Summary
Jan Wildenhain is a data analytics and bioinformatics leader with 11+ years solving high-throughput biology and imaging problems across industry and academia. He combines deep technical fluency in machine learning, image analysis, cheminformatics and cloud/HPC platforms with hands-on software engineering in languages from Python and R to C# and C++. As a former Syngenta leadership team member and director-level lead at Exscientia and JW-Netsolutions, he bridges scientists, architects and CROs to deliver production-grade workflows and automation for drug discovery and phenomics. Jan’s background in biostatistics (PhD) and experience running imaging platforms for large teams give him a rare mix of rigorous quantitative insight and operational delivery. He frequently architects scalable pipelines (Docker, SLURM, AWS/GCP) and integrates specialist tools (CDK, KNIME, Pipeline Pilot) to move complex experiments from data to decision. An early career win improving Oracle GIS performance by orders of magnitude hints at his knack for practical, high-impact optimizations behind the scenes.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at The University of Edinburgh
Visiting Researcher Chemical and Synthetic Biology, Visiting Researcher Chemical and Synthetic Biology at McMaster University
BSc (Hons) Bioinformatics, BSc (Hons) Bioinformatics at The University of Auckland
Bachelor’s Degree Bioinformatics, Bachelor’s Degree Bioinformatics at Freie Universität Berlin
English, German, Russian