Senior Analyst – Medical Analytics
Roche
full-time
Posted on:
Location Type: Office
Location: Hyderabad • India
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Job Level
About the role
- Lead complex analytics initiatives supporting Medical Affairs across areas such as real-world data analysis, patient outcomes, treatment pathways, pre & post launch tracking, customer list generation, and disease progression
- Partner with Field Medical and Medical Networks teams to generate insights from HCP/KOL engagement data, enabling optimization of medical strategies and field effectiveness
- Develop and implement scalable data pipelines, automation solutions, and analytical frameworks to process and analyze large healthcare datasets
- Work on analytics use cases spanning HEOR, medical impact assessment, patient journey analytics, and health equity research
- Leverage diverse datasets such as claims, EHR/EMR, clinical trial data, and interaction data to derive actionable insights
- Collaborate with cross-functional stakeholders to translate scientific and business questions into analytical solutions and deliver high-quality outputs
- Create clear and impactful presentations to communicate complex clinical and scientific insights to stakeholders
- Manage end-to-end project delivery, ensuring quality, timeliness, and stakeholder alignment
- Mentor junior team members and contribute to capability building within the team
Requirements
- Bachelor’s degree in Technology, Life Sciences, Pharmacy, Medicine, Biostatistics, or a related discipline
- 4–8 years of analytics/consulting experience
- 2–5 years in Pharma/Biotech/Healthcare analytics
- Strong experience in Medical Analytics, real-world data analysis, clinical analytics, or outcomes research
- Hands-on experience working with healthcare datasets such as claims, EHR/EMR, clinical trials, and field medical interaction data
- Good understanding of U.S. Medical Affairs ecosystem, including Field Medical, Medical Networks, and Scientific Operations
- Proficiency in SQL and Excel, along with strong programming skills in Python, R, or SAS
- Experience in building data pipelines, automation workflows, and scalable analytical solutions
- Strong understanding of statistical techniques, data modelling, and analytical problem-solving
- Excellent communication and presentation skills, with the ability to translate complex data into meaningful insights
Benefits
- Health insurance
- Competitive salary
- Professional development opportunities
- Flexible working arrangements
- Work-life balance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLExcelPythonRSASdata pipelinesautomation workflowsstatistical techniquesdata modellinganalytical problem-solving
Soft Skills
communicationpresentationmentoringcollaborationstakeholder alignmentproject managementanalytical thinkingcapability building