Premi Haynes
About Premi Haynes
Premi Haynes is a Principal Scientist at Bristol Myers Squibb and a Scientific Advisor at Friends of FSH Research, with over 10 years of experience in drug target and biomarker identification.
Title and Current Role
Premi Haynes currently holds the position of Principal Scientist at Bristol Myers Squibb in Seattle, Washington, United States. In her role, she is involved in leading scientific research and development activities. Additionally, she serves as a Scientific Advisor for Friends of FSH Research.
Professional Experience
Premi Haynes has a robust professional background in the scientific field. She has held several notable positions, including Senior Scientist and Scientist II at Bristol Myers Squibb, where she worked from 2020 to 2023. Before that, she contributed as Scientist I and Scientist II at NanoString Technologies, Inc. for a total of 16 months. She also has experience working in academic settings, having served as a Postdoctoral Research Scientist at the University of Washington and as a Graduate Research Assistant at the University of Kentucky.
Education and Expertise
Premi Haynes earned her Doctor of Philosophy (PhD) in Cell Physiology from the University of Kentucky. Prior to that, she completed a Master of Science (MS) in Biology from Morehead State University and a Bachelor's degree in Biology from the University of the Cumberlands. Her extensive education underpins her expertise, which includes high throughput screening, flow cytometry, and cell biology. She is adept at maintaining various cell lines and developing cell-based assays.
Research Contributions and Scientific Publications
Throughout her career, Premi Haynes has contributed significantly to the scientific community. She has published 8 scientific papers, delivered 7 scientific talks, and presented 30 posters at various conferences, showcasing her research findings and advancements.
Technological Proficiency and Analytical Skills
Premi Haynes has established NGS pipelines using Amazon Web Services (AWS) to analyze HiSeq and MiSeq data with tools like SAMtools and Burrows-Wheeler Aligner (BWA). Her analytical skills extend to statistical analysis using t-tests, ANOVA, and software like R, JMP, and Excel. Her extensive hands-on experience also includes developing various cell-based assays and high-content imaging techniques.