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.