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Self Employed Data Analyst R Programming Jobs in New York, NY

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

Data Analyst

New York, NY ยท On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Partner with Data Engineers toalign onlogic and data source integration. * Define and implement ... Preferred * Experience with Python or R for data manipulation and analysis. * Familiarity with ...

Partner with Data Engineers toalign onlogic and data source integration. * Define and implement ... Preferred * Experience with Python or R for data manipulation and analysis. * Familiarity with ...

Senior Data Analyst

New York, NY ยท On-site

$123K - $165K/yr

This role will build strong relationships and partner closely with Product, Engineering, Data ... Experience with Python and/or R for statistical analysis and model building. * Experience with ...

... R, or other statistical programming language Strong quantitative aptitude, desire to learn new ... Strong attention to detail Demonstrated organizational skills, self-motivation, flexibility, and ...

... R, or other statistical programming language Strong quantitative aptitude, desire to learn new ... Strong attention to detail Demonstrated organizational skills, self-motivation, flexibility, and ...

Showing results 21-40

Self Employed Data Analyst R Programming information

See New York, NY salary details

$37.2K

$90.4K

$148.8K

How much do self employed data analyst r programming jobs pay per year?

As of Aug 9, 2026, the average yearly pay for self employed data analyst r programming in New York, NY is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and modeling to clients. Being self-employed requires managing your own schedule, finding clients, and handling business aspects like contracts and taxes.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

Are self employed data analyst R programmers in demand?

Self-employed data analysts skilled in R programming are in demand due to the growing need for data analysis across industries. Proficiency in R, along with strong statistical and data visualization skills, increases job opportunities for freelance or independent consultants. Demand is driven by the increasing reliance on data-driven decision making and the availability of remote work options.
What are the most commonly searched types of Data Analyst R Programming jobs in New York, NY? The most popular types of Data Analyst R Programming jobs in New York, NY are:
What cities near New York, NY are hiring for Self Employed Data Analyst R Programming jobs? Cities near New York, NY with the most Self Employed Data Analyst R Programming job openings:
Infographic showing various Self Employed Data Analyst R Programming job openings in New York, NY as of June 2026, with employment types broken down into 18% Internship, 70% Full Time, 6% Part Time, and 6% Temporary. Highlights an 88% In-person, and 12% Hybrid job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Senior Statistical Analyst

2T Consulting

Cliffside Park, NJ โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.