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Remote Statistical Programmer Jobs in Maple Grove, MN

Sr. Statistician

Minneapolis, MN ยท On-site +1

$97K - $163K/yr

Positions available: 1 (remote based, Canada or USA) Analysis Services * Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and ...

AI/ML Engineer

Minneapolis, MN ยท Remote

$106K - $131K/yr

Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based ... MUST HAVE SKILLS 1. Bachelor's degree in Computer Science, Information Systems, Statistics, or a ...

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Remote Statistical Programmer information

See Maple Grove, MN salary details

$86.5K

$150.8K

$255K

How much do remote statistical programmer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote statistical programmer in Maple Grove, MN is $150,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $163,800.00 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 popular job titles related to Remote Statistical Programmer jobs in Maple Grove, MN? For Remote Statistical Programmer jobs in Maple Grove, MN, the most frequently searched job titles are:
What cities near Maple Grove, MN are hiring for Remote Statistical Programmer jobs? Cities near Maple Grove, MN with the most Remote Statistical Programmer job openings:

Sr. Statistician

Alimentiv

Minneapolis, MN โ€ข On-site, Remote

$97K - $163K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Apply biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting.

  • Lead and develop a group of statisticians and SAS Programmers by assigning studies, managing performance, and providing training and mentorship.

  • Prepare statistical analysis plans, oversee project data collection and analysis, and ensure statistical data is included in reports and research papers according to regulatory and organizational standards.


Job description

This opening is for our Medical Research & Development team.
ย 
Responsible for the application of biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting throughout the project life cycle in accordance with project, organizational and regulatory standards. Act as subject matter expert, providing statistical support to project teams, quality/study auditors, and external stakeholders. Participate in the promotion of Alimentiv as a global research organization, by contributing to the development, publishing, and reporting of project data. Lead and develop a group of statisticians and SAS Programmers.
ย 
Positions available: 1 (remote based, Canada or USA)
Analysis Services
  • Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and prepare statistical data results for inclusion in reports and research papers that meet trial, organizational and regulatory best practices, and standards.
Academic and Project Research Support
  • Working in conjunction with the Director of Academic Research, convert and present new and novel biometrical trial technologies, processes and findings into publishable and promotable scientific processes and results.
  • Provide statistical expertise and guidance based on established methodologies throughout the project life cycle in the areas of study policies, protocols, implementation timelines and processes, data interpretation and publication of results. Work with data management team to ensure data captured incorporates and corresponds to project protocols and requirements.
Statistical Analysis/Data Collection Planning and Study Report Support
  • Prepare statistical analysis plan and oversee project data collection, management, and analysis, with input from the project teams, that incorporates the type of information collected, sample size, randomization procedures, table and listing shells, project statistical policies, protocols, and methodology to be used to appropriately translate scientific questions into statistical hypotheses.
  • Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to trial, sponsor, organizational and regulatory requirements, and best practices.
Personnel Management
  • Assign/schedule studies and tasks to functional unit to ensure project needs are met.
  • Responsible for performance management (staff evaluation, performance improvement and lost time management) of direct reports.
  • Provide direction and support to project financial coordinators and promote team development by providing coaching, mentoring, and training.
  • Develop and deliver ongoing training on document user systems, document naming and department Quality System processes to peers and stakeholders, including new employee orientation.
Qualifications
  • The successful candidate should hold a minimum of an undergraduate degree with professional certifications and 4-6 years of professional experience. A Masters' degree in Statistics or Biostatistics specialty is preferred.
  • PhD with experience in research is a strong asset.
  • Experience in the industry, or in an academic setting is preferred.
  • Very strong communication skills is a must.
Warning
  • PHISHING SCAM WARNING: Alimentiv is aware of the continued increase of phishing scams, leveraging various methods of attack via email, text, voice and social media. Please note that Alimentiv only uses company email addresses, which contain "@alimentiv.com", to communicate with candidates via email. If you are contacted by someone about an open job at Alimentiv, please verify the domain of the sender's email address and that they are asking you to apply on this website. If you believe you've been a victim of a phishing scam, please contact your local government cyber authority to report.
$97,500 - $163,000 a year
Stay Alert to Recruitment Scams
We have been made aware of individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process. Official communication will only come from our company email domains. If something doesn't feel right, we encourage you to verify before responding.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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