Working Hours: 1st Shift IST (Some evening meetings may be required for U.S. collaboration, generally within the 710 PM India-time window, potentially around once per week as needed)
Role Overview
- Team: Vylor R&D;, Bio Technology – team does Molecular AI and looks inside the plant cell to help farmers get better yields through predictive analytics/data science
- Specialized computational biology / bioinformatics role supporting analysis and processing of scientific data generated by Vylor’s experimental teams.
- This is a science-first role, not a traditional software engineering position. The key is understanding the biological problem and applying computational techniques to analyze the data.
Must-Haves
- PhD in a relevant biological/scientific discipline with computationally focused research.
- Hands-on spatial transcriptomics experience. This is the #1 technical priority.
- Direct experience performing computational analysis and data processing of biological samples.
- Experience must come from actual PhD/research work. Vylor is not looking to train someone from scratch on these scientific techniques.
- Understanding of how the underlying laboratory data is generated, not simply how to work with an existing dataset.
- Ability to understand the science, ask the right questions, and translate scientific problems into computational analysis.
- Solid English communication skills and ability to collaborate with experimental/lab and computational teams.