Jordan Cammarota
About Jordan Cammarota
Jordan Cammarota is a Senior Analyst at Analysis Group in Washington D.C., with a background in mathematics and statistics from Carleton College. He has extensive experience in healthcare data analysis and has led training workshops for new analysts.
Professional Background
Jordan Cammarota currently holds the position of Senior Analyst at Analysis Group, a role he has occupied since 2018 in the Washington D.C. Metro Area. Prior to this, he worked as an Analyst at the same firm from 2016 to 2018 in Los Angeles, California. His earlier career includes a position as a Math Fellow with Denver Public Schools from 2015 to 2016 in Denver, Colorado, and a Finance Intern role at Ecolab in 2014 in St. Paul, Minnesota.
Educational Background
Jordan Cammarota earned a Bachelor of Arts (BA) in Mathematics and Statistics from Carleton College, where he studied from 2011 to 2015. His academic pursuits provided him with a strong foundation in analytical thinking and statistical methods, which he has applied throughout his professional career.
Analytical Expertise
Jordan has extensive expertise in implementing fixed and random effects network meta-analyses using a Bayesian Markov Chain Monte Carlo approach. This method has been employed to compare the efficacy and safety of treatments in multiple disease areas. His work also includes creating physician chart review surveys to assess real-world treatment patterns for diseases such as psoriasis, ankylosing spondylitis, and psoriatic arthritis.
Healthcare Analysis Projects
In his role at Analysis Group, Jordan Cammarota has analyzed healthcare resource utilization and costs, as well as treatment adherence and persistence associated with three treatment cohorts in rheumatoid arthritis. His findings have been compiled into abstracts and posters, which were presented at prominent conferences such as the American College of Rheumatology and the European League Against Rheumatism.
Training and Mentorship
Jordan has taken on leadership roles in training workshops for new analysts at Analysis Group. He has led sessions on methods of conducting network meta-analyses and provided technical training in statistical programming languages R and SAS. His contributions help ensure that new analysts are well-equipped with the necessary skills to excel in their roles.