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Precision Medicine Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

Fred Hutch

Post-Doctoral Research Fellow

Seattle, WA · On-site

$55K - $75K/yr

Preferred : • Experience with real-world data analysis, AI and machine learning, causal inference, and precision medicine are plus. Company : Fred Hutch is an independent, nonprofit organization ...

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

... accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

... accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

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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.
Machine Learning Engineer

Machine Learning Engineer

Machina Labs

Los Angeles, CA

Full-time

Posted 23 days ago

Job description

About Machina Labs
 
Engineering moves at software speed. Manufacturing doesn't. Yet.
 
Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.
 
Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.
 
If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.    

Job Description:

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands-on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real-world manufacturing challenges, we’d love to hear from you.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
  • Leverage Databricks and Apache Spark for large-scale data processing and model development.
  • Collaborate with cross-functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well-documented, and production-quality Python code.
  • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well-documented, and production-quality Python code.
  • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.
Required Background & Experience:
  • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
  • Strong experience designing, building, training, and testing machine learning models end-to-end.
  • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
  • Proficiency in Python for ML development, data processing, and scripting.
  • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
  • Experience with Databricks and Apache Spark for data engineering and model development.
Preferred Qualifications:
  • Machine learning experience in CAD and computational geometry applications.
  • Experience working in the industrial or manufacturing space.
  • Experience with robotics, including robotic perception, control, or planning.
 

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position.

In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

 
Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. 
 
We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. 

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. 

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.