Senior Clinical Data Scientist; s

Location: Atlanta, GA or Remote (USA)

Join one of the fastest-growing organizations dedicated to using AI, GenAI, LLM, Cloud, and Digital Technologies to advance drug development and improve patient care pathways. Write Med.

AI helps biopharma and life sciences companies reduce the time needed for medical publications and regulatory paperwork. Our technical team supports our customers' missions with innovative solutions across various technologies including AI, GenAI, LLM, Compute, Storage, Database, Big Data, Application Services, Networking, Serverless, Deployment, Security, and more. This role offers an opportunity to collaborate with principal AI architects, data scientists, and engineers to maintain a robust and secure technical foundation for clients ranging from small biotech firms to large pharmaceutical companies.

This position offers a hybrid work model, requiring 3 days per week or 12 days per month in our Atlanta office.

• Ph.D. in data science, biostatistics, or related quantitative fields
• Over 3 years of experience in clinical drug development with substantial exposure to clinical trials
• Deep understanding of statistical methods such as time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, longitudinal modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design
• Proficiency in R and Python, with demonstrated skills in data visualization, exploratory analysis, and predictive modeling
• Excellent communication skills, both verbal and written
• Ability to create and deliver clear presentations for internal and external stakeholders in decision-making contexts

• Develop and implement data science methodologies for biomedical data analysis, interpretation, ingestion, and statistical analysis across disciplines
• Integrate data science and AI expertise with biological or medical knowledge to enhance drug development processes through medical writing, collaborating closely with internal SMEs and external clients
• Plan, execute, interpret, validate, and communicate exploratory analyses and algorithms to support internal decision-making
• Provide technical expertise in data science and machine learning/AI to identify opportunities influencing decision processes and contribute to discussions on white papers and regulatory policies
• Perform hands-on analysis of integrated clinical and real-world data