Analytics & Intelligence - Senior Analyst (Medical Analytics) at Roche

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Medical Analytics, Real-World Data Analysis, SQL, Python, R, SAS, Data Pipeline Development, Statistical Modeling, Healthcare Data Analysis, Stakeholder Management, Clinical Analytics, HEOR, Patient Journey Analytics, Excel, Data Automation, Presentation Skills

Industry

Biotechnology Research

Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Position title: Analytics & Intelligence - Senior Analyst (Medical Analytics) Roche India - Roche Services and Solutions Reports to: Analytics & Intelligence – Manager Location: Hyderabad & Chennai A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Roche has established Global Analytics and Technology Center of Excellence (GATE) to drive analytics & technology-driven solutions by partnering with Roche affiliates across the globe. As a Senior Analyst – Medical Analytics, you will collaborate closely with Field analytics & Insights - Medical, U.S. Medical Affairs (USMA) teams. You will play a key role in enabling data-driven medical strategy and enhancing patient outcomes through advanced analytics. Your Opportunity 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 (MSL/HCP engagements) 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 Act as a thought partner by delivering high-quality, scientifically grounded analytics solutions and recommendations Manage end-to-end project delivery, ensuring quality, timeliness, and stakeholder alignment Work across global teams and time zones to support business needs Mentor junior team members and contribute to capability building within the team Who you are You hold a bachelor’s degree in Technology, Life Sciences, Pharmacy, Medicine, Biostatistics, or a related discipline, with 4–8 years of analytics/consulting experience, including 2–5 years in Pharma/Biotech/Healthcare analytics. A Master’s degree is an added advantage 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 Exposure to therapeutic areas such as oncology, immunology, neurology, etc., is preferred Excellent communication and presentation skills, with the ability to translate complex data into meaningful insights Demonstrated ability to manage stakeholders and work in a fast-paced, collaborative environment Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Responsibilities

Lead complex analytics initiatives to support Medical Affairs, focusing on real-world data, patient outcomes, and treatment pathways. Collaborate with cross-functional teams to translate scientific questions into actionable insights and scalable data solutions.