What are the top 3-5 skills, experience or education required for this position:

1. 3+ years of analytics related experience in clinical research. Experience with clinical data preferred
2. Experience with Spotfire or similar visualization tool
3. Experience with R programming
4. Experience working with cross-functional stakeholders and gathering requirements, implementing analytic solutions, and enabling data driven insights

Purpose:

• Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of Client’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.
• 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.

Roles and Responsibilities:

• 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
• In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
• Enables data-driven insights to support of clinical development continuum, including precision medicine
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, Client Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
• Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks;

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.