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Senior Statistical Programmer Jobs in Atlanta, GA

Principal AI Engineer Senior

Atlanta, GA · Hybrid

$120K - $166K/yr

The Principal AI Engineer Senior is responsible for applying and integrating advanced statistical, mathematical, predictive modeling and business analysis for the Artificial Intelligence (AI ...

Senior Data Engineer

Atlanta, GA · On-site

$138 - $181.65/hr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... THE STATS * 5+ years of experience in data engineering or software engineering with a focus on ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... statistics, mathematics, operations research, engineering, data science or computer science)

Senior Data Scientist

Atlanta, GA · On-site

$92 - $95/hr

Job Title Senior Data Scientist Location Atlanta, GA, and various and unanticipated locations ... conducting statistical studies and evaluating various program performances; and programming ...

Collaborate with engineering to validate that event instrumentation is firing correctly before and ... Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science ...

Collaborate with engineering to validate that event instrumentation is firing correctly before and ... Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science ...

Senior Data Engineer

Atlanta, GA · On-site

$138 - $181.65/hr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... THE STATS * 5+ years of experience in data engineering or software engineering with a focus on ...

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Showing results 41-60

Senior Statistical Programmer information

See Atlanta, GA salary details

$79.3K

$123.4K

$161.1K

How much do senior statistical programmer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior statistical programmer in Atlanta, GA is $123,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a senior statistical programmer?

A Senior Statistical Programmer is responsible for developing, testing, and validating statistical programs used for clinical trial data analysis. They work primarily with statistical software like SAS to generate tables, listings, and figures (TLFs) for regulatory submissions and research studies. This role requires strong programming skills, knowledge of statistical methodologies, and an understanding of clinical trial processes. Senior Statistical Programmers also collaborate with statisticians, data managers, and regulatory teams to ensure data integrity and compliance with industry standards.

What are the typical responsibilities and team dynamics for a senior statistical programmer?

As a Senior Statistical Programmer, you will typically be responsible for designing, developing, and validating statistical programs for clinical trial data analysis and reporting. You’ll work closely with biostatisticians, data managers, and clinical project teams to ensure data quality and regulatory compliance, often contributing to the creation of submission datasets and study reports. The role usually involves both independent work and active collaboration, with seasoned programmers frequently mentoring junior staff and participating in process improvement initiatives. This team-oriented structure offers exposure to a variety of projects and stakeholders, making it a dynamic environment ideal for those who enjoy both analytical tasks and cross-functional teamwork.

What are the key skills and qualifications needed to thrive as a senior statistical programmer, and why are they important?

To thrive as a Senior Statistical Programmer, a strong background in statistical analysis, programming (often in SAS and R), and a relevant degree such as in statistics, mathematics, or computer science is essential. Experience with regulatory submission standards (like CDISC SDTM/ADaM), clinical trial software, and certifications such as SAS Certified Advanced Programmer are highly valued. Outstanding attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this collaborative and deadline-driven role. These skills are crucial for ensuring accurate data analysis, regulatory compliance, and successful teamwork in high-stakes research environments.

What are the most commonly searched types of Statistical Programmer jobs in Atlanta, GA?

The most popular types of Statistical Programmer jobs in Atlanta, GA are:

What are popular job titles related to Senior Statistical Programmer jobs in Atlanta, GA?

For Senior Statistical Programmer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Senior Statistical Programmer jobs in Atlanta, GA look for?

The top searched job categories for Senior Statistical Programmer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Senior Statistical Programmer jobs?

Cities near Atlanta, GA with the most Senior Statistical Programmer job openings:

Infographic showing various Senior Statistical Programmer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $123,374 per year, or $59.3 per hour.

