Member of Technical Staff - Computational Biologist

About the role

The Computational Biologist will contribute to shaping and executing the Valthos-wide research and development roadmap. They will identify large-scale biological datasets appropriate for training frontier biological models, 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, and embrace continuous learning in both technical and non-technical areas across Valthos. They will stay up-to-date on state-of-the-art methods at the intersection of AI and biology.

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)

Qualifications

• 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

Skills

• Python programming
• Bioinformatics sequence analysis
• Cloud computing
• Machine learning model training and evaluation
• Open-source contributions

Benefits

• Flexible work schedule
• Competitive compensation package
• Professional development opportunities
• Health and wellness programs

Pay

• $100,000 - $150,000 annually

Schedule

• Full-time