Associate in Research

Duke PA; Durham (NC); On-site; USD 85,000 - 120,000; Full time

Job summary

Duke University invites applications for an Associate in Research with deep learning expertise to participate in a program focused on developing machine learning tools for medical imaging.

The role centers on building, implementing, and evaluating ML and computer vision methods in health contexts, collaborating with clinicians and researchers. This appointment offers growth, publication potential, and a thriving academic environment.

Qualifications

• Ph.D. in computer science, electrical engineering, biomedical engineering, statistics or related field.
• Proven expertise in machine learning and/or deep learning.
• Strong programming skills (e.g., Python, frameworks).
• Excellent verbal and written communication; publications preferred.

Responsibilities

• Develop, implement, and evaluate machine learning and computer vision algorithms for medical imaging.
• Collaborate with Duke Spark researchers and clinicians to apply AI to real healthcare problems.
• Contribute to research on foundation models and DL methods for detection, segmentation, and classification in radiology and related areas.

Skills

Machine learning

Programming

Verbal communication

Written communication

Research experience

Education

Ph.D. in Computer Science / Electrical Engineering / Biomedical Engineering / Statistics or related field

Job description

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Position Summary:

Duke University is a world-renowned research institution. Currently, we are looking for a Associate in Research with expertise in deep learning to participate in a research program focused on development of machine learning tools and their application to medical imaging.

Key Responsibilities:

The Associate in Research will apply their technical skills toward the development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI researchers and physicians work together to solve important clinical problems. The current and prior work of our team includes the development and evaluation of foundation models as well as deep learning algorithms for detection, segmentation, and classification. We are currently working on problems in the domains of radiology, surgery, cardiology, and oncology. This appointment will allow the candidate to improve their engineering skills while becoming familiar with current healthcare problems.

Career development benefits:

Duke University is committed to mentoring and supporting young investigators. It offers multiple professional development seminars on topics including preparation of grant applications, academic promotion, presentation skills, writing, alternative career paths and other topics that will prepare the Research Associate for the future career in academia or industry. Dr. Mazurowski’s laboratory has a strong track record of publications by the trainees and the trainees of the Mazurowski lab have found strong positions after completing their training in the lab including faculty positions at leading institutions.

Minimum Qualifications:

The candidate should hold a Ph.D. (or equivalent) in computer science, electrical engineering, biomedical engineering, statistics, or a related field. Experience includes (1) expertise and experience in machine learning, (2) proficiency in computer programming, (3) good verbal and written communication skills. Prior publications on the topics of machine learning, computer vision, and medical imaging are preferred.

Appointment Details:

• Full-time, 12-month position with possibility of renewal.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions:

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

Read more about Duke’s commitment to affirmative action and nondiscrimination at hr.duke.edu/eeo.