Statistical Programming – Biometrics Co-op

Company Overview:

Beam Therapeutics is committed to establishing the leading, fully integrated platform for precision genetic medicines. To achieve this vision, Beam has assembled a platform that includes a suite of gene editing and delivery technologies and is in the process of building internal manufacturing capabilities. Beam’s suite of gene editing technologies is anchored by base editing, a proprietary technology that is designed to enable precise, predictable and efficient single base changes, at targeted genomic sequences, without making double-stranded breaks in the DNA. This has the potential to enable a wide range of potential therapeutic editing strategies that Beam is using to advance a diversified portfolio of base editing programs. Beam is a values-driven organization committed to its people, cutting-edge science, and a vision of providing life-long cures to patients suffering from serious diseases.

Position Overview:

Beam is seeking a highly talented and motivated Statistical Programming, Biometrics Co-op to join our Biometrics team from January through June 2026.  The co-op will learn to provide statistical programming support for clinical studies, learn to program CDISC datasets (SDTM/ADaM) and report the statistical summary results with tables, listings and figures. They will perform validation of datasets and tables, figures, as well as other supporting activities for the Statistical Programming group (for example, data visualization, patient profile and enhancement of existing data analysis tools). The candidate is expected to implement SAS programming methods in R and generate datasets (SDTM/ADaM) in R/Python. 

Responsibilities:

• Develop, review, and validate SAS programs to generate datasets, tables, figures and listings.
• Develop programs to generate tables and figures in R/Python.
• Support implementation of tools to facilitate the data visualization and patient profiles in R/Python.
• Support implementation of data exploration analysis in R/Python.
• Understand company SOPs and relevant industry’s standards.
• Enhance existing data analysis macro tools.
• Prepare a final presentation for the Statistical Programming group.

Qualifications:

• Currently pursuing a BS or MS in Statistics, Mathematics, Computer Science, or Engineering.
• Knowledge of R/R-Shiny or Python is preferred.
• Knowledge of SAS language, procedures, and options for clinical trial data and reporting including BASE SAS, Macro language, SAS/STAT and SAS/Graph is preferred.
• Proficient in Adobe Acrobat for annotating documents and creating consolidated files.
• Strong written, verbal, and interpersonal communication skills.
• Ability to work collaboratively as part of a team.
• Must be able to work onsite, not a remote role.
• Applicants must be currently enrolled in a degree-granting college or university program and maintain their student status throughout the duration of the co-op to be eligible.