ZipRecruiter

Log In

1

Python Machine Learning Medical Imaging Jobs (NOW HIRING)

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Python, Machine Learning, Data Science, GCP, Big Query Experience Required: Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development Experience ...

staffing1

Ai Engineer

San Francisco, CA

$130K - $170K/yr

The ideal candidate has hands-on experience with Python, machine learning, LLMs, and modern AI frameworks. Responsibilities: Develop and deploy machine learning and AI models for production use cases.

Itransition Group

NY · On-site

$100 - $125/hr

Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) * Hands‑on experience working with tabular/time series data with usage of ML * Solid understanding of machine learning ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

Job Summary: The Machine Learning Engineer will design, develop, and deploy production-ready ... The role requires extensive Python programming, recent and relevant PySpark experience, strong AWS ...

Intuitive

Sr. Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

... medical imaging and computer vision. * Exceptional proficiency in Python and C++, with a deep ... Machine Learning Practice (GMLP) principles, ensuring data representativeness and model ...

Intuitive

Sr. Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

... medical imaging and computer vision. * Exceptional proficiency in Python and C++, with a deep ... Machine Learning Practice (GMLP) principles, ensuring data representativeness and model ...

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

Implement machine learning algorithms using Python and relevant ML frameworks. * Collaborate with software engineers, data scientists, and other technical teams. * Conduct experiments and analyze ...

New

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsPython Machine Learning Medical Imaging Jobs

Python Machine Learning Medical Imaging information

See salary details

$13

$58

$86

How much do python machine learning medical imaging jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python machine learning medical imaging in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What does a Python machine learning medical imaging specialist do?

A Python Machine Learning Medical Imaging specialist develops and applies machine learning algorithms, often using Python, to analyze and interpret medical images such as X-rays, MRIs, or CT scans. Their work helps automate and improve the accuracy of disease detection, image segmentation, and diagnosis processes. They collaborate with healthcare professionals to build tools that assist in clinical decision-making and research. This role requires expertise in machine learning, image processing, and a solid understanding of medical imaging data.

How does a Python machine learning medical imaging specialist typically collaborate with radiologists and clinical teams?

In this role, collaboration with radiologists and clinical teams is essential to develop and validate machine learning models that support diagnostic workflows. You’ll frequently participate in interdisciplinary meetings to gather domain knowledge, understand clinical challenges, and ensure that your models address real-world needs. Effective communication is key, as you’ll translate technical findings into actionable insights for non-technical stakeholders and incorporate their feedback to refine algorithms. This collaborative environment not only enhances model accuracy but also ensures regulatory compliance and clinical relevance.

What are the key skills and qualifications needed to thrive as a Python machine learning medical imaging specialist, and why are they important?

To thrive as a Python Machine Learning Medical Imaging Specialist, you need a strong background in computer science, machine learning, and medical imaging, usually supported by a relevant degree and experience with image analysis. Expertise in Python, libraries such as TensorFlow or PyTorch, and familiarity with DICOM standards and medical imaging software are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in this interdisciplinary role. These skills and qualities are essential for developing accurate, reliable models that improve diagnostics and patient outcomes in healthcare.

What are popular job titles related to Python Machine Learning Medical Imaging jobs?

For Python Machine Learning Medical Imaging jobs, the most frequently searched job titles are:

Infographic showing various Python Machine Learning Medical Imaging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior Machine Learning Scientist, Imaging

South San Francisco, CA • On-site

insitro
Biotechnology Research and Development • 51 - 200 employees
Learn more about insitroexternal

$215K - $235K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

The Opportunity
Imaging based phenotyping of in-vitro biology is at the heart of insitro's efforts to accelerate drug development. At insitro, we use machine learning to derive clinically relevant insights from rich datasets generated in-house.
As an Imaging ML Scientist, you will develop ML-empowered computer vision pipelines to extract insights about disease mechanisms from multiple microscopy modalities. You will be part of a cross-functional team of life scientists, software engineers, computational biologists, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity.
You will be joining a vibrant biotech startup that is in a high growth phase, with promising multiple pre-clinical drug targets in areas such as ALS and metabolic disease. A lot can change in this exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes.
This role will be reporting to the Director of Imaging, Cellular Machine Learning. This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. Join us, and help make a difference to patients!
Responsibilities
  • Partner with experimental and computational biologists to design, troubleshoot, and optimize high-throughput imaging-based experiments and workflows
  • Identify, understand, develop, and deploy novel computer vision and machine learning methods such as segmentation, feature extraction, and representation learning to extract features from microscopy image datasets
  • Work closely with software engineers to build robust and well-tested image analysis workflows, able to be used by experimental and computational biologists with minimal direct support
  • Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions
  • Communicate findings to cross-functional stakeholders through reports, visualizations, presentations, and publications
  • Identify novel disease-relevant phenotypes and propose new screening paradigms that translate to actionable program decisions

About You
  • Ph.D. in computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master's degree and 2+ years of relevant industry experience)
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions on a daily basis
  • Demonstrated ability to identify, understand, and find novel applications of state-of-the-art ML/CV methods from literature or other sources
  • Strong programming skills in Python, including working with TB-scale image datasets and leveraging modern agentic software tools to accelerate development
  • Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
  • Extensive hands on experience working with microscopy data or similar biomedical or physical imaging modalities
  • Passion for making a difference in the world

Nice to Have
  • Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.
  • Experience modeling with video or imaging time-series datasets
  • Experience with microscopy hardware, and/or image data acquisition in other contexts
  • Understanding of optical physics, resolution, numerical aperture, etc.
  • Familiarity with cloud computing services (e.g., AWS or Azure)
  • Experience with database languages (e.g., SQL)
  • Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues

Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $215,000 - $235,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
  • 401(k) plan with employer matching for contributions
  • Excellent medical, dental, and vision coverage as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
  • Quarterly budget for books and online courses for self-development
  • Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
#LI-Hybrid
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.
Insitro logo

About Insitro

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

South San Francisco, CA, US

Year founded

2018

Social media

Twitter

View All Insitro Jobs

Apply