Manager Research Analytics

STEM; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

STEM is seeking a seasoned data science professional with 6-8 years of Real-World Evidence and healthcare analytics experience to deliver analytical solutions for pharma and healthcare clients.

You will work with real-world data sources, lead multiple projects with minimal supervision, and communicate complex findings to both technical and non-technical stakeholders.

Qualifications

• 6–8 years of relevant experience in RWE, healthcare analytics or related field.
• This includes delivering analytic solutions for pharmaceutical or healthcare clients.
• Hands-on experience with real-world data sources (claims, EHRs, registries, etc.).
• Ability to work with multiple data sources and integrate them for evidence generation.
• Masters in a quantitative discipline (Biostatistics/Data Science/Epidemiology/Math/CS).
• Strong communication, presentation, and stakeholder management skills.

Skills

Real-World Evidence

Healthcare analytics

Communication

Project management

Mentoring

Education

Masters in Biostatistics/Data Science/Epidemiology/CS/Math

Tools

SAS

R

Python

SQL

Job description

Job Description:

• Minimum of 6 - 8 years of experiencein 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 Masters 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.

Dont meet every job requirement? Thats okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If youre excited about this role, but your experience doesnt perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.