2

Remote Statistical Programmer Jobs in Bloomington, IL

Remote Statistical Programmer information

See Bloomington, IL salary details

$81.1K

$141.3K

$238.8K

How much do remote statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote statistical programmer in Bloomington, IL is $141,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $153,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
What are the most commonly searched types of Statistical Programmer jobs in Bloomington, IL? The most popular types of Statistical Programmer jobs in Bloomington, IL are:
What are popular job titles related to Remote Statistical Programmer jobs in Bloomington, IL? For Remote Statistical Programmer jobs in Bloomington, IL, the most frequently searched job titles are:
What cities near Bloomington, IL are hiring for Remote Statistical Programmer jobs? Cities near Bloomington, IL with the most Remote Statistical Programmer job openings:
Infographic showing various Remote Statistical Programmer job openings in Bloomington, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,287 per year, or $67.9 per hour.

Forward Deployed Engineer (Remote)

Maybern Solutions, Inc

Atlanta, IL โ€ข On-site, Remote

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Who We Are
Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology: an operating system with deterministic guard rails underneath, agents on top. Maybern is founded by top engineering experts with deep knowledge of the fund management space.
Private funds manage $15T in capital and are growing at 20% YoY, but with increasing regulatory scrutiny and investor demands for transparency, the need for more modern, fully agentic solutions to help private fund CFOs is crucial.
This is where Maybern comes in.
We are equipping fund managers with a fully agentic operating system for private fund management, enabling private investment managers to focus on what they do best: driving returns for their investors. We are backed by leading venture capital firms and a large number of strategic investors.
Maybern is an NYC based company with a strong in-office culture to drive collaboration, and we are looking to make strong additions to our team.
What We're Looking For
Maybern is building the operating system for agentic fund management, and Forward Deployed Engineering is where that meets the real world. Our FDE team partners directly with some of the largest private funds on the planet to build high-value systems that extend the Maybern platform: production AI, decision support, forecasting, optimization, scenario analysis, formalized workflow logic, and high-assurance automation. This is not a lab. Engagements are signed and running today, and the systems you build will go into production at firms managing tens of billions of dollars.
We are looking for engineers who can own real customer problems and grow fast doing it. You should be comfortable operating where customer ambiguity, quantitative modeling, AI reliability, workflow design, and product abstraction all meet. The career ladder is defined (FDE to Senior FDE to Principal), promotion follows performance rather than tenure, and compensation is built for outperformance: competitive base, equity, and a tiered performance bonus where top performers can earn up to 35%.
What You'll Do
  • Own forward-deployed engagements from discovery through production adoption, with your scope growing as fast as your independence earns it
  • Architect and build custom systems across AI, forecasting, optimization, simulation, and decision-support workflows
  • Design application patterns that connect Maybern's platform to customer-specific logic, data, and operating processes
  • Build the evaluation, control, and validation frameworks that make AI trustworthy when a client's business depends on the output
  • Work directly with senior stakeholders at sophisticated private markets firms as a trusted technical advisor
  • Turn messy, real-world data into production systems: extraction, agentic workflows, automation, and the QA and nuance that separate working systems from demos
  • Identify when bespoke work should become reusable product capability or shared platform infrastructure
  • Help define standards, technical direction, and operating practices for a function you're joining at the ground floor

Who You Are
  • Architect. You design application patterns that connect platform, customer logic, and data, picking the right level of rigor for the stakes.
  • Customer Partner. You serve as a trusted advisor to senior customer stakeholders and translate rigor without losing precision.
  • Production-AI Builder. You think past the happy path. You care how a system behaves when the data is messy, how errors get caught, and how AI holds up when someone else's business runs on it.
  • Driven by Outcomes. You are competitive, high-ownership, and motivated by impact and upside. You think in terms of the ROI of your work, not just the deliverable.
  • High-Standards Builder. You hold a high bar for clarity and reliability in domains where approximation isn't enough.

This Could Be a Great Fit If You Have...
  • 3+ years of experience in software engineering, machine learning, quantitative systems, applied research, or forward-deployed technical work with significant ownership
  • A record of leading ambiguous, customer-facing technical initiatives, or clear evidence you're ready to
  • Deep strength in Python, SQL, system design, and analytical application architecture
  • Applied AI experience with real attention to evaluation, reliability, and production deployment, meaning AI systems other people depend on, not one-off prototypes
  • Deep quantitative reasoning across modeling, inference, optimization, simulation, statistics, or decision systems
  • Excellent communication and stakeholder management
  • Strong taste in balancing speed, rigor, and trust in high-stakes environments

Bonus Points if You Have...
  • Familiarity with the Snowflake AI Data Platform as a strong starting point for architecting data, analytics, and AI workflows, though this is not required
  • Experience designing custom applications in finance, capital markets, enterprise decision systems, or similarly complex domains
  • Experience with optimization, probabilistic systems, simulation engines, or mathematical modeling platforms
  • Experience with formal verification, theorem proving, formal methods, or machine-checkable logic
  • Experience turning bespoke customer systems into reusable product or platform primitives
  • Experience mentoring engineers and raising the bar on technical execution
  • Private markets experience
Benefits
  • We offer a competitive salary + equity package, comprehensive benefits, and a flexible family-friendly work environment. Some of our perks include:
    • Comprehensive healthcare benefits
      • Maybern covers 100% of medical, dental, and vision premiums
      • HSA & FSA plans
    • Family-Friendly policies
      • Paid parental leave
    • Flexible schedule
      • Flexible PTO / sick leave
      • WFH as needed to fit your needs
    • 401k