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Internship R Statistical Programmer Jobs in Massachusetts

Essential Functions: • Derives, compiles and formats data and structures for statistical analysis ... in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming ...

Principal Biostatistician

Boston, MA · Hybrid

$174.80K - $262.20K/yr

Develops breadth of knowledge across related disciplines with a drug developer mindset. Knowledge and Skills: In-depth experience with SAS and R statistical software Demonstrated understanding of ...

Principal Biostatistician

Boston, MA · On-site

$174.80K - $262.20K/yr

... developer mindset. Knowledge and Skills: • In-depth experience with SAS and R statistical software • Demonstrated understanding of advanced statistical methods used in drug development • ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

Deep expertise with CDISC standards and modern statistical programming languages and tools (e.g., SAS, R, Python) and their application in validated environments Hands-on leadership establishing and ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

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Internship R Statistical Programmer information

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the most commonly searched types of R Statistical Programmer jobs in Massachusetts? The most popular types of R Statistical Programmer jobs in Massachusetts are:
What are popular job titles related to Internship R Statistical Programmer jobs in Massachusetts? For Internship R Statistical Programmer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Massachusetts look for? The top searched job categories for Internship R Statistical Programmer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Internship R Statistical Programmer jobs? Cities in Massachusetts with the most Internship R Statistical Programmer job openings:
Infographic showing various Internship R Statistical Programmer job openings in Massachusetts as of May 2026, with employment types broken down into 59% Full Time, 39% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Sr Principal Analyst, Statistical Programming

Sr Principal Analyst, Statistical Programming

Biogen

Cambridge, MA • On-site

$141K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Biogen rating

9.2

Company rating: 9.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

3rd of 71 rated pharmaceutical


Job description

About this role
The Senior Principal Analyst, Statistical Programming leads and oversees statistical programming activities of internally and externally through vendors in the application of data standards, production of analysis datasets, analysis dataset specifications, tables, listings, figures, electronic submission components (define.xml and XPTs), and ad hoc analyses. He/She partners with Biostatistics to deliver high quality, submission ready statistical outputs.
This person is also responsible for providing input to the Statistical Programming Portfolio Lead (PL) on overall study timelines, monitoring and meeting agreed upon program(s) milestones, escalating issues as needed to their DM counterpart and estimating resources needs. He/She leads a drug program team of statistical programmers to accomplish tasks and communicate issues, as necessary, to senior management. This includes communication and quality oversight of the vendor. He/She is comfortable representing the Statistical Programming perspective to the study team or Clinical Development Team and is often the sole functional representative.
The Senior Principal Analyst, Statistical Programming helps to implement the Data and Programming Strategy, provides input to the Data Standards personnel and DM on the strategic direction of the program, partners with the PL to ensure appropriate statistical programming standards implementation and serves as reference for the study to Data Standards personnel. He/She develops and implements standard programming practices while also ensuring that they are employed across a study or program. He/She collaborates on tools and process improvement for Statistical Programming.
This is a hybrid position that requires in-person workdays at our facilities in Cambridge, MA
What you'll do
  • Leads, coordinates and manages timely creation, oversight, review, completion, and delivery of statistical programming activities and deliverables of study projects via internal and/or external staff oversight.
  • Considered a statistical programming expert within the department. Authors CDISC ADaM (analysis data model) analysis data set specifications including the identification of potential data issues or areas of critical data examination. Works with statistics on defining and documenting programming endpoint algorithms across a study, drug program and/or contributing to TA level algorithms.
  • Manage the end-to-end programming of deliverables through from CRF collections through electronic submission including preparation of electronic submissions (ESUB) components (input to reviewer's guides, annotated CRF, define and XPTs), works with SMEs to ensure compliance to eSUB standards.
  • Identifies process inefficiencies and lead efforts to remedy the inefficiencies and train the department on the new processes in conjunction with DVAD and PON.
  • Serves as the Statistical Programming Lead to achieve milestones for a drug program; evaluates task objectives, collaborates with PL and/or manager on issues or resource needs.
  • Verifies program consistency and usage of data, analysis and submission standards across the department in consultation with data standards, statistical submissions management and the data strategy plan.
  • Informs internal and external project team members of statistical programming requirements, deliverable status, and resource needs.

Who you are
You are a senior principal analyst with strong statistical programming skills to effectively lead and collaborate across functions. You pay close attention to detail and have the proven ability to manage some competing priorities. You believe in and live by Biogen's culture essentials in pioneering, think broadly, drive results, ethical and inclusive.
Required Skills:
• Bachelor's degree required, Masters or PhD in Statistics or Mathematics preferred.
• 10 years relevant work experience within an organization with a focus on data management and analysis.
• 10+ years SAS Base programming with 7+ years using SAS STAT, GRAPH and MACRO.
• 10+ years relevant industry experience.
• 10+ years clinical trial experience.
• 5+ years clinical database experience.
• CDISC and/or submissions experience.
• Extensive knowledge of drug development process and clinical trials.
• Extensive knowledge of drug submission requirements, relevant ICH and FDA/EMEA/ROW guidelines.
• Familiarity with UNIX as well as software development packages (R, Imaging and Genomics software packages).
• Familiarity AI and ML concepts.
Job Level: Management
Additional Information
The base compensation range for this role is: $141,000.00-$188,000.00
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees' and their families physical, financial, emotional, and social well-being; including, but not limited to:
  • Medical, Dental, Vision, & Life insurances
  • Fitness & Wellness programs including a fitness reimbursement
  • Short- and Long-Term Disability insurance
  • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
  • Up to 12 company paid holidays + 3 paid days off for Personal Significance
  • 80 hours of sick time per calendar year
  • Paid Maternity and Parental Leave benefit
  • 401(k) program participation with company matched contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Employee Resource Groups participation

Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

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About Biogen

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At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

1978

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