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Associate Statistical Programmer Jobs in Grayson, GA

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... programming) * Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc.

... statistical analysis. Interpret and communicate results while leveraging an understanding of ... Technical skills include Excel, SQL, GIS, & programming skills (R/Python) preferred. Education ...

Biomechanics Associate (Ph.D.)

Atlanta, GA

$14.50 - $16.50/hr

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth ... Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally We are ...

Biomechanics Associate (Ph.D.)

Atlanta, GA

$14.50 - $16.50/hr

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally Our ...

Biomechanics Associate (Ph.D.)

Atlanta, GA · On-site

$14.50 - $16.50/hr

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally Our ...

Research Data Analyst Senior

Atlanta, GA · On-site

$111K - $112K/yr

This senior-level research and data analyst position supports complex statistical, financial, and ... Bachelor's degree in a related field with 2 years in a lead/supervisory role OR Associate's degree ...

... Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public ... Statistics - At least one of the following: Current pursuit of or an active CPA, CIA or CISA ...

... associates and suppliers to perform effective problems solving using standard tools (8D, 3P and ... Work with customers and suppliers to refine their processes. · Excellent quantitative, statistical ...

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Showing results 1-20

Associate Statistical Programmer information

See Grayson, GA salary details

$78.4K

$136.7K

$231.1K

How much do associate statistical programmer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for associate statistical programmer in Grayson, GA is $136,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What is an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

What are the key skills and qualifications needed to thrive as an Associate Statistical Programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.
Infographic showing various Associate Statistical Programmer job openings in Grayson, GA as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,677 per year, or $65.7 per hour.
Lead Data Scientist

Lead Data Scientist

Smarsh

Atlanta, GA • Remote

Full-time

Posted 16 days ago


Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You’ll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior—including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.