Data Scientist III

Position Title: Data Scientist III

Work Location: Remote

Assignment Duration: 6 months (possibility of extension)

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 our organization’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.

• 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.
• Connect with cross‑functional teams to design work product and act as an analytics consultant; anticipate and identify issues that could affect timelines or quality and develop options and solutions.
• Lead and help 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, develop prototypes, test methods and algorithms; leverage emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.
• Enable data‑driven insights to support the clinical development continuum, including precision medicine.
• Ensure adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, organization Standard Operating Procedures (SOPs), and functional quality standards; stay 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 and facilitate discussions around emerging risks.

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field;
  Master’s degree preferred.
• 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; 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 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 requirements.
• 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.