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University of North Carolina at Chapel Hill | Hiring | Data Scientist | BigDataKB.com | 08-04-22

Job Location: Chapel Hill, NC

Posting Information

Social Medicine-424901

Career Area
Research Professionals

Posting Open Date

Application Deadline
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Open Until Filled

Position Type
Permanent Staff (EHRA NF)

Working Title
Data Scientist
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Appointment Type
EHRA Non-Faculty

Position Number

Vacancy ID

Full Time/Part Time
Full-Time Permanent


Hours per week

Position Location
North Carolina, US

Hiring Range
Dependent on Qualifications

Proposed Start Date

Position Information

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 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 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
Abacus Evaluation Consulting is a Research Service Center at the University of North Carolina, Chapel Hill. Abacus specializes in evaluation, network analysis, and data analytics and is committed to amplifying the impact and effectiveness of client and partner projects. Abacus’ leadership consists of experienced evaluators who maintain currency with state-of-art research and evaluation methodologies. Abacus uses a variety of quantitative, qualitative, and mixed method approaches to address the research and evaluation questions identified in our projects. The Data Analytics unit is a critical workstream of Abacus and will support data collection, management, analysis, and visualization of research and evaluation programs and bring analytic skills, data solutions, and information design to support our teams and client projects. The data scientist position will report to the Associate Director of Data Science and Analytics.

Abacus is an evaluation research service center at UNC and is affiliated with the Center for Health Equity Research (CHER), which brings together collaborative, multidisciplinary teams of scholars and community members to improve health in underserved communities through a shared commitment to health equity, innovation, and translational research. CHER’s vision is to create and maintain cross-disciplinary synergy: The combination of individual perspectives, resources, and skills creates a whole that is greater than the sum of its parts and results in research collaborations with increased creativity and more comprehensive solutions to complex problems. CHER does this through advancing research methods; effectively translating research discoveries; conducting research that addresses patient and community-centered outcomes; and viewing equity in health care as an issue of quality. Across the research continuum, data management, analysis, visualization, and communication are integral to the success of projects and translation of research findings.

The Data Scientist will be responsible for identifying and implementing projects across the analytics continuum for the Abacus portfolio in collaboration with the evaluation teams. They will provide data analytic expertise to research and evaluation collaborative teams and seek opportunities for innovative uses of data. The Data Scientist will direct and engage with tasks to support the data science life cycle, such as data collection or mining, cleaning, exploration, analysis, visualization, modeling and interpretation aligned with project needs. They will document all code and maintain communication of processes and presentation of results. The Data Scientist will work with the Abacus Data Analytics Team and other colleagues across workstreams and leadership in preparing high quality, rigorous analyses and communicating insights.

This position will primarily support the Rapid Acceleration of Diagnostics in Underserved Populations (RADx-UP) Program and the RADx-UP Program’s Coordinating and Data Collection Center (CDCC). The CDCC is a collaboration between UNC CHER and Duke Clinical Research Institute (DCRI). The CDCC supports the National Institutes of Health’s RADx-UP Program, rooted in a community-centered approach that engages communities involved in this program by providing a robust, flexible, participatory, transparent, and sustainable infrastructure to advance COVID-19 testing science according to the needs and interests of communities.

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
Broad knowledge of data science and quantitative analysis techniques and methods.
Ability to conceptualize, develop, adapt, and apply data science methods to solve problems appropriate to data source and project need.
Excellent organizational and time management skills for assigned tasks and the ability to consistently follow through and follow up with assignments of others.
Ability to clearly, concisely, professionally, and effectively communicate in writing and verbally with staff, faculty, and individuals in other organizations, including report writing.
Ability to collaborate effectively in a multidisciplinary environment, maintain cooperative working relationships, and collaborative problem-solve.

Preferred Qualifications, Competencies, and Experience
A Master’s degree in public health, statistics, computer sciences, or other related field.
Experience in a research setting involving data science and/or data management.
Expertise using data programming software (e.g, R, Python, SAS, SQL, or other).
Demonstrated continuous development of programming and analytic skills and ability to produce readable, annotated code.
Strong understanding of relational data stream management.
Attention to detail to ensure accuracy, validity, and integrity of data and analysis.
Enthusiasm to learn new concepts and ways of working.

Special Physical/Mental Requirements

Campus Security Authority Responsibilities

Not Applicable.

Special Instructions

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