Research Data Scientist at University of North Carolina at Chapel Hill in chapel hill, North Carolina

Job Description:

Department:

TraCS Institute-429801

Career Area :

Research Professionals

Posting Open Date:

11/25/2024

Application Deadline:

01/01/2025

Open Until Filled:

No

Position Type:

Permanent Staff (EHRA NF)

Working Title:

Research Data Scientist

Appointment Type:

EHRA Non-Faculty

Position Number:

20066707

Vacancy ID:

NF0008690

Full Time/Part Time:

Full-Time Permanent

FTE:

1

Hours per week:

40

Position Location:

North Carolina, US

Hiring Range:

$95,000 - $128,000

Proposed Start Date:

02/03/2025

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. The UNC Translational and Clinical Sciences Institute (TraCS) was formed in 2007 to serve as the academic home for the University's Clinical and Translational Sciences Award (CTSA), a funded NIH grant. The vision of the TraCS Institute is to transform how clinical and translational science is being performed, here at UNC, throughout the State and out into the CTSA national community.

Position Summary:

The Research Data Scientist position will work closely with the Program Director of the TraCS Data Science Lab (TDSL) and TraCS leaders and team members to support clinical data science across UNC. The Research Data Scientist will (1) collaborate on translational research using real world data, (2) design and build novel data resources and statistical methods to enhance and improve clinical data science, and (3) create curricula and training resources for a clinical data science education program at UNC. Depending on Program priorities and personal interests, there is flexibility in the research data scientist role to develop their own extramural funding for research priorities in-line with the overarching mission of the TDSL Program at UNC.

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:

This position requires a Masters or PhD in applicable field and at least 2 years of relevant work experience. Excellent written and oral scientific communication skills as well as the ability to independently manage multiple projects is also required.

Preferred Qualifications, Competencies, and Experience:

• Professional and/or formal educational experience utilizing large language models for research (deploying, tuning, optimizing open & closed source models in local & cloud environments)


• Experience with natural language processing utilizing traditional data science approaches (word2Vec, nltk, spark NLP, etc) and/or NLP utilizing large language models


• Demonstrated skill in semantic web technologies.


• High level of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis.


• Experience with data engineering to create data science pipelines, deployment and scale models, and maintain and thoroughly document code and models.


• Knowledge of SQL programming, data modeling, and relational database systems such as Oracle, MS-SQL, MySQL, etc.


• Excellent independent work function with ability to manage multiple projects at once while delivering high-quality work on time.


• Strong interest in clinical data and desire to develop deep expertise in EHR and claims data.


• Strong commitment to teaching and disseminating work through writing and speaking engagements. Creating and giving seminars & presentations and authoring manuscripts is an expectation.


• Fluency visualizing data for scientific purposes (e.g., creating figures for manuscripts and presentations) .


• Experience and interest in academic research (working with faculty, disseminating work through manuscripts & open source software, and grant writing).

Special Physical/Mental Requirements:

N/A

Campus Security Authority Responsibilities:

Not Applicable.

Special Instructions:

This position is open to in-person, remote, and hybrid candidates.


This position is ideal for those with formal experience and/or education in statistical or applied math.

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