Manager Research Analytics

Putnam; Gurugram District; On-site; INR 180,000 - 260,000; Full time

Job summary

Putnam is seeking an experienced professional for Real-World Evidence and healthcare analytics. You will deliver analytical solutions across pharmaceutical and healthcare domains, leveraging multiple data sources and robust study designs.

The ideal candidate has 6–8 years of RWE experience, strong programming in SAS, R, Python, and SQL, and excellent communication to collaborate with clients and cross-functional teams. A Masters in a quantitative field is required.

Qualifications

• Minimum of 6-8 years in Real-World Evidence (RWE) or healthcare analytics with a proven track record.
• Hands-on experience with real-world data sources (claims, EHRs, registries, surveys, etc.).
• Master's in a quantitative discipline (Biostatistics/Data Science/Epidemiology/CS/Math).
• Good understanding of pharma/healthcare ecosystem, including HEOR is preferred.
• Excellent communication, stakeholder, and project management skills.
• Ability to lead multiple projects with minimal supervision, delivering high-quality results.
• Strong analytical/problem-solving skills and ability to translate questions into analyses.
• Commitment to continuous learning and adoption of new methodologies.
• Mentoring junior team members and supporting process improvements is a plus.

Skills

SAS

R

Python

SQL

Education

Master's in Biostatistics/Data Science/Epidemiology/Computer Science/Mathematics

Job description

Job Description:

• Minimum of 6 - 8 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.

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.