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Remote Statistical Programmer Jobs in Peekskill, NY

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Peekskill, NY

Remote Statistical Programmer information

See Peekskill, NY salary details

$88.3K

$153.9K

$260.2K

How much do remote statistical programmer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote statistical programmer in Peekskill, NY is $153,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,600.00 and $167,200.00 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.
More about Remote Statistical Programmer jobs
What cities near Peekskill, NY are hiring for Remote Statistical Programmer jobs? Cities near Peekskill, NY with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you

Sr. AD, Business Analytics - CRM (Remote)

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT • On-site, Remote

$170K - $269K/yr

Full-time

Posted 7 days ago

Job description

Compensation Data
The base salary range for this position is $170,000 to $269,000.00. The position may be eligible for a role specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits please click here.
Description
The Sr. Associate Director of Business Analytics is responsible for supporting BIPI Sales, Marketing and the Payor team in the following key areas: physician targeting, segmentation, sample optimization, analysis and reporting on the effectiveness of sales and marketing promotional strategies, and performance monitoring. Responsibilities include the conducting, interpretation and communication of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), support brand/field force planning activities and serve as inputs to the forecasting process.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
  • Provide reliable and accurate reports, analyses and recommendations to senior business leaders to support decision making on promotional strategies and effectiveness.
  • Conduct advanced analytics to brand teams and customer channels in support of brand planning and resource allocation across promotions and channels.
  • Liaison between Marketing and Sales in the development of business tactics and strategies.
  • Communicate insightful and meaningful results to and understand needs of senior brand and corporate managers and share strategic direction with Business Analytics staff. Be able to present to and influence senior management and advice on strategic direction, where required.
  • Develop the technical/behavioral competencies in analysts/department staff through the design and execution of ongoing knowledge sharing and training initiatives.
  • Independently lead strategic projects that inform and impact significant business decisions.

Requirements
  • Bachelor's degree from an accredited institution required.Master's/PhD preferred.
  • BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Masters degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience. Experience must also include working directly with product segmentation, benchmarking, score-carding, targeting, and promotion-response modeling.
  • Strong statistical background with extensive modeling experience.
  • Proficiency in SAS and other data extraction and analytical tools such as SQL. Experience with Excel and Power Point.
  • Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.
  • Functional competencies: Analytical skills, Business orientation, influence
  • AI experience prefered
  • DTC experience prefered

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