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Precision Medicine Machine Learning Jobs (NOW HIRING)

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We validate the economic and clinical utility of new ...

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We validate the economic and clinical utility of new ...

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We validate the economic and clinical utility of new ...

OR ยท On-site

Domain knowledge in oncology, biomarker discovery, or clinical precision medicine * Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e ...

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We validate the economic and clinical utility of new ...

Develop and deploy precision medicine education programs, including onboarding resources, toolkits, and learning materials * Ensure education efforts are aligned to measurable outcomes, including ...

Develop and deploy precision medicine education programs, including onboarding resources, toolkits, and learning materials * Ensure education efforts are aligned to measurable outcomes, including ...

Domain knowledge in oncology, biomarker discovery, or clinical precision medicine * Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e ...

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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.

Product Designer

Evidation

Menlo Park, CA โ€ข On-site

Full-time

Medical, PTO

Posted 24 days ago


Job description

Company Description
Evidation Health is seeking a Product Designer. We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We validate the economic and clinical utility of new digital health technologies and enable regular people to participate in finding the best tools to help make managing health just a little easier for everyone.
Job Description
Mission driven and passionate about making things that matter in healthcare
Hard-working, but also respectful of personal time
Dedication to creating stable systems that automatically scale to meet demand
Willing to work with a flexible schedule so long as goals are met
Daily scrums with weekly feature releases
Competitive compensation and benefits package commensurate with experience
Flexible vacation and holiday schedule
Qualifications
1-2 years of experience in designing digital products
Experience with prototyping your designs using modern prototyping tools (InVision, Marvel, Quartz Composer, etc.)
Experience designing responsive websites and mobile applications
Excellent communication skills when communicating design decisions and working with engineers to build out what you design
Additional Information
All your information will be kept confidential according to EEO guidelines.