Job Description

Summary The Health Data Insights Manager is responsible for generating robust insights and supports the acceleration of high-quality prediction systems, infusing patient level data science and informatics into each step of the clinical trial process with focus on Feasibility (especially using TriNetX, EHR/EMR datasets).As a key member of Health Data Insights delivery team, he / she develops insights and recommendations in collaboration with the Health Data Insights Director and Associate Director and supports them for effective delivery.Major accountabilities:Gain deep understanding of the domain and core processes to leverage Data Science and analytics to solve business problemsGather and analyze large datasets, identify key analytical opportunitiesxe2x80x8bResponsible for communication, explanation and sharing of data insights (Pat. Journey, SOC, TriNetX, CLIP configuration etc.,) with Health Data Insights Director and Associate Director and Medical/Clinical Team.Ensure adherence and compliance with Novartis standards and guidelinesEnsure quality control and audit readiness of analytic solutionsEnsure completeness and delivery according to specific stakeholder requirementsRecommend and lead major process improvement initiatives or other major non-clinical project activities requiring advanced analytical expertiseRegularly scan the external environment for latest trends in data science, machine learning and other applications of artificial intelligence, etc., keeping the group updated on state-of-the-art techniques and technologiesWork directly with Health Data Director and Associate Director and expedite any clinical Insights generation to support PSPKey performance indicators:Support optimizing protocol design, improved patient mapping and matching, site identification and selection ultimately improving trial recruitmentQuality and timeliness of deliverables producedAdherence to Novartis standards, in particular quality, ethical, health, safety, and information security (ISEC) standardsMinimum Requirements:
Work Experience:Bachelors, Masters, PhD, or equivalent experience in Life Sciences, Mathematics, Statistics, Medical Informatics, or Computer Science, Operations Research, BTech, MTech, BCA, MCA, Data Science PG courses from ISB, IIMs, ISI, Great Lakes or any other relevant courses3-5 years of relevant experience in the pharmaceutical, biotechnology industry, or a Masterxe2x80x99s degree in Data Science, Business Intelligence, Epidemiology, Public Health or a related discipline3+ years of Industry experience in some of the following areas: predictive modelling, advanced analytics, market intelligence, strategic planning, clinical trial design or execution, feasibility or patient recruitment and business insightsCross Cultural Experience.Functional Breadth.Project Management.Skills:Previous work in patient data including clinical information systems, EMR, claims, etc.Strong familiarity with clinical data coding systems and/or computer-based clinical search tools and data analyticsGood interpersonal and communication skills. Communicates and works with business subject matter experts and organizational leadershipSelf-motivated with a high degree of ownership and accountability for resultsPossess strong, resourceful research skills to locate unusual information and have capacity to develop a deep domain specific knowledge baseDemonstrated ability to work in a matrix organization and demonstrates good skills in building partnerships, negotiating agreements,Good knowledge of multiple core Clinical Development functions (data management, Strategy and planning, statistical programming, trial management and monitoring) preferableLanguages :English.Skills Desired Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model

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