Statistical Software Programmer

About Us:

The Avery Group, LLC (TAG) is a minority and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in helping government and commercial organizations succeed by improving their Governance, Risk, and Compliance (GRC) posture. As a management consulting and technology firm, TAG delivers top-tier solutions and services from program management to data analytics, harnessing cutting-edge technology and a customer-centric approach to drive success for our clients. As a result, TAG has had the honor of working with multiple federal government agencies, such as the Centers for Disease Control and Prevention (CDC), the U.S. Department of Veterans Affairs (VA), and the Army National Guard.

At TAG, we champion innovation and diversity, delivering measurable results that positively impact the organizations we serve. Our mission is to break barriers and accelerate success for our clients, communities, and nation. We pride ourselves on fostering a collaborative and inclusive work environment where every voice is heard and valued. Our core values of integrity, innovation, and teamwork guide our operations and shape our culture. Whether you're joining us as a new team member or collaborating with us as a client, you can expect a partnership built on trust, transparency, and a relentless pursuit of excellence.

About the Role:

We are seeking a skilled Statistical Software Programmer with experience building scalable pipelines, custom R and Python packages, and machine learning solutions to support large-scale clinical and genomic data analysis. This role is central to implementing advanced backend systems for phenotype modeling, feature selection, and statistical processing that power visualization tools and research workflows. The ideal candidate will contribute to the development and validation of reusable modules that transform raw EHR and omics data into structured, actionable insights for VA researchers, ensuring performance, scalability, and reproducibility across platforms.

Key Responsibilities:

• Develop backend pipelines to process, clean, and transform VA EHR data.
• Build scalable, reusable R and Python packages to support phenotype modeling and knowledge network construction.
• Create and validate statistical models and machine learning algorithms.
• Implement and deploy scripts to enable online feature selection and dynamic cohort generation.
• Maintain version-controlled codebases with proper documentation for reuse and handoff.
• Support integration of genomic data into analytic workflows.
• Collaborate with visualization specialists to link backend models with front-end dashboards.
• Troubleshoot performance issues and optimize algorithm runtime on VA systems.
• Provide support to VA teams during tool implementation and execution.
• Contribute to technical documentation and support knowledge transfer activities.

Qualifications:

• Master’s degree in Statistics, Computer Science, Data Science, or related field
• At least 2 years of experience in statistical programming and machine learning
• Proficiency in R, R Shiny, Python, and C
• Experience developing custom R packages and reproducible scripts
• Strong understanding of working with large-scale research or clinical datasets
• Knowledge of data cleaning, feature engineering, and algorithm deployment
• Experience with version control and collaborative development platforms (e.g., Git)

Why Join Us:

• Opportunity to work on impactful initiatives and projects.
• Collaborate with a dynamic and experienced team of data and visualization experts.
• Access to ongoing professional development and training.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status or status as an individual with a disability. EOE/Minority/Female/Disabled/Veteran. We reserve the right to modify or revise the job descriptions in part or in its entirety. Reasonable accommodations will be made in accordance with governing law.