Member of Technical Staff - Computational Biologist

Valthos; San Francisco, New York (CA, NY); On-site; USD 90,000 - 130,000; Full time

Job summary

An innovative biological intelligence company in San Francisco is seeking a skilled Computational Biologist to bridge machine learning and biology. The role includes designing frameworks for evaluating biological threats and creating precise biologics. Candidates should have experience with biological datasets and high proficiency in Python. This position is essential for advancing tools at the intersection of AI and biology and offers a full-time contract with a negotiable salary in a collaborative work environment.

Qualifications

• Experience analyzing biological datasets, ideally sequence-based modalities.
• High proficiency in Python with its scientific packages.
• Experience planning and running in silico computational biology experiments.

Responsibilities

• Shape and execute the research and development roadmap.
• Identify large-scale biological datasets for training models.
• Design evaluation frameworks for assessing model performance.

Skills

Analyzing biological datasets

Planning and running in silico experiments

High proficiency in Python

Experience with bioinformatics tools

Cloud computing platforms

Job description

Member of Technical Staff - Computational Biologist

Valthos | Posted Mar 3

Full-time

Negotiable

Advanced (5-10 yrs)

Computational Biologist

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.

The Role

• 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 biologicsCollaborate 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

Qualifications (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)

Qualifications (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

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.

About the company

Valthos