Data Scientist (MicroStrategy Visualization) - Biotechnology

Job ID: 625908 • • • PLEASE NOTE: We are NOT accepting any 3rd party (Corp-to-Corp) and/or Visa Transfer Candidates at this time • • • Summary: Our client, a leading biotech company, is seeking an experienced senior level Data Scientist who has experience with programming and implementing visualizations in MicroStrategy. See below for other details! Top Skills Needed: • MicroStrategy programming and visualization • 3+ years of analytics related experience in clinical research. Experience with clinical data preferred • Experience with Spotfire • Experience with R programming • Experience working with cross-functional stakeholders and gathering requirements, implementing analytic solutions, and enabling data driven insights Responsibilities: • 50/50 – solutions built and stakeholder interaction • Phase II, Phase III studies primarily – across all Therapeutic Areas • Enabling analytics for clinical trials from start up to close out • Work directly with stakeholders – discover what data review is needed • Create dashboards so data is visible throughout the trial • MicroStrategy programming/visualization work • R, Python programming, statistics, visualization background • Refine requirements and help create best way to visualize data • Translate analytics to business requirements and back to users • Manage workload of 13-15 studies (broken out by TA) • The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. • Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. • Identifies use cases that are appropriate for the application of ML and AI. • Manage and execute analytic needs for a set of clinical trials based on therapeutic alignment Partner with cross-functional teams to enable data-driven insights to support the end-to-end clinical trial execution through fit-for-purpose analytics support • Identify business needs on a study and support the creation of RBQM deliverables (KRIs/QTLs), data review deliverables, or study specific reports or analyses as required. • Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions • Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized Qualifications: • Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred • Must have 3+ years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies. • Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent • Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms • Demonstrated problem-solving and analytical skills • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively • Strong cross-functional collaboration skills to navigate a matrixed work organization • Exhibits excellent organizational skills to manage multiple priorities and projects. • Communicates clearly, translating business needs into actionable analytics requiremen • Strong technical expertise and proficiency with R, Python or other statistical packages. Proficiency with visualization tools such as Spotfire or equivalent • Fosters innovation and an entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning • Effectively influences cross-functional stakeholders to identify and unlock the full potential of data and analytics. • Thrives in fast-paced environments and adapts quickly to changing priorities.