Summary
Stav Grossfeld is a Bioinformatics Engineer with 10 years of experience building end-to-end data lakes, ML pipelines, and production-grade bioinformatics workflows for biotech and clinical sequencing. Trained with an MS in Bioinformatics from USC Keck and a background in genetics, he blends hands-on coding in Python, R, and Bash with practical use of GATK, Samtools, and spatial transcriptomics tools to deliver reproducible analyses. His work spans targeted NGS processing, alternative splicing ML models, and scalable data engineering at companies from Arcus Biosciences to BioMarin and Genentech. Comfortable communicating results to both technical and non-technical stakeholders, he also brings prior experience in large-scale SQL/Hadoop pipelines and computer vision modeling, reflecting a rare mix of genomics domain knowledge and generalist data engineering skills.
10 years of coding experience
4 years of employment as a software developer
Data Science Fellow, Data Science, Data Science Fellow, Data Science at Israel Tech Challenge <itc>
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at University of Southern California
Taking online classes at Udacity, Coursera, Dataquest.io, Taking online classes at Udacity, Coursera, Dataquest.io at MOOCs
Bachelor of Science (B.S.), Genetics, Technology Management Minor, 3.17/4.0, Bachelor of Science (B.S.), Genetics, Technology Management Minor, 3.17/4.0 at University of California, Davis
Data Science Immersive, Data Processing, Data Science Immersive, Data Processing at General Assembly
English, Hebrew