Senior Data Scientist, AI RWD at Tempus

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Precision Medicine, AIIndustries

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

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

Skills

Python

scikit-learn

TensorFlow

PyTorch

statistical analysis

hypothesis testing

ROC-AUC

F1 score

model evaluation

MLOps

data visualization

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

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