ZipRecruiter

Log In

1

Machine Learning Scientist Healthcare Jobs (NOW HIRING)

BigHat

Principal, Machine Learning Scientist

San Mateo, CA · On-site

$254K - $290K/yr

Principal, Machine Learning Scientist Department: DS/ML (Data Science/Machine Learning) Employment ... Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

We connect with candor and care, seeking out diverse perspectives from our customers, communities ... All Axon employees must be aware of and committed to the appropriate environmental, health, and ...

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

We connect with candor and care, seeking out diverse perspectives from our customers, communities ... All Axon employees must be aware of and committed to the appropriate environmental, health, and ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into ... Comprehensive benefits including health/dental/vision insurance * Generous PTO policy and ...

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics ...

Netflix

Machine Learning Scientist 5 - Ad Ranking

They are seeking a Machine Learning Scientist to enhance ad quality and performance through advanced machine learning and optimization algorithms, driving innovative solutions for ad personalization.

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsMachine Learning Scientist Healthcare Jobs

Machine Learning Scientist Healthcare information

What is the difference between Machine Learning Scientist Healthcare vs Data Scientist Healthcare?

AspectMachine Learning Scientist HealthcareData Scientist Healthcare
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentResearch-focused, developing ML models for healthcare applicationsData analysis, reporting, and visualization in healthcare settings
Employer & Industry UsageHospitals, biotech firms, healthcare tech companiesHospitals, insurance companies, healthcare analytics firms

While both roles involve working with healthcare data, Machine Learning Scientists focus on developing advanced algorithms and models, whereas Data Scientists analyze data to generate insights. The ML Scientist role emphasizes model creation and deployment, often requiring deeper expertise in machine learning techniques.

Is machine learning a high paying job?

Machine Learning Scientists in healthcare typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and knowledge of healthcare data. Salaries vary based on experience, location, and industry demand but are generally above average compared to many other tech roles.

Is machine learning used in healthcare?

Machine learning scientists in healthcare develop algorithms that analyze medical data to improve diagnosis, treatment, and patient outcomes. They often work with large datasets and tools like Python, TensorFlow, or scikit-learn to create predictive models used in clinical decision support systems.

What are popular job titles related to Machine Learning Scientist Healthcare jobs?

For Machine Learning Scientist Healthcare jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Scientist Healthcare job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 64% Full Time, 19% Part Time, and 15% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Principal, Machine Learning Scientist

San Mateo, CA • On-site, Remote

BigHat Biosciences
Biotechnology Research and Development • 11 - 50 employees
Learn more about BigHat Biosciencesexternal

$254K - $290K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

Principal, Machine Learning Scientist
Department: DS/ML (Data Science/Machine Learning)
Employment Type: Full Time
Location: San Mateo, CA
Reporting To: Hunter Elliot
Description
The role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.
At BigHat Biosciences our full-stack antibody drug development platform uses ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes the development of complex, next-gen therapeutics 'trivially parallelizable', at a pace which only accelerates as we develop better ML tooling.
You're not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you'll apply your world-class ML skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics.
Key Responsibilities
  • Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
  • Provide leadership, technical guidance, and mentorship to other ML and data science FTEs and interns.
  • Help set strategy for future ML research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.
  • Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.
  • Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
  • Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat.
  • Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
  • Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
  • Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.
  • Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat's platform, and plan and prioritize ML methods development accordingly.

Skills Knowledge and Expertise
  • PhD in ML/CS or in the hard sciences with 5+ years experience post-graduation in developing and applying novel ML methods, and a strong quantitative background.
  • Publications in major ML conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel ML in industry.
  • Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
  • Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
  • Enjoys a fast-paced environment and excels at executing across multiple projects.
  • Familiarity with the current state-of-the-art in ML-driven protein engineering
  • Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.

Total Rewards
The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
  • Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
  • Dental, and vision coverage through Guardian
  • Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
  • 401(k) with company match
  • DTO, two weeks of company-wide shutdown, and 12 company holidays
  • Paid parental leave

Apply