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Precision Medicine Machine Learning Jobs (NOW HIRING)

Ataraxis AI

Research Scientist

New York, NY · On-site

$120K - $210K/yr

About Ataraxis AI Ataraxis is an AI precision medicine company working at the intersection of multi ... Design and implement novel machine learning models and methods for self-supervised learning ...

Natera

OR · On-site

$232K - $243K/yr

Director, Head of Product Management - AI-Enabled Precision Medicine (Therapeutics & Innovations ... machine learning-unlocking entirely new approaches to drug development and patient care. Within the ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

... our precision medicine and biomarker discovery initiatives. This role will contribute to target and drug discovery efforts through advanced analytics, machine learning, and large-scale data ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... precision, speed, and adaptability. This is a hands-on role for someone who thrives at the ...

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Precision Medicine Machine Learning information

What are the key skills and qualifications needed to thrive as a Precision Medicine Machine Learning specialist, and why are they important?

To thrive as a Precision Medicine Machine Learning specialist, you need a solid background in computational biology, statistics, and machine learning, typically backed by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and knowledge of biomedical databases are essential. Strong problem-solving ability, effective communication, and interdisciplinary collaboration skills help you translate complex data into actionable insights for clinicians and researchers. These skills are crucial for developing accurate, clinically relevant models that advance personalized healthcare solutions.

What is the difference between Precision Medicine Machine Learning vs Data Scientist?

AspectPrecision Medicine Machine LearningData Scientist
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; knowledge of healthcare dataDegree in statistics, computer science, or related fields; programming skills
Work EnvironmentHealthcare and research institutions, biotech companiesVarious industries including tech, finance, healthcare
Employer & Industry UsageUsed in personalized treatment development, genomics researchUsed across multiple sectors for data analysis and insights
Common Search & Comparison IntentUnderstanding specialized roles in healthcare data analysisGeneral data analysis roles across industries

Precision Medicine Machine Learning focuses on applying machine learning techniques to healthcare data for personalized treatments, often requiring domain-specific knowledge. Data Scientists have broader roles across industries, analyzing diverse datasets. While both roles involve machine learning and data analysis, Precision Medicine Machine Learning is specialized for healthcare and genomics applications.

What is precision medicine machine learning?

Precision medicine machine learning refers to the use of advanced algorithms and statistical models to analyze large biological and clinical datasets, such as genomics, imaging, or electronic health records, to tailor medical treatments to individual patients. These methods help identify patterns and biomarkers that can predict disease risk, treatment response, or outcomes, enabling more personalized and effective healthcare. Professionals in this field typically work at the intersection of data science, medicine, and biology, leveraging machine learning to improve diagnostics, drug discovery, and patient care.

How does a Precision Medicine Machine Learning specialist typically collaborate with clinicians and researchers in multidisciplinary teams?

Precision Medicine Machine Learning specialists frequently work alongside clinicians, biomedical researchers, and data scientists to translate complex clinical and genomic data into actionable insights. They participate in cross-functional meetings to understand clinical challenges, ensure the relevance of their models, and communicate results in accessible terms. Effective collaboration often involves explaining technical concepts, incorporating domain expertise into model development, and iteratively refining algorithms based on feedback. This teamwork is essential for ensuring machine learning solutions are both scientifically robust and clinically meaningful.
Infographic showing various Precision Medicine Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 34% Full Time, 61% Part Time, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Sr. Director/Director Precision Oncology

Aitia

Cambridge, MA • On-site

$180K - $240K/yr

Full-time

Posted 10 days ago

Job description

Position Summary
Senior Director/Director Precision Oncology will be responsible for leading a dynamic Precision Oncology team to apply Aitia’s powerful Causal AI platform to oncology drug discovery and clinical development.  This role will manage and support a team of cross-functional scientists in the identification and preparation of large biological data sets, the application of our causal analysis platform, and the interpretation and communication of findings and insights.     The candidate will work closely with external partners to deliver novel insights that impact their decision-making and support Aitia’s internal research efforts in oncology. The Head of Precision Oncology will act as PI, providing technical and managerial oversight of all oncology-related projects with a specific focus on interpreting the biological and clinical findings in the context of precision oncology.
Responsibilities
  • Manage and develop a team of direct reports responsible for start-to-finish development, implementation, and interpretation of oncology-related in silico patient models and applications.
  • Oversee and provide hands-on support as needed in the evaluation and preparation of multi-omic datasets, statistical analyses, interpretation, and validation.
  • Support and participate in face-to-face presentations to current and prospective partners and collaborators 
  • Provide support to the Business Development group by contributing to proposal development discussions and writing.
Qualifications and Skills
  • PhD with experience in oncology research, including developing computational or statistical modeling and interpreting data focused on precision medicine, target identification, biomarker discovery, and patient stratification, 7-10 years of experience.
  • Demonstrated aptitude for connecting computational results to biological or drug development insights
  • Biopharma or CRO experience in applying precision medicine approaches to drug development or translational science is strongly preferred.
  • Experience managing and leading technical teams
  • Deep understanding of biological data and hands-on experience with a variety of omics data sets, including single-cell RNA-seq data
  • Knowledge of standard bioinformatics pipelines, data processing, statistical modeling, and machine learning techniques. 
  • An ability to manage and deliver on multiple projects simultaneously
  • Proficiency in at least one statistical programming or numerical computing language
  • Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly
  • Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus
  • Experience working in an interdisciplinary environment is a plus
  • Passion to learn new things and solve problems
Salary Range is 180,000-240,000 per year

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