About arenaflex arenaflex is a forwardthinking innovationdriven organization operating at the intersection of healthcare data science and pharmaceutical research With a mission to transform how realworld evidence RWE shapes up-to-date medicine arenaflex partners with biopharmaceutical companies research institutions and clinical operations teams to deliver rigorous reproducible and actionable insights from largescale healthcare data Our work directly influences treatment decisions health policy patient outcomes and the development of lifechanging therapies Headquartered with a strong national presence and a thriving remote workforce arenaflex fosters a culture of curiosity scientific excellence and collaboration We believe that data when wielded with precision and creativity has the power to redefine patient care By joining arenaflex you become part of a multidisciplinary team of clinicians statisticians engineers and epidemiologists who are passionate about turning complex datasets into clear lifeimpacting knowledge Position Overview arenaflex is seeking a highly motivated and analytically sharp RealWorld Evidence RWE Data Scientist to join our Scientific Projects team This is a remote fulltime opportunity offering a competitive hourly rate of 26 hour Working standard 8hour business hours the successful candidate will design execute and interpret sophisticated analyses of clinical medical and realworld datasets that inform strategic decisions across the biopharmaceutical and clinical trial landscape This role is ideal for a data professional who thrives at the intersection of biostatistics epidemiology and healthcare informatics You will mine raw datasets build reproducible analytical pipelines construct dashboards and partner with crossfunctional stakeholders to deliver insights that matter If you are driven by intellectual challenge and a desire to make a measurable impact on patient health arenaflex offers the platform to do exactly that This position reports directly to the Director of Clinical Data Science and collaborates closely with the broader Scientific Projects Clinical Trials and Biopharmaceutical Partnerships teams Key Responsibilities Mine cleanse transform and store raw datasets from inhouse assets and licensed thirdparty platforms producing standardized analysisready patient cohorts for downstream use Conduct sophisticated data analyses to address critical business and scientific questions interpret results and help shape overall research and analysis strategy Partner with members of the arenaflex Clinical Trials team to deliver actionable insights from realworld clinical and complementary data sources supporting biopharmaceutical RWE and clinical trial requests Perform analyses that may include assessment of unmet medical needs safe and effective treatment patterns within specific disease states treatment utilization patterns healthcare economic burden and costeffectiveness modeling Cleanse transform and integrate data into a unified data lake architecture to enable future analyses and broader team consumption Apply data mining statistical analysis and machine learning techniques to RWE and realworld data RWD to uncover new insights regarding patient populations treatment outcomes and disease trajectories Support the ongoing development of realworld data assets analytics methodologies and platform capabilitiesapplying advanced analytics and modern tools to solve scientific questions posed by biopharmaceutical partners Collaborate on the design and execution of outcomes research studies contributing to protocol development methodology selection and result interpretation Ensure the highest standards of quality scientific rigor and interpretability across all RWE studies analyses and reports Build maintain and refine dashboards analytic tools and reports for both internal stakeholders and external biopharmaceutical clients Conduct due diligence on new realworld data providers and vendors and lead RWD quality assessments that inform strategic sourcing and partnership decisions Essential Qualifications Bachelors degree in statistics biostatistics computer science mathematics epidemiology systems engineering biomedical engineering or a closely related quantitative discipline Proven experience in designing and executing robust reproducible statistical analyses within the context of epidemiology and observational research using healthcare data Strong working knowledge of common statistical testing methods including generalized linear models classification and clustering techniques decision trees unsupervised learning methods time series analysis and survival analysis Handson experience processing and analyzing large datasets drawn from diverse data sources and formats Demonstrated experience handling protected patient health information PHI with a clear

📌 Remote Data Entry and RealWorld Evidence Data Scientist Healthcare Analytics (India)
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📍 India