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Remote Statistical Programmer Jobs in Marcus Hook, PA

micro1 AI

Director of Biostatistics

Philadelphia, PA · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Data

micro1 AI

Director of Biostatistics

Philadelphia, PA · Remote

$60 - $100/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply

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See Marcus Hook, PA salary details

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$143.7K

$243K

How much do remote statistical programmer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote statistical programmer in Marcus Hook, PA is $143,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $156,100.00 per year, depending on experience, location, and employer.

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 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 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.

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Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Marcus Hook, PA as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution, with an average salary of $143,722 per year, or $69.1 per hour.

Senior Director, Statistical Programming

Wayne, PA • On-site, Remote

Aclaris Therapeutics, Inc.
Pharmaceutical and Medicine Manufacturing • 51 - 200 employees
Learn more about Aclaris Therapeutics, Inc.external

Full-time

Posted 11 days ago

Key responsibilities

  • Lead the statistical programming team by creating workflows, standards, and SOPs.

  • Manage programming timelines and oversee the work of CROs and external vendors.

  • Review and check SAS programs to ensure they meet study requirements and provide support for data review and reporting activities.

Job description

Description
Position Summary:
The Senior Director, Statistical Programming leads our data and analytics efforts. In this role, you will build and manage the statistical programming strategies, SAS frameworks, and team standards needed to support Aclaris's clinical programs. You will manage programmers and CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests. This role will be hands-on initially with the opportunity to build the function as our clinical programs advance.
Essential Duties and Responsibilities:
  • Lead the statistical programming team by creating clear workflows, standards, and standard operating procedures (SOPs).
  • Manage programming timelines for clinical studies and oversee the work of CROs and external vendors.
  • Partner with Biostatistics, Data Management, Clinical Operations, Regulatory, Pharmacovigilance, and other functions to deliver high-quality data deliverables in timely fashion.
  • Help develop new data review tools and reporting applications alongside the Biostatistics team.
  • Review and check SAS programs created by CROs to ensure they meet standard (e.g., SDTM, ADaM) and custom (e.g., non-standard datasets and TFLs) study requirements.
  • Develop SAS infrastructure and programming processes to make routine reporting and ad hoc data requests more efficient.
  • Review and provide expert feedback on study documents like SAPs, DMPs, CRFs, data and TFL programming specifications.
  • Hire, train, and mentor a team of programmers to support our growing clinical trials.
  • Run ad hoc data analyses as needed to support business decisions.

Additional Responsibilities:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Requirements
Required Education and Experience:
  • Master's Degree in Statistics, Biostatistics, Mathematics, or a related field.
  • At least 10 years of clinical trial programming experience in the pharma or biotech industry.

Required Knowledge, Skills, Abilities & Behaviors:
  • Strong SAS programming skills, with some experience using other tools like R.
  • Deep understanding of CDISC standards, including SDTM, ADaM, and controlled terminologies.
  • Great organizational skills and the ability to balance multiple tasks in a fast-paced environment.
  • Strong communication skills and the ability to explain technical data concepts to other teams.
  • Proven experience managing CROs and external data vendors.
  • A supportive leader who values a collaborative and psychologically safe team environment.
  • Good working knowledge of FDA, EMA, and ICH regulatory guidelines.
  • Comfortable working and leading in a fully remote, virtual environment.
  • Willing and able to travel for business as needed.

Apply