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Principal Developer, Data Visualization and Application Development
Job in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listed on 2026-06-01
Listing for:
Biogen, Inc.
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Responsibilities
- Create and maintain applications for required projects within the Data Visualization and Application Development team.
- Responsible for creating and maintaining macros and programs used to create statistical programming deliverables, including SDTM.
- Integrate new data standard releases with clinical study level SDTM deliverables to ensure seamless integration.
- Develop programs and utilities using various tools and languages to support integration.
- Maintain existing and develop new metadata tools to integrate across systems in the study data flow and enable automation of SDTM, supporting overall Biogen efforts in streamlining data flow and data review.
- Create and maintain programs to support and enhance under‑represented populations in Biogen’s clinical trials.
- Create and develop dashboards for overall utilization and workload of functional service providers for better assessment and redistribution of tasks and ownership.
- Develop, project manage and maintain SharePoint site for functional groups.
- Work on complex algorithms and coding to integrate all SDTM specifications and database specifications.
- Build governance database to create a repository of all governance requests so requests and guidance can be tracked.
- Create and provide training on R to SAS programmers.
- Bachelor’s degree (or foreign equivalent) in Data Analytics, Information Systems, Information Technology or a related field, and four years of experience in the offered position or in a Principal Developer, Data Visualization and Application Development‑related occupation.
- 24 months of experience in working with CDISC data standards, developing applications that facilitate data or components of a Clinical Study Report intended for submission to a regulatory body, working within a GxP‑compliant computing environment, and knowing regulatory requirements for software used in clinical trials, including familiarity with FDA 21 CFR Part 11.
- Four years of experience in developing and optimizing R programs using packages such as dplyr, data.table, and tidyr for efficient extraction, transformation, and analysis of large datasets; creating dynamic visualizations with Plotly, ggplot2, RColor
Brewer, and Leaflet; generating and maintaining markdown validation reports with knitr; developing custom R functions with purrr, dplyr, and stringr; building data‑driven applications with the R Shiny framework; performing rigorous QC/QA validation checks with R packages and producing consolidated report outputs; upholding strong documentation practices, adhering to best coding standards in R, and managing version control with Azure Dev Ops or Git Hub Repos;
independently managing software projects to completion; assessing data models and applying them to existing data; and working with stakeholders to identify user requirements and independently creating or optimizing solutions.
Telecommuting permitted up to 20%.
Salary$122,000 to $177,000 per year.
Hours9:00 a.m. to 5:00 p.m., Monday – Friday, approximately 40 hours per week.
Job LevelManagement.
Benefits- Medical, Dental, Vision, and Life insurances.
- Fitness & Wellness programs including a fitness reimbursement.
- Short- and Long-Term Disability insurance.
- Minimum 15 days of paid vacation and additional end-of-year shutdown time off (Dec 26 – Dec 31).
- Up to 12 company paid holidays plus 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.
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.
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