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Remote Statistical Programmer Jobs in Downingtown, PA

Data Scientist

Conshohocken, PA ยท On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... Apply statistical and analytical techniques to solve real-world business problems and uncover ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science 6-8 years experience A postgraduate qualification ...

Qualifications โ€ข BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science โ€ข 6-8 years experience โ€ข A postgraduate ...

Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science 6-8 years experience A postgraduate qualification ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Proficiency with Microsoft Office; experience with JMP or other statistical software preferred

... workstations and/or remote servers. * Clearly communicating the results of computational ... D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or ...

Remote Statistical Programmer information

See Downingtown, PA salary details

$87.6K

$152.7K

$258.2K

How much do remote statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote statistical programmer in Downingtown, PA is $152,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $165,900.00 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 Downingtown, PA? The most popular types of Statistical Programmer jobs in Downingtown, PA are:
What are popular job titles related to Remote Statistical Programmer jobs in Downingtown, PA? For Remote Statistical Programmer jobs in Downingtown, PA, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Downingtown, PA look for? The top searched job categories for Remote Statistical Programmer jobs in Downingtown, PA are:
What cities near Downingtown, PA are hiring for Remote Statistical Programmer jobs? Cities near Downingtown, PA with the most Remote Statistical Programmer job openings:
Infographic showing various Remote Statistical Programmer job openings in Downingtown, PA as of August 2026, with employment types broken down into 4% Internship, 78% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $152,727 per year, or $73.4 per hour.

Quantitative Research Analyst - Remote

Stevens Capital Management LP

Radnor, PA โ€ข On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted 18 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements:
  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.