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Remote Statistical Programmer Jobs in Red Bank, NJ

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

... the engineering skills to build and maintain the infrastructure behind those analyses. This is a ... Develop statistical models and data science solutions while also implementing the infrastructure to ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

... the engineering skills to build and maintain the infrastructure behind those analyses. This is a ... Develop statistical models and data science solutions while also implementing the infrastructure to ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

MhyMatch

Data Scientist

New York, NY · On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... Advanced proficiency in Python and R for statistical programming and model development. * Strong ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

Twin Health

Lead Data Analyst

New York, NY · On-site +1

$130K - $140K/yr

Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ... A remote and accomplished global team * Opportunity for equity participation * Unlimited vacation ...

Next Generation, Inc.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Perform geospatial and statistical analyses, integrating and transforming datasets to meet business ...

Tristero

Junior Software Engineer (Remote)

New York, NY · Remote

$80K - $130K/yr

Exposure to devops, statistics, and system architecture While helpful, we don't require you to have experience with systems-design, golang, or crypto; we're happy to hire clever engineers and support ...

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All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Red Bank, NJ

Remote Statistical Programmer information

See Red Bank, NJ salary details

$86.7K

$151.2K

$255.5K

How much do remote statistical programmer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote statistical programmer in Red Bank, NJ is $151,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,300.00 and $164,200.00 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 Red Bank, NJ are hiring for Remote Statistical Programmer jobs? Cities near Red Bank, NJ with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you

Senior Statistical Programmer - HEOR Consulting

AIP Connect

New York, NY • On-site, Remote

$110/hr

Full-time

Re-posted 24 days ago

Job description

Our client, an innovative, client-focused boutique HEOR consulting firm is growing! We're looking for a Senior Statistical Programmer to join their team.
The ideal candidate will have a strong background in statistics or biostatistics and proficiency in statistical programming using SAS and/or R.
In this role, you will utilize real-world data to conduct a range of health care economic, clinical effectiveness, and burden of illness analyses to support pharmaceutical products throughout their life cycles across a range of disease areas.
This opportunity is for you if you're looking for an environment where you can play a big role in study design and analytics, and where you will have the opportunity to analyze and explore different types and structures of data. While this is a boutique organization, it has received significant industry recognition, and has established a growing list of clients. Therefore, you may face dynamic challenges that will require you to have an out of the box, solutions driven approach.
In this role, you will be responsible for the design and analysis of studies that inform healthcare decision-making and contribute to the development of innovative solutions for their clients. Additionally, this role is for you if you're excited about opportunities to build new data platforms.
You can expect to specifically focus on:
  • Heavy Data Manipulation: You'll be the one building analytical datasets from the ground up. This means getting into the weeds with patient selection, programming attrition counts, and working extensively with ICD-10, NDC, and CPT codes.
  • The Analyses: A significant portion of the work involves Treatment Pattern Analysis, Clinical Outcomes, and Healthcare Resource Utilization (HCRU) and Cost analysis.
  • Study Architecture: You'll collaborate with cross-functional teams to design HEOR studies, write the Statistical Analysis Plans (SAPs), and make sure the methodology is airtight.
  • Technical Mentorship: Act as a lead resource for junior staff, providing hands-on guidance on statistical methods and conducting code reviews to ensure programming best practices in SAS and R.
  • Strategic Storytelling: You'll translate complex statistical findings into clear, actionable recommendations for pharmaceutical leaders. It's about telling the story of the data, not just handing over a spreadsheet.

What You Bring To The Table
We are looking for a unique blend of technical mastery and an entrepreneurial spirit. Because of the fast-paced nature of the work, previous experience in an HEOR consulting firm is a requirement.
  • Consulting Background: You must come from an HEOR consulting firm. That fast-paced, solutions-driven mindset is non-negotiable here.
  • US Database Experience: You need to be deeply familiar with US administrative claims and EMR/EHR data.
  • Technical Stack: Expert-level proficiency in SAS and/or R is essential. If you're familiar with Python or Stata, that's a bonus.
  • The Credentials: A Master's or PhD in Biostatistics, Statistics, Epidemiology, or a related field, with at least 5 years of experience in HEOR consulting.
  • Leadership & Rigor: You have a meticulous eye for code auditing and a natural ability to mentor junior staff.

Salary range for this role is $110 - 130K.
AIP Connect believes in equal opportunity. Our recruitment consultants are committed to inclusive recruitment and selection practices and will not discriminate based on age, colour, ability, national origin, race, religion, sex, or sexual orientation.
Accessibility: If you need any accommodations during the interview process, please let us know.
Posted Salary: Actual compensation within this range will be determined based on job-related skills, relevant experience, education, and training. This range reflects base salary only and does not include eligibility for bonus program or other benefits.
For the most accurate and up-to-date details on this role, please refer directly to AIP Connect's careers page, as third-party sites may not reflect current information.
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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