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Tempus AI

Senior Data Scientist, AI RWD

Posted An Hour Ago
Be an Early Applicant
Hybrid
5 Locations
100K-175K Annually
Senior level
Hybrid
5 Locations
100K-175K Annually
Senior level
As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.
The summary above was generated by AI

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.

What you’ll do:

  • 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.

Qualifications:

  • 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.

  • 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.

  • 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.

CHI: $100,000-$160,000 USD
NYC/SF: $115,000-$175,000 USD

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Top Skills

Matplotlib
Plotly
Python
PyTorch
R
Scikit-Learn
Seaborn
Tableau
TensorFlow

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