Data Science Analyst

Position: Data Science Analyst 1
* About Us

Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences.

Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values https://(Use the "Apply for this Job" box below). make Augusta University an institution like no other.

Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state.

The University System of Georgia https:// is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards.

More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at https://.

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Location

Augusta University

Our Health Sciences Campus: 1120 15th Street, Augusta, GA 30912

Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904

Job Summary

The Department of AI & Health seeks a Data Scientist I to join a growing research unit at a pivotal time in healthcare research. The role supports the expansion of the department's computational capabilities and the development of AI-driven health research initiatives. The position involves work with medical imaging, electronic health records, genomics, and real-time patient monitoring data, contributing to predictive diagnostics, personalized medicine, and clinical decision support.

This work will directly support grant development, increase publication output in high-impact journals, attract doctoral students and postdoctoral fellows, and strengthen collaborations with clinical departments and external partners.

Responsibilities

The responsibilities include, but are not limited to:

Application Development and Maintenance

Apply machine learning and statistical methods to analyze complex healthcare datasets.

Collaborate with clinical researchers and faculty to design and implement data-driven research projects.

Develop and maintain data pipelines for processing medical imaging, EHR data, genomics, and patient monitoring data.

Contribute to grant proposals and scientific publications.

Support the development of predictive models for clinical applications.

Participate in collaborative research initiatives with clinical departments.

Document methodologies and create reproducible analysis workflows.

Present findings to research teams and at scientific conferences.

Collaboration and Communication

Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs.

Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations.

Required Qualifications

Master's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field.

OR

Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience.

Preferred Qualifications

Prior involvement in healthcare, academic operations, or public sector analytics.

Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS).

Knowledge, Skills, & Abilities

Demonstrated experience with machine learning, natural language processing (NLP), or AI model development.

Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit-learn, Tensor Flow/PyTorch).

Experience working with clinical, academic, or institutional datasets preferred.

Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders.

Shift/Salary/Benefits

Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an…