window functions, aggregations) , Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools (Power BI, Excel VBA/Macros, Power Query ).
• Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO .
• Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting .
• Skilled in dashboard development, storytelling, and executive-level presentations .
• Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics ).
• Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.

Why Join Prospection?

• Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
• Growth: Be part of a rapidly scaling company with career advancement opportunities.
• Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection, we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally.About UsProspection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide.What You’ll DoSupport the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.Mentor junior team members, promoting analytical excellence and knowledge sharing.Essential Criteria3+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.Proven expertise in SQL (advanced joins, window functions, aggregations), Python (Num Py, Pandas, Scikit-learn, XGBoost), and data visualisation tools (Power BI, Excel VBA/Macros, Power Query).Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.Skilled in dashboard development, storytelling, and executive-level presentations.Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.Why Join Prospection?Impact: Work on projects that improve healthcare delivery and patient outcomes globally.Growth: Be part of a rapidly scaling company with career advancement opportunities.Culture: Join a collaborative, mission-driven team passionate about healthcare and data.Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection, we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally.About UsProspection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide.What You’ll DoSupport the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.Mentor junior team members, promoting analytical excellence and knowledge sharing.Essential Criteria3+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.Proven expertise in SQL (advanced joins, window functions, aggregations), Python (Num Py, Pandas, Scikit-learn, XGBoost), and data visualisation tools (Power BI, Excel VBA/Macros, Power Query).Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.Skilled in dashboard development, storytelling, and executive-level presentations.Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.Why Join Prospection?Impact: Work on projects that improve healthcare delivery and patient outcomes globally.Growth: Be part of a rapidly scaling company with career advancement opportunities.Culture: Join a collaborative, mission-driven team passionate about healthcare and data.Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.