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, build workflows and infrastructure for processing these datasets, design evaluation frameworks, collaborate with AI engineers and software engineers, and visualize and communicate results.

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
• 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 (required)

• 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

Qualifications (preferred)

Preferred qualifications include:

• 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

Benefits

At Valthos, we offer a competitive salary, comprehensive benefits, and a dynamic work environment. We also provide opportunities for professional growth and development, and a supportive team culture.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible hours.