Biostatistician Internship
About the role
We are seeking a highly motivated and detail-oriented Biostatistician Intern to join our dynamic team. The successful candidate will be responsible for supporting our data analysis efforts in the field of biostatistics.
Responsibilities
- Support data analysis for research studies and drug development using SAS, Python and R programming languages.
- Contribute to the development of medical code auto-identification tools.
- Work closely with external clients (pharmaceutical companies, CROs, and medical device firms) to understand business and regulatory needs and translate them into data-driven and AI-enabled solutions.
- Support clients in developing AI tools for processing, standardizing, and analyzing clinical and biomedical data.
- Handle large-scale medical and healthcare datasets, including clinical trial data, EHR-derived data, and real-world evidence.
- Design and implement data extraction workflows from heterogeneous sources (CSV, Excel, databases, APIs, and vendor deliverables).
- Build and optimize ETL pipelines to transform raw healthcare data into analysis-ready formats.
- Automate repetitive data processing and reporting tasks to improve efficiency, consistency, and scalability.
- Collaborate with other team members to ensure the accuracy and validity of the analysis.
Requirements
Currently enrolled in a program in Biostatistics, Statistics, or a related field.
Strong knowledge of statistical analysis methods and tools.
Proficient in Python and R programming languages.
Familiarity with data visualization tools such as ggplot2 or matplotlib.
Excellent written and verbal communication skills.
Ability to work in a team environment.
Qualifications
Currently enrolled in a program in Biostatistics, Statistics, or a related field.
Strong knowledge of statistical analysis methods and tools.
Proficient in Python and R programming languages.
Familiarity with data visualization tools such as ggplot2 or matplotlib.
Excellent written and verbal communication skills.
Ability to work in a team environment.
Skills
Python programming
R programming
Data visualization
Benefits
Hands-on experience in a real-world data analysis environment.
Pay
TBD
Schedule
TBD