Submitting more applications increases your chances of landing a job.

Here’s how busy the average job seeker was last month:

Opportunities viewed

Applications submitted

Keep exploring and applying to maximize your chances!

Looking for employers with a proven track record of hiring women?

Click here to explore opportunities now!
We Value Your Feedback

You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for

Would You Be Likely to Participate?

If selected, we will contact you via email with further instructions and details about your participation.

You will receive a $7 payout for answering the survey.


https://bayt.page.link/8gwBaBqH3Tjs2HL3A
Back to the job results

Lead AI/Data Science Engineer

30+ days ago 2026/05/09
Other Business Support Services
Create a job alert for similar positions
Job alert turned off. You won’t receive updates for this search anymore.

Job description

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.


A Day in the LifeAt Medtronic, we’re pioneering the use of AI and computer vision to revolutionize healthcare. Our work drives the development of advanced medical devices by transforming image data into actionable insights. We are seeking a Lead Data Scientist specializing in computer vision to lead the creation of cutting-edge AI models, unlocking new possibilities for patient care and clinical outcomes.

Responsibilities may include the following and other duties may be assigned


  • Collaborate with cross-functional teams, including radiologists, clinical experts, and product managers, to define AI-powered solutions in the medical imaging domain.
  • Lead the design and execution of advanced computer vision pipelines for tasks like image segmentation, object detection, classification, and anomaly detection using medical images (CT, MRI, X-ray, ultrasound).
  • Drive preprocessing of large-scale medical image datasets, addressing noise reduction, normalization, and other domain-specific challenges.
  • Research, design, and implement state-of-the-art deep learning algorithms using frameworks like TensorFlow, PyTorch, or equivalent for medical imaging use cases.
  • Ensure scalability and efficiency of AI models by optimizing them for deployment on cloud and edge devices.
  • Perform rigorous validation and testing of models to ensure they meet regulatory and clinical standards for safety and accuracy.
  • Mentor a team of data scientists and engineers, providing technical guidance and fostering an environment of innovation.
  • Stay at the forefront of advancements in computer vision and medical imaging, integrating cutting-edge techniques into product development.
  • Publish and present research findings in internal forums or relevant conferences, contributing to the company’s thought leadership in AI and healthcare.

Required Knowledge and Experience


  • 10+ years of experience in data science or AI, with at least 6+ years focused on computer vision applications.
  • Proven expertise in medical imaging analysis, including working with modalities such as CT, MRI, X-ray, and ultrasound.
  • Advanced proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
  • Deep understanding of computer vision techniques, including image segmentation, feature extraction, object detection, and generative models.
  • Experience in handling large-scale image datasets, including data wrangling, augmentation, and preprocessing.
  • Strong knowledge of DICOM formats, PACS systems, and medical data compliance standards.
  • Ability to work within regulated environments and familiarity with FDA/CE requirements for AI in medical devices.
  • Excellent communication skills to convey complex AI concepts to non-technical stakeholders and clinical collaborators.
  • B.Tech / Masters / Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field with a focus on computer vision or AI.
  • 10+ years of professional experience in data science, AI, or machine learning roles, with a track record of leadership in complex projects.

Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 


Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
 


This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. 
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.


Learn more about our business, mission, and our commitment to diversity here  
 


This job post has been translated by AI and may contain minor differences or errors.

You’ve reached the maximum limit of 15 job alerts. To create a new alert, please delete an existing one first.
Job alert created for this search. You’ll receive updates when new jobs match.
Are you sure you want to unapply?

You'll no longer be considered for this role and your application will be removed from the employer's inbox.