Senior Data Scientist, AI RWD

Tempus • Boca Raton, FL

42d • $100,000 - $175,000

About The Position

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 4+ years of experience in data science or machine learning, with a focus on model evaluation and validation.
• Strong command of statistical analysis and hypothesis testing.
• Proficiency in Python and/or R, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience working in a collaborative, cross-functional team environment.

Nice To Haves

• Familiarity with model monitoring tools and MLOps platforms is a plus.
• Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate model performance is a plus.

Responsibilities

• Design and implement comprehensive evaluation strategies for AI models, including both offline and online (production) settings.
• Conduct statistical analyses and hypothesis testing to assess model accuracy, precision, recall, F1 score, ROC-AUC, and other relevant performance metrics.
• Collaborate with clinical data labeling teams, ML engineers and data scientists to define validation datasets, ground truth standards, and performance benchmarks.
• Analyze model outputs to identify strengths, weaknesses, and potential biases, and provide actionable recommendations for improvement.
• Develop and maintain metrics, dashboards, and reports to monitor model performance, drift, and stability over time.
• Communicate findings and recommendations to technical and non-technical stakeholders through clear visualizations and presentations.
• Develop and maintain documentation and metrics for data quality, profiling results, and value assessments to support transparency and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees