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Machine Learning Scientist Healthcare Jobs (NOW HIRING)

Iambic Therapeutics, Inc

$148K - $186K/yr

JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible ...

Apple Inc.

$184K - $324K/yr

... healthy marketplace. You should have experience developing and implementing machine learning or ... science / machine learning projects in industry. Preferred Qualifications * Experience in ads ...

Flagship Pioneering

We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and ... Cellarity currently offers healthcare coverage, annual incentive program, retirement benefits and a ...

Netflix

Machine Learning Scientist 5 - Ad Ranking

$466K - $750K/yr

Design and implement machine learning and optimization algorithms to improve ad quality and ... Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) ...

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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, 69% Full Time, 14% Part Time, and 15% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Machine Learning Scientist (Financial Scoring)

Boston, MA • On-site

Lendbuzz
Finance and Insurance • 51 - 200 employees
Learn more about Lendbuzzexternal

$170K - $200K/yr

Full-time

Re-posted 17 days ago

Job description

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we've built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a deep understanding of machine learning and statistics and a strong background in data analysis, software development, and communication skills.
Responsibilities
  • Build machine learning and deep learning models based on financial and other modalities like text
  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
  • Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
  • Design and develop robust, scalable pipelines and services using software engineering best practices
  • Implement end-to-end solutions, including architecture design, business logic, and deployment
  • Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
  • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements
  • Ph.D in Computer Science, Statistics, Mathematics or a related field
  • 2+ years of relevant industry or postdoc experience
  • Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
  • Deep understanding of machine learning models and algorithms
  • Deep understanding of probability and statistics
  • Strong data analysis skills and experience working with messy real world data
  • Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn
  • Excellent communication skills

A Vibrant Office Culture & Perks
We love collaborating in person, and we make sure our Boston office is a place you actually look forward to coming to every day. At Lendbuzz, we believe in building an energetic, supportive environment that makes your day-to-day workplace experience both rewarding and fun:
Complimentary Lunches: Forget meal prepping! Enjoy delicious, catered lunches on us every Tuesday and Thursday.
Sweet Happy Hours: Take a well-deserved break with the team at our fun happy hours, featuring sweet treats, great conversations, and a fantastic opportunity to unwind and connect.
Smarter Commuting (TMA Benefit): Save money on your daily trek. We offer TMA benefits, allowing you to allocate pre-tax dollars toward your travel and transit expenses to make your commute to the city a breeze.
$170,000 - $200,000 a year
We believe:
Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
Compassion is a strength. We care about our customers and look to build long-term relationships with them.
Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!
Background Checks
After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant's or employee's specific record and the responsibilities and requirements of the particular role.
A Note on Recruiting Outreach
We've been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

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