Contribute to transforming complex data into actionable insights that drive strategic business decisions.
Work closely with cross-functional teams to collect requirements, analyze data, and develop scalable solutions using advanced analytics tools.
Develop and maintain interactive dashboards and reports using tools like Power BI to provide crucial business intelligence across the organization.
Through SQL queries and data analysis, identify trends, discover opportunities for improvement, and make data-driven recommendations.
Directly impact key performance indicators and strategic initiatives while maintaining the highest standards of data quality and integrity.
Enhance processes, automate workflows, and implement innovative solutions.
Serve as a technical resource for stakeholders, providing training and support while maintaining strong partnerships across the organization.

MS/MA degree in computer science, epidemiology, statistics, biostatistics, mathematics is preferred.
Bachelor's degree in computer science, epidemiology, statistics, biostatistics, mathematics or related field is required.
A minimum of 3 years experience that provides the knowledge, skills and abilities to perform the job requirements with a bachelor degree OR 1 year of experience with a masters degree.
Experience in quantitative methods in the statistical analysis of clinical data using SAS (e.g., SAS Base, SAS Stat, SAS Macro) is required.
Experience and working knowledge of CDISC standards and ability to deliver projects with SDTM/ADaM is required.
Experience programming in R is required.
Experience and working knowledge of regulatory submissions (NDA, BLA) is preferred.
Strong SQL skills with ability to write complex queries and manipulate large datasets.
Experience with data visualization best practices and dashboard development.
Expertise in Microsoft Excel including pivot tables, VLOOKUP, and advanced functions.
Knowledge of statistical analysis and forecasting methodologies.
Experience with ETL processes and data warehouse concepts.
Programming skills in Python, R or similar languages preferred.
Strong analytical and problem-solving abilities.

Must be legally authorized to work in the United States without sponsorship.
Must be able to pass a comprehensive background check, which includes a drug screening.

Programmer Analyst II, SAS, CDISC, Clinical Trials

Key skills