Skill
Statistical Programming
Data Science, Analytics and AI/ML
Statistical programming refers to writing code, often in languages like R, Python, SAS, or Stata, to perform data analysis, build statistical models, and automate reproducible research workflows. It is a core skill for biostatisticians, data scientists, and quantitative researchers who need to manipulate large datasets and apply complex statistical procedures beyond what point-and-click software can offer. Proficiency in statistical programming enables reproducibility and scalability in data analysis pipelines.
Open roles requiring Statistical Programming (2)
Director, Statistical Programming
Bristol Myers Squibb
Full-time · $216,570 – $293,921
A leadership role overseeing statistical programming delivery for a pharmaceutical therapeutic area, requiring both technical expertise in clinical trial programming and people management experience. This is for someone with 10+ years in pharma who can drive process improvement, mentor teams, and partner with senior stakeholders to execute complex drug development programs.
Listed on Bristol Myers Squibb’s careers site · Apply there ↗
Staff Data Scientist - Ads Measurement, Signals, Privacy
Full-time · Remote - United States · $217,000 – $303,900
Reddit seeks a Staff Data Scientist to lead high-impact work in ads measurement, identity resolution, and signal quality. This role combines deep technical expertise in experimentation and statistical modeling with strategic influence across the ads organization, suited to someone with substantial industry experience and mastery of causal inference or identity graph challenges.
Listed on Reddit’s careers site · Apply there ↗
Roles that use Statistical Programming
Related skills
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