Machine Learning Scientist
University of North Carolina at Chapel Hill

Job Info

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Department:

OBGYN-Global Health-412490

Career Area :

Research Professionals

Posting Open Date:

10/02/2024

Application Deadline:

10/16/2024

Open Until Filled:

No

Position Type:

Permanent Staff (EHRA NF)

Working Title:

Machine Learning Scientist

Appointment Type:

EHRA Non-Faculty

Position Number:

20049516

Vacancy ID:

NF0008550

Full Time/Part Time:

Full-Time Permanent

FTE:

1

Hours per week:

40

Position Location:

North Carolina, US

Proposed Start Date:

11/11/2024

Be a Tar Heel!:

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.

Primary Purpose of Organizational Unit:

The UNC School of Medicine has a rich tradition of excellence and care. Our mission is to improve the health and wellbeing of North Carolinians, and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service.

OUR VISION
Our vision is to be the nation's leading public school of medicine. We are ranked 2nd in primary care education among all US schools of medicine and 5th among public peers in NIH research funding. Our Allied Health Department is home to five top-ranked divisions, and we are home to 18 top-ranked clinical and basic science departments in NIH research funding.

OUR MISSION
Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research.

Patient Care: We will promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.

Education: We will prepare tomorrow's health care professionals and biomedical researchers by facilitating learning within innovative curricula and team-oriented interprofessional education. We will cultivate outstanding teaching and research faculty, and we will recruit outstanding students and trainees from highly diverse backgrounds to create a socially responsible, highly skilled workforce.

Research: We will develop and support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research.

Position Summary:

Machine Learning Scientist

UNC Global Women's Health (GWH) is a unique group of clinicians, researchers and public health professionals working to improve the health of women and children in the world's poorest countries. Driven by outcomes and intensely practical, the majority of our diverse staff live overseas, with central support at the GWH office in Chapel Hill.

We are seeking a Machine Learning Scientist to support two projects:

1. A large ultrasound dataset, including scans and associated biometry and clinical information, developed with the objective of creating algorithms for new portable ultrasounds, appropriate for low-resource settings.
2. A 15,000 participant observational cohort dataset documenting the course and outcomes of labor, delivery and the immediate postpartum period in settings where adverse birth outcomes are high, with the objective of developing new tools to reduce intrapartum morbidity and mortality in low-resource settings.

The Machine Learning Scientist will be responsible for identifying and applying cutting-edge artificial intelligence and machine learning (AI/ML) techniques to analyze these datasets, develop models and algorithms, and solve clinical problems relevant to women in low-resource settings.Minimum Education and Experience Requirements:

Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor's degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.

Required Qualifications, Competencies, and Experience:

* Proficient in typical ML programming and statistical packages, such as Python, Pandas, Pytorch, SQL, and SAS.
* Ability to develop software systems using modern software development and design tools such as Figma, C#, Flutter, etc.
* Extensive work experience in research implementation, ideally in low-resource settings
* Ability to identify and adopt cutting-edge ML techniques from the research literature
* Ability to formulate and implement novel machine learning end-to-end solutions to pertinent clinical problems (from idea to evaluation and interpretation of results).
* Demonstrated ability to work autonomously, to discern appropriate (and shifting) priorities and to organize workload efficiently.
* Excellent interpersonal communication and technical writing skills, including ability to produce research-grade publications.
including ability to produce research-grade publications.

Preferred Qualifications, Competencies, and Experience:

* Familiarity with good clinical practices and protection of human subjects.
* Experience with clinical datasets.
* Experience with deep learning and popular development framworks such as Pytorch.
* Familiarity with cloud development environments (Azure ML).
* Background in computer vision and time series analysis.
* Familiarity with maternal-child health or international public health fields.

Special Physical/Mental Requirements:

N/A

Campus Security Authority Responsibilities:

Not Applicable.

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