Data Analyst

Position overview

The Data Analyst will work with pharmacometricians, pharmacologists, and senior scientists to create analysis-ready datasets and interpret confidential clinical/nonclinical data. The Data Analyst will receive personalized training and mentorship by senior scientists on our cutting-edge technology and methodology to support our clients’ drug development programs. The ideal candidate is a strong programmer, organized, detail-oriented, and a team player. This position is onsite at our Ann Arbor office. Prior knowledge about pharmacology/pharmacometrics is NOT required.

Specific responsibilities

• Write reproducible code to create analysis-ready datasets for use in modeling and simulation
• Observe and interpret data trends and analyze data using statistical methods
• Prepare tabular and graphical data summaries
• Assist pharmacometricians in model development and performing model-based simulations
• Participate in quality control processes for pharmacometrics pipelines, ensuring accuracy and reliability
• Maintain and develop detailed documentation on procedures, results, and methodologies
• Communicate scientific aims and results to both internal team members and clients

Qualifications

• BS or Master’s degree in quantitative sciences, biostatistics, statistics, engineering, or data science
• Excellent communication and interpersonal skills
• Ability to work collaboratively in a team-oriented environment
• Programming experience with R software is desirable. Other programming languages are also welcome
• Candidates should possess strong data management, analytical, and organizational skills, with the ability to adapt and adjust to changing priorities
• Experience in application of time-to-event (survival) analyses is a plus