Comp Bio
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Before you apply
SalaryNo pay range posted
LocationSan Diego, United States - Remote
Work moderemote
Typefull-time
SeniorityLead
DepartmentComp Bio
Company size1+ people
PostedApr 14, 2025 · 1y ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
Hands-on experience in Python for microscopy data analysis and single-cell genomics
Experience with large-scale data management in cloud environments
Strong foundation in AI-driven approaches to biological data interpretation and modeling
Experience recruiting, managing, and leading a computational biology or machine learning team
Exposure to immunology or immuno-oncology
Skills
Python
generative models
About the company
About Us: Voyant Bio has developed a spatial biology platform to unleash immunity against multiple cancers by rewiring immune cell interactions. Our first-in-class therapeutics have the potential to radically improve treatment efficacy for the 80% of patients who fail to respond to cancer immunotherapies. We are a backed by Merck Digital Sciences Studio.
Who We Are: Our team is led by Assaf Magen, PhD, CEO, an expert in immuno-oncology and computational biology, inventor of the technology, and lead author of a seminal publication. He trained at the National Cancer Institute (NCI, NIH) and was an assistant professor at Mount Sinai. Together with a world-class biopharma advisory team, we are uniquely positioned to make breakthroughs in immuno-oncology.
About the role
The Role: We are looking for a founding Machine Learning/Computational Biology scientist to lead our technical efforts, focusing on multi-modal single-cell geomics, spatial data analysis, and method development. You’ll be instrumental in shaping the bioinformatics roadmap and building scalable platforms and generative models for diverse biological datasets.
Requirements
This role requires hands-on experience in Python for microscopy data analysis and single-cell genomics, as well as expertise in large-scale data management in cloud environments. A strong foundation in AI-driven approaches to biological data interpretation and modeling is essential. Ideally, you have recruited, managed, and led a computational biology or machine learning team. Exposure to immunology or immuno-oncology is a plus.
This is a founding scientist position with incredible room for growth in responsibilities and benefits as we grow.