Staff/Senior Data Scientist, Genomics Algos

Tempus AI; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking company dedicated to transforming healthcare through artificial intelligence. As a Senior Data Scientist, you will leverage one of the largest clinicogenomics datasets to improve patient care and optimize clinical products. This role involves designing innovative AI algorithms and collaborating with interdisciplinary teams to make significant advancements in medical research. With a focus on genomic data analysis and machine learning, you will have the opportunity to impact lives positively. If you are passionate about precision medicine and eager to drive change, this is the perfect opportunity for you.

Benefits

Incentive Compensation

Restricted Stock Units

Medical Benefits

Flexible Work Environment

Qualifications

• Strong skills in data science and genomics machine learning.
• Experience with genomic and clinical data analysis.

Responsibilities

• Analyze large datasets to develop AI-powered clinical reports.
• Collaborate with teams to build advanced data platforms.

Skills

Data Analysis

Machine Learning

Genomics

Python Programming

SQL

Collaboration

Communication

Education

MS/PhD in Quantitative Discipline

Tools

Pandas

Scikit-learn

Lifelines

Jupyter

BigQuery

Docker

Git

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 Senior Data Scientist to join our Data Science research and development 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.

As a Senior Data Scientist, you will play a crucial role in designing and developing AI-enabled genomics algorithms. The ideal candidate will possess strong skills in data science, expertise in genomics machine learning, and experience with real-world clinical data.

What You Will Do:

• Analyze large multimodal datasets to develop new AI-powered clinical reports, like IPS and TO (https://www.tempus.com/oncology/algorithmic-tests/)
• 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 particular 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 engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing)
• Thrive in a fast-paced environment and able to 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 orientation, self motivation, and drive to make a positive impact in healthcare

Preferred Qualifications:

• 4+ years full time employment or postdoctoral experience building and validating predictive models on structured or unstructured data.
• Experience with traditional and deep learning approaches to survival modeling and subtyping
• Experience working with clinical cancer data (progression free vs overall survival, missing data etc.)
• Understanding of CLIA/CAP validation protocols and how to bring scientific ideas to market as laboratory developed tests (LDT)
• Strong peer-reviewed publication record

Illinois Pay Range - $100,000-$160,000USD

New York Pay Range - $115,000-$175,000USD

California Pay Range - $115,000-$175,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, 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.

Additionally,for remote roles open to individuals in unincorporated Los Angeles – including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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.