Data Scientist

Data Scientist 1

The Southwest Center for Advancing Clinical and Translational Innovation (SW CACTI, also known as CTSC) at the UNM Health Sciences Center (HSC) is seeking an experienced, strategic, and effective Data Scientist 1 to provide scientific programming, translational informatics, and research Dev Sec Ops  support in a complex research computing environment. Under general supervision and in close collaboration with a multidisciplinary data analyst team, the qualified candidate will help design, deploy, administer, and continuously improve the computing platforms, servers, containers, workflows, and security processes that support AI/ML, clinical and translational informatics, CFDE/OMOP‑linked data resources, GPU/HPC systems, Kubernetes/CyVerse environments, and multi‑institutional research collaboration.

Tasks include developing and maintaining databases and research software for advanced analytics; ensuring data integrity and secure storage; analyzing system performance; and designing and implementing complex data workflows and infrastructure‑as‑code deployments. Responsibilities also include clearly documenting workflows, testing them on simulated and real‑world datasets, generating experimental results, and producing robust, distributable software packages using reproducible research practices, Git Hub/Git Hub Actions, Ansible, containerization, automated testing, and secure deployment practices where appropriate.

The position also involves working with and delivering presentations to a range of interdepartmental stakeholders to provide support to faculty, researchers, students, and other computational staff on the development of research computing platforms, AI/ML services, secure data enclaves, system management tools, architectural assessments, training‑as‑code resources, and translational informatics workflows. The ideal candidate will be a self‑motivated individual who enjoys a diverse range of projects, has proven technical skills, and keeps up with advances in computer science and technology.

This position will help operationalize SW CACTI’s Health Informatics aims by supporting cross‑institutional infrastructure, secure data enclaves, AI/ML capabilities, CFDE/IDG/OMOP‑enabled data integration, Dev Sec Ops /MLOps practices, and reusable training and software resources for clinical and translational science.

The SW CACTI is a member of the national Clinical Translational Science Award (CTSA) consortium, funded by the National Institutes of Health (NIH). SW CACTI aims to remove barriers to translational science, accelerate clinical translational innovation, and advance health outcomes in the United States Southwest region. SW CACTI is a partnership between the University of New Mexico (UNM) and the University of Arizona (UA).

• Provides scientific programming, systems administration, and research Dev Sec Ops  support for advanced clinical and translational research computing environments, including Linux servers, GPU/HPC resources, containers, Kubernetes/CyVerse platforms, infrastructure‑as‑code, and AI/ML research workflows.
• Provides support for monitoring system usage and health, ensuring operating systems are functioning at optimal performance and reliability levels, and working with institutional IT and security teams to support secure configuration, access control, vulnerability remediation, disaster recovery, and compliance for research systems.
• Develops, documents, manages, and maintains research IT and Dev Sec Ops  processes, including server configuration, Git Hub/Git Hub Actions workflows, Ansible automation, container deployment, security review, backup, disaster recovery, and reproducible scientific workflow execution.
• Works in collaboration with computational staff to manage hardware and software infrastructure to support a reliable, high‑performance, and scalable computing environment for health informatics, secure data enclaves, AI/ML services, Common Fund Data Ecosystem (CFDE)/OMOP data integration, and multi‑site clinical and translational research.
• Participates in the configuration and tuning of batch queuing systems in high‑performance,…