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Contract R Programmer Jobs in Arlington, MA (NOW HIRING)

S&R Corporation

Project Engineer

Lowell, MA · On-site

$90 - $130/hr

Work directly with S&R Corporation Superintendent and Project Team and assist with overall ... Identify contract document conflicts and recommend solutions. * Ensure construction work complies ...

S&R Corporation

Project Engineer

Lowell, MA · On-site

$90K - $130K/yr

Work directly with S&R Corporation Superintendent and Project Team and assist with overall ... Identify contract document conflicts and recommend solutions. Ensure construction work complies ...

S&R Corporation

Assistant Superintendent

Lowell, MA · On-site

$100K - $150K/yr

S&R Corporation is seeking a driven Assistant Superintendent to join our full-time team in Lowell ... Engineering degree is preferred, and experience with AutoCAD, Primavera P6, or Bid2Win is a plus.

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Contract R Programmer information

What is a contract R programmer?

Contract R Programmers are professionals who are hired on a temporary or project basis to develop, maintain, and optimize code using the R programming language. They often work with organizations that require expertise in statistical computing, data analysis, or visualization for a specific period or project. These programmers may be responsible for tasks such as data cleaning, model development, report generation, or automating data processes. Contract R Programmers typically work remotely or on-site, depending on the client's needs, and are valued for their flexibility and specialized skills.

What are the key skills and qualifications needed to thrive as a contract R programmer?

To thrive as a Contract R Programmer, you need strong proficiency in R programming, statistical analysis, and a relevant educational background in statistics, computer science, or a related field. Experience with tools like RStudio, version control systems (e.g., Git), and familiarity with packages such as tidyverse or Shiny is highly beneficial. Excellent problem-solving abilities, clear communication, and adaptability are standout soft skills for collaborating with clients and teams. These skills are essential for delivering accurate, efficient, and client-focused data solutions in diverse and often fast-paced contracting environments.

What are some common challenges faced by contract R programmers when working with diverse datasets from multiple clients?

Contract R Programmers often encounter challenges related to inconsistent data formats, varying data quality, and differing documentation standards across clients. Adapting to each client's data infrastructure and expectations requires flexibility and strong communication skills. Successful contract programmers prioritize clear documentation, proactive clarification of requirements, and efficient data cleaning techniques to deliver accurate analyses and maintain client satisfaction.

What is the difference between Contract R Programmer vs Data Analyst?

AspectContract R ProgrammerData Analyst
CredentialsProficiency in R, relevant certifications (e.g., R certifications), sometimes a degree in statistics or computer scienceDegree in statistics, data science, or related field; proficiency in data tools including R, Excel, SQL
Work EnvironmentProject-based, freelance or temporary roles, often remote or client-siteFull-time or part-time employment, typically in office or remote settings
Industry UsageUsed across healthcare, finance, research, and tech industries for statistical analysis and data modelingCommon in marketing, finance, healthcare, and business sectors for data interpretation and reporting

The main difference is that a Contract R Programmer specializes in R programming for specific projects, often on a freelance basis, while a Data Analyst performs broader data interpretation and reporting, usually as a full-time employee. Both roles require strong analytical skills and familiarity with data tools, but their work scope and employment type differ.

Are Contract R Programmers in demand?

Contract R programmers are in demand due to the growing need for data analysis, statistical modeling, and data visualization across industries such as healthcare, finance, and research. Skills in R, along with experience in data manipulation and reporting, increase employability in freelance or temporary roles, especially for projects requiring specialized statistical expertise.

How much do contract R programmers make in the US?

Contract R programmers in the US typically earn between $40 and $80 per hour, depending on experience, project complexity, and location. Senior or specialized programmers with advanced skills in data analysis and statistical modeling can command higher rates, often exceeding $100 per hour. Compensation may also vary based on whether the work is freelance or through staffing agencies.

What careers use R programming?

R programming is widely used in data analysis, statistical modeling, and research roles across industries such as healthcare, finance, marketing, and academia. Careers include data scientist, biostatistician, data analyst, and research analyst, often requiring knowledge of statistical techniques and data visualization tools like ggplot2. R is also used in machine learning and predictive modeling environments.
Contract R Programmer jobs near you

Remote Biostatistics Consultant- Part Time

Sigma Systems, Inc.

Marlborough, MA • Remote

Part-time, Contractor

Posted 3 days ago

New

Job description

37573578 Remote Biostatistics Consultant- Part Time 6 Months Contract
Sigma Systems is currently looking for a Remote Biostatistics Consultant

This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.The consultant will support statistical deliverables within SMPA's oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Responsibilities:

  • Lead Statistical Efforts: Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
  • Provide Technical Guidance: Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed
  • Communication Skills: Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences
  • Collaboration: Proven ability to work effectively as part of a cross-functional team
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
  • Statistical Expertise: In-depth knowledge of statistical methods and their application in oncology clinical trials
  • Software Proficiency: Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.
  • Data Standards: Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specification
  • Quality Control: Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs.

Requirements:

  • PhD or MS in statistics or biostatistics
  • Ideal 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
  • Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
  • Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
  • Experience with Bayesian modeling and Analysis
  • Experienced with SAS programming, R programming and other statistical software