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AI x Bio x Product at Biohub
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Interested in machine learning and challenging problems.
University of Amsterdam
Master of Science (MSc), Computational Science
September 1, 2015 – January 1, 2018
Columbia University
Master of Arts (M.A.), Biotechnology
January 1, 2012 – January 1, 2014
Siena College
Bachelor of Science (B.S.), Biology
January 1, 2012 – Present
Biohub
Product (AI & Biology)
January 1, 2026 – Present
New York, New York, United States · Remote
Chan Zuckerberg Initiative
Senior Computational Biologist/Product Manager
November 1, 2020 – Present
New York, New York, United States · Remote
Kallyope
Computational Biologist
September 1, 2017 – November 1, 2020
New York City Metropolitan Area · On-site
IBM
Machine Learning Research Graduate Research Intern (Applied)
October 1, 2016 – August 1, 2017
The Randstad, Netherlands
Merck KGaA, Darmstadt, Germany
Data Science and Digital Marketing Graduate Intern
May 1, 2016 – August 1, 2016
Greater St. Louis
ACE Venture Lab
Graduate Student Worker (Community Development)
September 1, 2015 – August 1, 2016
The Randstad, Netherlands
Columbia University in the City of New York
Senior Technician
July 1, 2013 – July 1, 2015
New York, NY
Cultural Fit Analysis
The candidate has a strong background in scientific research and product development, particularly in the intersection of biology and AI. Their experience with organizations like Biohub, Chan Zuckerberg Initiative, and IBM demonstrates a focus on innovation and impact-driven work. While the experience is highly specialized in computational biology, the 'Data Analyst' target role is a slight pivot. The candidate's diverse educational background (Computational Science, Biotechnology, Biology) and varied roles (Computational Biologist, Product Manager, Research Intern, Data Science Intern) suggest adaptability and a broad intellectual curiosity. However, the direct alignment with a pure 'Data Analyst' role, which often involves broader business data analysis beyond scientific research, is not explicitly demonstrated, potentially indicating a need to adapt to different data domains or tools.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration (facilitated communication, managed collaborator relationships, trained new lab members) and strategic thinking (developed project strategy, created original approach for recommendations). The 'Obsessed with high-velocity shipping via agentic development workflows' statement suggests a proactive and efficient operational style. The role as a Product Manager/Product Builder indicates strong communication and leadership potential.