Senior Manager Research Analytics

Putnam; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Putnam is seeking a senior expert in Real-World Evidence and healthcare analytics to lead multiple projects across pharmaceutical clients in India. The role requires 10+ years in RWE or related fields, with hands-on work across claims, EHRs, registries, and trial data.

You will mentor juniors, collaborate with cross-functional teams, and deliver high-quality insights on timelines. The ideal candidate has a Master’s in a quantitative field and excels in complex data integration, statistical

Qualifications

• 10+ years of experience in Real-World Evidence, healthcare analytics, or related field.
• Hands-on experience with real-world data sources (claims, EHRs, registries, surveys, etc.).
• Master's in Biostatistics/Data Science/Epidemiology/CS/Math or related quantitative field.
• Strong understanding of the pharmaceutical and healthcare ecosystem including drug development and HEOR.
• Excellent verbal and written communication; ability to interact with clients and cross-functional teams.
• Proven ability to lead multiple projects with minimal supervision, ensuring quality and timelines.
• Strong analytical and problem-solving skills; translate business questions into analyses.
• Commitment to continuous learning and adoption of new methodologies and tools.
• Experience mentoring junior team members and contributing to process improvements.

Skills

Leadership and mentoring

Project management

Stakeholder management

Communication skills

Problem solving

Analytical thinking

Continuous learning

Education

Master's in Biostatistics/Data Science/Epidemiology/CS/Math

Tools

SAS

R

Python

SQL

Job description

Job Description

• Minimum of 10 years of experience in Real-World Evidence (RWE), healthcare analytics, or a related field, with a proven track record of delivering analytical solutions for the pharmaceutical or healthcare industry.
• Strong hands-on experience in real-world data (RWD) sources, including medical claims, pharmacy claims, electronic health records (EHRs), chart review data, disease registries, healthcare surveys, clinical trial data, and other healthcare databases. Experience working with multiple data sources and integrating them for evidence generation is highly desirable.
• Minimum qualification of Master's in either Biostatistics/Data Science/Epidemiology/ Computer Science/Mathematics, or another relevant quantitative discipline.
• Good understanding of the pharmaceutical and healthcare ecosystem, including drug development, market access, medical affairs, epidemiology, or health economics and outcomes research (HEOR), is preferred.
• Excellent verbal and written communication skills, with demonstrated ability to interact effectively with clients and cross-functional stakeholders. Strong presentation, stakeholder management, project management, and interpersonal skills are essential.
• Proven ability to independently lead and execute multiple projects with minimal supervision while ensuring high-quality deliverables, adherence to timelines, and effective risk management.
• Strong analytical and problem-solving skills, with the ability to translate business questions into analytical approaches and communicate actionable insights.
• Demonstrated commitment to continuous learning, with the ability and willingness to adopt new methodologies, technologies, analytical tools, and industry best practices.
• Supporting mentoring junior team members, contributing to process improvements, and supporting business development initiatives will be an added advantage.

• Minimum of 10 years of experience in Real-World Evidence (RWE), healthcare analytics, or a related field, with a proven track record of delivering analytical solutions for the pharmaceutical or healthcare industry.
• Strong hands-on experience in real-world data (RWD) sources, including medical claims, pharmacy claims, electronic health records (EHRs), chart review data, disease registries, healthcare surveys, clinical trial data, and other healthcare databases. Experience working with multiple data sources and integrating them for evidence generation is highly desirable.
• Minimum qualification of Master's in either Biostatistics/Data Science/Epidemiology/ Computer Science/Mathematics, or another relevant quantitative discipline.
• Good understanding of the pharmaceutical and healthcare ecosystem, including drug development, market access, medical affairs, epidemiology, or health economics and outcomes research (HEOR), is preferred.
• Excellent verbal and written communication skills, with demonstrated ability to interact effectively with clients and cross-functional stakeholders. Strong presentation, stakeholder management, project management, and interpersonal skills are essential.
• Proven ability to independently lead and execute multiple projects with minimal supervision while ensuring high-quality deliverables, adherence to timelines, and effective risk management.
• Strong analytical and problem-solving skills, with the ability to translate business questions into analytical approaches and communicate actionable insights.
• Demonstrated commitment to continuous learning, with the ability and willingness to adopt new methodologies, technologies, analytical tools, and industry best practices.
• Supporting mentoring junior team members, contributing to process improvements, and supporting business development initiatives will be an added advantage.

Any specific information that you would want us to gather from the candidates

• Relevant Experience: At least 6 years of relevant experience within the overall professional experience in Real-World Evidence (RWE), healthcare analytics, epidemiology, biostatistics, or a related domain.
• Scientific Publications: Experience as an author or co-author of peer-reviewed publications, conference abstracts, posters, or presentations is highly desirable. Demonstrated contributions to scientific dissemination and evidence generation will be considered an advantage.
• Programming Skills: Strong hands-on programming expertise is required. Proficiency in SAS, R, Python, and SQL is essential, with the ability to write efficient, reproducible, and well-documented code for data extraction, transformation, analysis, and reporting.
• Technical Reporting & Client Communication: Demonstrated experience in preparing high-quality RWE technical reports, statistical analysis reports, study documentation, client presentations, and executive summaries. Ability to effectively communicate complex analytical findings to both technical and non-technical stakeholders is essential.
• Data Analysis & Visualization: Experience in analyzing large healthcare datasets and presenting insights using appropriate statistical methods, visualizations, and reporting tools is preferred.
• Quality & Compliance: Familiarity with industry’s best practices for documentation, quality control, reproducible research, and adherence to applicable regulatory and client standards is desirable.

Our company is dedicated to building a diverse, inclusive, and authentic workplace.