Valthos · 4 months ago
Member of Technical Staff - Computational Biologist
Valthos Inc. is an applied biological intelligence company focused on deploying software and biological AI systems for humanity's safety. They are seeking a highly skilled Computational Biologist to bridge machine learning and biology, building data frameworks to assess biological threats and design precision biologics.
Artificial Intelligence (AI)
Responsibilities
Contribute to shaping and executing the Valthos-wide research and development roadmap
Identify large-scale biological datasets appropriate for training frontier biological models, and build workflows and infrastructure for processing these datasets
Design, build, and apply evaluation frameworks for rigorously assessing model performance on real-world problems in biological security
Design wet-lab experiments to evaluate the efficacy and real-world utility of designed biologics
Collaborate closely with AI engineers to design and train models tailored to tasks in biological security and precision biologics
Collaborate closely with software engineers to build and deploy tools for data analysis, including proper documentation and testing
Visualize and communicate results clearly within Valthos and externally
Work with customers and external collaborators to understand their needs and effectively represent Valthos
Embrace continuous learning in both technical and non-technical areas across Valthos
Stay up-to-date on state-of-the-art methods at the intersection of AI and biology
Qualification
Required
Experience analyzing biological datasets, ideally sequence-based modalities (e.g., genomic, protein, metagenomic)
Experience planning and running in silico computational biology experiments
High proficiency in Python and its scientific package ecosystem
Experience with bioinformatics sequence analysis tools (e.g., aligners)
Experience with cloud computing platforms (e.g., AWS)
Preferred
Proven ability to design, implement, and evaluate novel methods in computational biology
Experience working with experimental biologists to plan and interpret the results of wet-lab experiments
Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
Knowledge of biological databases (e.g., NCBI)
Experience with machine learning model training and evaluation
Contributions to open-source projects
Company
Valthos
Valthos builds next-generation biodefense.
Funding
Current Stage
Early StageTotal Funding
$30M2025-10-24Seed· $30M
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