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Contract Biomedical Machine Learning Jobs in New York

... contracts. Our founding engineers led Foundry's core systems - Ontology, Fusion, Workshop ... Learning budget - attend any conference, course, or program that makes you better at what we're ...

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years of ...

... processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including ...

What We Look For In a Biomedical Engineering Tutor * Advanced Subject Mastery: Deep knowledge of ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

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Contract Biomedical Machine Learning information

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What job categories do people searching Contract Biomedical Machine Learning jobs in New York look for? The top searched job categories for Contract Biomedical Machine Learning jobs in New York are:
What cities in New York are hiring for Contract Biomedical Machine Learning jobs? Cities in New York with the most Contract Biomedical Machine Learning job openings:

Machine Learning Engineer II/III (Applied Research & Model Development)

PathAI

Manhattan, NY • On-site

$140 - $190/hr

Other

Posted 5 days ago


Job description

Our team is passionate about solving big challenges in healthcare and transforming the field of pathology with artificial intelligence.

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

Where You Fit

We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services.

What You’ll Do

As an MLE (Applied Research & Model Development) at PathAI, your responsibilities will grow in scope as you progress through levels:

Design, develop, and deploy machine learning models for research and product development projects.

Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.

Contribute to experimental design and analysis, including ideation, documentation, and reporting.

Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).

Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.

Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

Level-specific expectations:

MLE I: Contribute to projects with guidance, implement models, and learn best practices.

MLE II: Independently deliver on projects, improve processes, and mentor junior engineers.

MLE III: Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact.

You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.

What You Bring

We welcome applicants across all MLE levels. Minimum qualifications differ by level:

MLE II:

Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience.

Proven track record of developing and deploying machine learning models into production or research applications.

Strong proficiency in Python, ML frameworks, and data pipeline development.

Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows.

Strong communication skills and ability to collaborate across scientific and engineering teams.

MLE III

Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience.

Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products).

Mastery of ML frameworks, software engineering best practices, and deployment pipelines.

Ability to lead end-to-end projects, mentor others, and set technical direction.

Experience articulating technical improvements into business or clinical impact.

Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).

We Want To Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

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