Join us on September 18, from 4:00 – 6:00 PM (EST), for an exclusive virtual coffee chat via Zoom, hosted by the Boston Chapter of ASA. The first session is a one-hour panel discussion, focusing on the statisticians in academia, is your gateway to insights on:
- Finding full-time positions: What to look for and where to start.
- Resume Crafting: How to make your resume stand out.
- Preparing for Interviews: Tips and expected questions for interviews.
- Becoming a Full-Time Employee as an academic statistician: Skills needed and transition guidance.
Registration
Engage with distinguished panelists, each bringing unique perspectives:
Kristin Baltrusaitis is a Research Scientist at the Center for Biostatistics in AIDS Research (CBAR), Harvard T.H. Chan School of Public Health. She earned her MA and PhD in Biostatistics from Boston University. Her research interests are in sensitivity analyses for missing data in cluster randomized trials, pediatric Phase I/II clinical trial design, and transportability of clinical trial results to target populations.
Marie-Abèle Bind is an Assistant Professor of Medicine at Harvard Medical School and Assistant Investigator at MGH Biostatistics. Her research interests focus on defining the causal questions being asked by describing real or hypothetical multifactorial interventions, developing causal inference methods for quantifying the effects of randomized and non-randomized exposures on health outcomes and understanding the mechanisms explaining these health effects. Her current research has been funded by the NIH Early Independence Award program. Dr. Bind completed her joint PhD in Biostatistics and Environmental Health at the Harvard School of Public Health, working with Professors Brent Coull and Joel Schwartz. She then became a Ziff postdoctoral Fellow at the Harvard University Center for the Environment. In 2016, she was awarded an Early Independence Award (NIH High-Risk High-Reward research grant) and became Research Associate in the Department of Statistics. From 2017 to 2021, she became a John Harvard Distinguished Science Fellow.
Zeyuan Song is Senior Statistician in Institute for Clinical Research and Health Policy Studies, Tufts Medical Center. His research interest lies at the intersection of multi-omics integration, network analysis, and promoting healthy aging. He is dedicated to employ cutting-edge methodologies to analyze and integrate diverse omics data, including genomics, transcriptomics, proteomics, and metabolomics on correlated data setting. His innovative approach involves leveraging network analysis techniques to elucidate potential functional clusters within and across omics layers and revel their connections to social factors. By deciphering these complex networks, he seeks to identify key biological pathways and therapeutic targets that underpin healthy aging and longevity.
After the panel discussion with live Q&A, there will be an opportunity for attendees to participate in 1-1 coffee chats in breakout Zoom rooms. Whether you're starting to think about future career or seeking guidance for full-time employment, this coffee chat is tailored to your needs.
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Sincerely,
Wenting Cheng, Ph.D.
President, Boston Chapter of the American Statistical Association
Associate Director, Biostatistics, Biogen
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