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Internship Remote Statistical Programmer Jobs in Worcester, MA

micro1 AI

Director of Biostatistics

Worcester, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Leidos

Relay Settings Engineer

Framingham, MA · On-site +1

$57K - $104K/yr

Fully remote is only available for mid level candidates with a minimum of three years of relay ... engineering internship. Junior candidates must be able to work a hybrid schedule in either ...

Fresenius Medical Care

Supply Chain Analyst II

Waltham, MA · On-site +1

$86K - $90K/yr

A. company, Waltham, Massachusetts (Remote) Responsible for determining opportunities to automate ... statistical programming, and simulation modeling. Requirements: Position requires a Bachelor ...

micro1 AI

Director of Biostatistics

Worcester, MA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ...

CVS Health

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Machine learning, statistical analysis, and predictive modeling; Programming in R, Hadoop, or ...

All JobsStatistical Programmer JobsInternship Remote Statistical Programmer JobsInternship Remote Statistical Programmer Jobs in Worcester, MA

Internship Remote Statistical Programmer information

See Worcester, MA salary details

$84.3K

$147K

$248.5K

How much do internship remote statistical programmer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for internship remote statistical programmer in Worcester, MA is $146,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $159,700.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

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Internship Remote Statistical Programmer jobs near you

Remote Biostatistics Consultant- Part Time

Sigma Systems, Inc.

Marlborough, MA • Remote

Part-time, Contractor

Posted 2 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