• Utilize statistical and machine learning techniques, high performance data architectures and technologies to build algorithms and perform data analytics. • Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions. • Document best practices and solution frameworks. • Collaborate with team members to develop analytical techniques. • Utilize programming skills in SAS, SQL, SPSS and R or Python to create and design new reports independently. • Conduct in-depth data analysis to develop and test hypotheses. • Provide guidance to other team members on building basic models. • Communicate and present analytical findings to other investigators. • Identify innovative technologies available for analytical areas. • Interpret research protocols and run statistical analysis. • Develop and refine machine learning models to support research and data-driven insights. • Generate charts, graphs and other visualizations to clearly communicate analytical findings. • Assist with scientific publications by preparing data outputs, figures, and supporting documentation.