Elizabeth A. Tindall

Elizabeth A. Tindall

Principal Scientist @ Bristol Myers Squibb

About Elizabeth A. Tindall

Elizabeth A. Tindall is a Principal Scientist at Bristol Myers Squibb in San Diego, California, with extensive experience in computational biology and wet-laboratory research.

Current Position at Bristol Myers Squibb

Elizabeth A. Tindall is currently employed at Bristol Myers Squibb as a Principal Scientist in San Diego, California. Her role involves significant wet-laboratory experience, and she takes part in interdisciplinary projects, applying her extensive background in computational biology and large scale omics data analysis.

Previous Roles at Bristol Myers Squibb

Before her current position, Elizabeth worked as a Senior Scientist, Computational Biology at Bristol Myers Squibb from 2020 to 2021. In this role, she focused on processing and analyzing large scale omics datasets, including genomic, epigenomic, transcriptomic, and epidemiological data.

Experience at Celgene

Elizabeth served as a Senior Scientist, Computational Biology at Celgene from 2018 to 2020. During her tenure, she worked on various programs ranging from early to late-stage drug discovery as well as early to late phase clinical trials, showcasing her ability to work in multi-disciplinary environments.

Educational Background

Elizabeth A. Tindall holds a Doctor of Philosophy in Cancer Genetics from The University of New South Wales, Australia, obtained in 2010. She also earned a Bachelor of Science (Honors) in Microbiology from Monash University in 2004 and a Bachelor of Science in Biotechnology from The University of Newcastle, Australia, in 2003.

Early Career and Research Experience

Elizabeth's early career includes roles such as Research Officer at the Lowy Cancer Research Centre, based in Sydney, Australia, and a Research Associate at the Garvan Institute of Medical Research. She also held post-doctoral positions at The Scripps Research Institute and the J. Craig Venter Institute, where her work included microbiome analysis and large scale omics data handling.

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