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Senior Machine Learning Scientist

Tempus AI

Remote · USFull-time$128–213K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$128–213K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Tempus AI seeks a Senior Machine Learning Scientist to analyze clinical, molecular, and imaging datasets and develop tools and algorithms for predicting patient outcomes and treatment response. The scientist collaborates across product, science, engineering, and business development, evaluates analytical results for robustness and validity, and presents findings to peers and stakeholders. Telecommuting is permitted.

Skills & qualifications

RequiredNice to have

Skills

Genomic Data AnalysisClinical Data AnalysisData AnalysisSupervised Machine LearningUnsupervised Machine LearningPythonPandasScikit-LearnLifelinesJupyterDockerGitCode ReviewWorkflow ManagersLinuxCloud Computing

Qualifications

Master's in Listed Field or RelatedPermanent U.S. Work Authorization

Full job description

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/13777370 Tempus AI seeks Senior Machine Learning Scientist in Chicago, IL. Duties: Analyze and integrate large diverse clinical, molecular and imaging datasets to extract insights, and drive research opportunities.\ Design and prototype novel analysis tools and algorithms for predicting 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, validity, and out of sample stability.\ Document, summarize, and present your findings to a group of peers and stakeholders. Telecommuting permitted. Requires a Master's degree Statistical Genetics, Cancer Genetics, Machine Learning, Bioinformatics, Computational Biology, or related field (or its equivalent), plus any amount of experience with:\ 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.\ Strong programming skills and experience with the python clinical + molecular data science stack: pandas, scikit-learn, lifelines, and jupyter.\ Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing). Telecommuting is permitted. 40 hours/week, $127,500 - $212,500 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply Ref #33705.

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