We are seeking a highly skilled Senior Clinical Data Scientist to partner with cross-functional clinical development teams and drive advanced analytics solutions across the clinical development continuum. This role blends deep statistical expertise with emerging machine learning and AI capabilities to deliver high-impact, data-driven insights supporting clinical trials, precision medicine, and strategic decision-making. The ideal candidate will serve as both a hands-on analytics expert and a trusted consultant.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
The Fountain Group is a national staffing firm and we are currently seeking a Senior Clinical Data Scientist for a prominent client of ours. This position is 100% REMOTE Details for the position are as follows:
Location: 100% Remote
Pay Rate: $57–$61/hour
Position Summary
We are seeking a highly skilled Senior Clinical Data Scientist to partner with cross-functional clinical development teams and drive advanced analytics solutions across the clinical development continuum. This role blends deep statistical expertise with emerging machine learning and AI capabilities to deliver high-impact, data-driven insights supporting clinical trials, precision medicine, and strategic decision-making.
The ideal candidate will serve as both a hands-on analytics expert and a trusted consultant—anticipating risks, shaping analytical strategy, and mentoring junior team members while ensuring regulatory compliance and analytical excellence.
Key Responsibilities
- Act as an analytics consultant to cross-functional stakeholders, partnering closely with clinical, biostatistics, data management, and development teams to design high-quality analytical work products.
- Anticipate, identify, and proactively address analytical, data quality, or timeline risks; develop solution options and mitigation strategies.
- Lead and help establish design principles, standards, and best practices to ensure analytical consistency, scalability, and optimized user experience across projects.
- Develop and apply advanced statistical methodologies, including prototype development, test methods, algorithms, and exploratory models.
- Leverage machine learning, AI, and emerging analytical approaches to generate innovative insights and predictive analytics.
- Enable data-driven insights across the clinical development lifecycle, including applications supporting precision medicine.
- Collaborate with business partners to identify needs and support the creation of standard KPIs, dashboards, reports, and statistical analyses.
- Apply machine learning techniques to validate assumptions, assess emerging risks, and predict future clinical trial behavior.
- Ensure compliance with GCP, ICH Guidelines, federal and local regulations, internal SOPs, and functional quality standards.
- Stay current on evolving regulatory guidance, policies, and industry best practices related to clinical research and analytics.
- Provide coaching and mentorship to junior analytics team members, contributing to capability development and knowledge sharing.
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Required Education & Experience
- Master’s or PhD in Statistics, Biostatistics, Data Science, Computer Science, or a related field
- 3–5 years of analytics experience within clinical research or clinical development
- Demonstrated experience working with clinical data in regulated environments
Top Required Skills & Qualifications
- Clinical Analytics Experience: 3–5 years of hands-on analytics experience in clinical research or clinical development settings
- Statistical & Programming Expertise: Advanced proficiency in R and Python (or comparable statistical programming languages/packages)
- Advanced Analytics & Machine Learning: Expert-level experience with machine learning, NLP, and advanced analytical techniques
- AI & Agentic Frameworks: 1+ year of experience with agentic frameworks (e.g., LangGraph, OpenAI agents), including orchestration with tool use, Hands-on experience with LLMs, vector databases, retrieval pipelines (RAG), and modern AI architectures
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