Valthos
Member of Technical Staff - Computational Biologist
10mo ago
USALeadmachine learningdata analysis
A Computational Biologist role focused on bridging machine learning and biology to build data and evaluation frameworks for biological threat assessment and biologics design.
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
Requirements
- 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)
Nice to have
- 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
- If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.
Other
- Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
- The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape.
- We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
- We are seeking a highly skilled Computational Biologist to bridge machine learning and biology by building robust data and evaluation frameworks for assessing and responding to biological threats, and for rapidly designing precision biologics.