Senior SAS Programmer/Biostatistician

Job Description

Job Description

Seneca Federal Health, LLC (SFH) provides solutions to federal health agencies that enable better health outcomes to those our federal customers serve. SFH is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Seneca Federal Health is seeking a Senior SAS Programmer/Biostatistician in Atlanta, GA.

Responsibilities include, but are not limited to :

• Master SAS Macro Library Control: Serve as the principal architecture lead for the development, maintenance, and structural optimization of DHP's Master SAS Macro Library, applying semantic versioning via GitLab/GitHub.
• Data modernizations & Pipeline Lead: Drive the programmatic migration of legacy SAS macro frameworks into optimized cloud environments (Python, R, pySpark, Databricks), acting as a primary engine for division-wide data modernization goals.
• Parallel Discrepancy Evaluation: Design, deploy, and execute parallel production runs between legacy code systems and newly engineered cloud pipelines, running detailed equivalence tests and managing discrepancy remediation down to zero tolerance variance.
• MMP Rule Engine Execution: Direct and optimize automated cleaning suites applying 400+ distinct field-level logic rules across complex clinical and behavioral surveillance domains to generate analysis-ready files.
• Complex Survey Weights Calibration: Calculate Respondent-Driven Sampling (RDS) and venue-based complex weights for NHBS cycles, running advanced sample calibrations via PROC SURVEYFREQ, SURVEYMEANS, and SURVEYREG workflows.
• Section 308(d) Table Suppression: Programmatically embed automated small-cell suppression rules and data-masking constraints directly inside SAS and Python reporting code blocks, mitigating confidentiality disclosure prior to clearance routing.
• Dual-Reviewer Equivalence Testing: Operate rigid dual-reviewer validation protocols for all high-priority ad hoc data queries from leadership or Congress, certifying data precision and traceability under 5 business day turnarounds.
• 1CDP Metadata Harvesting: Coordinate the programmatic extraction of data dictionaries and schema attributes from frozen analytical datasets, automating catalog integration with the One CDC Data Platform (1CDP).
• Audit-Ready Technical Documentation: Generate comprehensive code annotations, lineage maps, change tracking tables, and reproducibility records to ensure full compliance with federal data integrity and code harmonization rules.

Basic Qualifications:

• Master's degree in Biostatistics, Statistics, Mathematics, or a highly quantitative mathematical discipline required.
• Ability to obtain and/or maintain an active favorable Tier I background check
• 7+ years of continuous SAS macro software development and structural statistical programming experience within federal health or clinical trial settings.
• 5+ years of hands-on data manipulation and multi-stage sampling weight calculation experience utilizing specialized SAS PROC SURVEY tools.
• Direct technical familiarity working with massive historical CDC data stores, including MMP data architectures, NHBS repositories, and eHARS files.
• Proven experience executing dual-reviewer validation architectures using formal version control systems (GitLab/GitHub).
• SAS Certified Advanced Programmer for SAS 9 or SAS Viya required
• SAS Certified Statistical Business Analyst or Advanced Analytics Professional preferred.

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.