Job Description
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
We are seeking a highly skilled and innovative Data Scientist to join our Data Science Discovery AI team. Your work will contribute to improving patient care, optimizing clinical products, and advancing medical research. This position offers an exciting opportunity to leverage the power of artificial intelligence on one of the largest clinicogenomics real-world datasets in human history.
Responsibilities
- Analyze large multimodal datasets to develop new AI-powered insights
- Develop and characterize novel algorithms for predicting cancer subtype, patient outcome, and treatment response
- Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine
- Interrogate analytical results for robustness, generalization, and clinical impact
- Document, summarize, and present your findings to a group of peers and stakeholders
Required Qualifications
- MS/PhD degree in a quantitative discipline (e.g., statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, biomedical informatics, or similar)
- Experience working with genomic (e.g., DNA-seq, RNA-seq) or clinical (survival data, trials, real-world evidence, claims) data
- Outstanding data analysis skills, with a focus on detailed characterization of genomics and clinical datasets for powering machine learning algorithms
- Experience with supervised and unsupervised machine learning algorithms used in genomics and clinical research: regression, classification, survival modeling, Kaplan-Meier, Cox regression
- Strong programming skills and experience with the Python clinical+molecular data science stack: pandas, scikit-learn, lifelines, and Jupyter
- Strong database and SQL skills: BigQuery, dbt
- Experience with research computing best practices (docker, git, code review, workflow managers, Linux, cloud computing)
- Ability to thrive in a fast-paced environment and shift priorities seamlessly
- Experience with communicating insights and presenting concepts to diverse audiences
- Team player mindset and ability to work in an interdisciplinary team
- Goal-oriented, self-motivated, with a drive to make a positive impact in healthcare
Preferred Qualifications
- 3+ years full-time employment or postdoctoral experience building and validating predictive models on structured or unstructured data
- Experience with deep learning approaches to survival modeling and subtyping
- Experience working with clinical cancer data (progression-free vs overall survival, missing data, etc.)
Compensation & Benefits
Salary Range
- Illinois: $90,000 - $135,000 USD
- New York & California: $100,000 - $150,000 USD
Note: Salary may vary based on location, qualifications, and experience.
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position
Additional Information
- Remote work options available, with considerations regarding legal and ethical standards for handling confidential patient data.
- Equal opportunity employer, committed to diversity and inclusion.
Summary
Tempus is seeking a skilled Data Scientist with expertise in genomics, machine learning, and clinical data analysis to enhance precision medicine initiatives. Ideal candidates are collaborative, adaptable, and driven to impact healthcare outcomes.
Tags
Genomics, Machine Learning, Python, Clinical Data, Data Analysis