Full-time

Posted 11 days ago


Job description

Overview
Job Purpose
Intercontinental Exchange (ICE) is hiring a Senior Performance Engineer to help own performance for our derivatives trading platform - order entry, matching engine, and market data distribution. These are latency-sensitive, business-critical systems where a regression measured in microseconds is a business event.
You will join a small, established performance engineering team. We are hiring a senior engineer to take direct ownership of a substantial share of the platform's performance work. This is not a support seat - you will run campaigns and own conclusions from day one, with an experienced team around you.
The role spans the full performance lifecycle: designing and running test campaigns, profiling pre-production code to surface bottlenecks before release, and diagnosing degradation in production. It is hands-on and deeply technical, suited to an engineer who is equally comfortable profiling a JVM under load, reading a flame graph, and explaining a latency regression to a development team in terms they can act on.
You will use AI tooling to accelerate test design, result analysis, and incident diagnosis - while remaining personally accountable for measurement quality and for every technical conclusion you present.
Responsibilities
  • Own end-to-end performance validation for assigned areas of the derivatives trading platform: order entry, matching engine, and market data distribution paths.
  • Design and execute load, stress, and capacity test suites against pre-production and production-like environments.
  • Profile pre-production services to identify bottlenecks across CPU, memory, I/O, threading, garbage collection, network, and database layers, and partner with development teams to resolve findings before release.
  • Establish and maintain production performance baselines; proactively identify degradation and emerging risk.
  • Investigate latency and capacity events in production, producing formal root cause analyses and corrective action plans.
  • Contribute to capacity planning and infrastructure sizing recommendations grounded in measured behavior and growth projections.
  • Plan and execute non-functional testing - resiliency, failover, scalability, and capacity validation. Expect this to be roughly 20% of your time.
  • Document methodology, results, and findings to a standard suitable for internal engineering audiences and, where applicable, audit and regulatory review.
  • Contribute to the team's shared tooling, harnesses, and measurement practice.

AI-Assisted Performance Engineering
  • AI tooling is part of the standard workflow here, not an experiment. You will use it to draft workload models and test scaffolding from production metrics, SLAs, and prior incidents; to accelerate analysis of profiler output, GC logs, traces, and packet captures; and to shorten first-pass RCA and produce engineering- and audit-ready write-ups.
  • The bar is that you validate what comes back. You own the statistical soundness of the workload model, the identification of the bottleneck, the stated root cause, and the corrective actions - regardless of what produced the first draft.

Knowledge and Experience
  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
  • 5+ years in performance engineering and testing.
  • Demonstrated experience designing workload models and executing performance test campaigns against distributed, multi-tier systems, using tools such as JMeter, Gatling, k6, or LoadRunner.
  • Demonstrated experience diagnosing performance problems in latency-sensitive systems using profilers and system tooling - for example perf, eBPF/bpftrace, async-profiler, JFR, flame graphs, or Intel VTune.
  • A rigorous statistical approach to measurement: you understand why averages mislead, how coordinated omission distorts results, and how to build tests that produce defensible numbers.
  • Excellent written and verbal communication, including the ability to explain a latency distribution to a room that contains both kernel engineers and business stakeholders.
  • Deep working knowledge in at least two of the following, with working familiarity across the rest:
    • Linux internals as they relate to performance - scheduling, memory management, interrupt affinity, kernel and network tuning.
    • JVM internals - the Java memory model, JIT behavior, escape analysis, GC algorithms and their pause characteristics (G1, ZGC, Shenandoah), off-heap memory management.
    • Networking fundamentals - TCP/IP, UDP multicast, packet capture and analysis, and measurement of network-induced latency and loss.

Preferred Knowledge and Experience
  • Proficiency in Java, C++, or Python.
  • Applied experience using AI coding agents in a routine performance or development workflow - test-script authoring, log and metric analysis, RCA drafting. Hands-on experience with Claude Code or a comparable agent, including agent skills or MCP servers connecting agents to APM platforms, logs, or test harnesses, is a plus.
  • Experience with low-latency or high-throughput systems, ideally in financial services, trading, or market data.
  • Kernel-bypass and accelerated networking: Solarflare/Onload, DPDK, RDMA, or FPGA-assisted paths.
  • Hardware and colocation tuning: BIOS/firmware configuration, C-state and frequency management, PTP/PPS time synchronization, hardware timestamping.
  • APM platforms such as Dynatrace, AppDynamics, or OpenTelemetry.
  • Chaos engineering, resiliency testing, or disaster recovery validation.

Schedule
  • Onsite in our Atlanta office five days per week.
  • No on-call rotation.
  • Occasional weekend work to support major platform releases. This is infrequent and scheduled in advance.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.