Data Careers in Biotech

Interested in pursuing a data career in the biotech industry?
Join us to find out how our panelists have successfully landed their roles and continue to advance their data careers in the biotechnology sector.

Anisha Suri is a Data Scientist, Advanced Analytics at Gilead Sciences. Her current data science interests are in the application of AI/ML techniques to inform decision making in clinical operations and study designs in the biopharma and healthcare industry. She is a passionate learner with past research experiences in laboratories for gait and mobility research, robotic sciences, and neuroimaging. She has a Ph.D. in Electrical and Computer Engineering from the University of Pittsburgh.

Lindsey Osimiri is a Senior Data Scientist at BigHat Biosciences who is excited about using computational methods and high-throughput biological data to build novel products She supports BigHat’s antibody therapeutics programs through building pipelines for high-throughput data and interactive data visualization tools. She has a Ph.D. in Bioengineering and Biomedical Engineering from UC Berkeley.

Fernanda Guizar is a Computational Biologist at Brightseed where she collaborates with domain experts, optimizing machine learning models, and standardizing pipelines for efficient data processing and extraction of valuable insights. She holds a Ph.D. in Population Biology from UC Davis.

Marissa Hirst is a Bioinformatician & Owner of Marissa Hirst, LLC. She is passionate about answering complex data-driven questions. She likes the challenges of the “messiest, most complicated, multi-omic datasets” so that she can transform them into a compelling story based on the data. She has a diverse background working on microbes to humans, and she has experience analyzing genomic, transcriptomic, and proteomic data. She has a Ph.D. in Microbiology with an Emphasis in Biotechnology from UC Davis.