Responsibilities:

- Develop and integrate algorithms for data transfers, compliance reports, and other analyses that are useful for measuring the performance and/or delivering a successful clinical trial.

- Present information in a statistically valid and impactful way using data visualization techniques and tools such as R Shiny, Looker, and SpotFire.

- Represent the Data Science team in internal and external meetings to discuss data transfer and report requirements.

- Support Data Science process improvement activities under the guidance of the Senior Data Scientists.

- Other duties as assigned.

Requirements:

- 2+ years working in Data Science, Statistics, or Programming role, or a combination of education and experience.

- Highly analytical with a strength for analysis, math, and statistics.

- Critical thinking and problem-solving skills.

- Experience in data processing and mining.

- Analytical mind and business acumen.

- Problem-solving aptitude

- Excellent communication and presentation skills.

- Confident in data storytelling.

- Knowledge of the drug development industry and the role data plays in clinical trials.

- R programming language, Python, SQL, and SAS required.

- Education, Certifications, Licenses.

- Bachelor's degree in Mathematics, Statistics, Data Science, or related field.

- Travel Requirements.