Name: Data Careers in Biotech
Start: 2024-08-05T17:30:00-07:00
End: 2024-08-05T18:30:00-07:00

**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](https://www.linkedin.com/in/anishasuri/)** 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](https://www.linkedin.com/in/lindsey-osimiri-54710047/)** 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](https://www.linkedin.com/in/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](https://www.linkedin.com/in/marissa-hirst-2833b167/)** 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.

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