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An established industry player is seeking a skilled data analyst to leverage their expertise in SQL and data science to drive actionable insights for clients. In this dynamic role, you will engage with clients, consult on business challenges, and utilize best-in-class observational research methods. Your contributions will empower clients to generate real-world evidence and enhance operational processes. Join a forward-thinking organization committed to innovation and efficiency in healthcare analytics, where your skills will directly impact the quality of data-driven solutions provided to clients.
About You – experience, education, skills, and accomplishments
· Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field
· At least 1 years’ experience in a consultative, client-facing role
· At least 1 years’ experience using SQL, programming against large relational databases leveraging interoperable-linked, patient-level data at scale
It would be great if you also had . . .
· Experience evaluating fit-for-purpose data and implementing research protocols
· Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health
· Expertise across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.)
What will you be doing in this role?
· Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify actionable insights for clients
· Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth
· Consult with clients to identify business problems and generate analytics-based solutions
· Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads
· Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy
· Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.