Real World Data Analytics Programmer/Analyst Consultant

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….

ClinChoice is searching for a Real World Data Analytics Programmer/Analyst Consultant to join one of our clients.

ClinChoice is a global full-service CRO with a strong focus on quality professional development and supportive culture. As a client-facing role we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.

General Summary : The Real World Analytics (RWA) Analyst performs the execution of statistical analysis plans for observational research conducted by the RWE GPS and/or other cross-functional stakeholders. The (RWA) Analyst also provides analytic input to patient population selection medical code search performs QC as needed and manages workload in support of one or more therapeutic areas.

Key Duties and Responsibilities: •    Executes on statistical analysis plans. •    Checks other analyst’s work to ensure quality.  •    Evaluate and provide input to database selection patient population selection and statistical analysis plans. •    Support database management and optimization. •    Develop tools to improve and automate RWD analytic work. •    Develop applications in data visualization and dashboard.

Knowledge and Skills: •    5 years SAS programming experience is required; other programming skills such as SQL R Python Matlab html are preferred. •    Experience working with large databases is required. Experience working with AWS is preferred. •    Knowledge of US healthcare system health insurance billing data and electronic medical record data. •    Familiarity with data analysis methods data management and data visualization. •    Skills of data visualization and knowledge of dashboard creation using tools such as Tableau Power BI is preferred. •    Attention to detail is critical as is adhering to standards and procedures. •    Good organizational and written/verbal communication skills required. •    Ability to work effectively in a constantly changing fast-paced diverse and matrix environment. •    Ability to multitask; strong work ethic and a 'can-do' mentality.

Education and Experience: •   Advanced degrees in epidemiology biostatistics math data science or similar disciplines required. •   Minimum 2 years of experience working in observational research within the life sciences industry or relevant academic government or consulting environment.

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