Member of Technical Staff - Applied Computational Biologist

Valthos; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Valthos Inc. is seeking an Applied Computational Biologist to translate operational needs into biology-focused product strategy.

You will own the computational biology contribution to major customer engagements, develop materials to communicate research capabilities, and convert requirements into actionable objectives for AI and software teams. You will serve as a bridge between our research team and customers, understanding models, proposing use cases, and translating insights into research,

Qualifications

• Research experience in computational biology, bioinformatics, genomics, or a related field.
• Exceptional scientific and technical communication skills, including ability to explain complex concepts to diverse audiences through analyses and proposals.
• Ability to analyze biological data and interpret computational results.
• Proficiency in Python or a similar scientific computing language.
• Ability to work full-time and on-site in New York City or San Francisco.

Responsibilities

• Develop a deep understanding of Valthos's models, methods, and roadmap.
• Build trusted technical relationships with customers and understand their scientific and operational priorities.
• Develop written materials translating customer priorities into clear biological questions, use cases, evaluations, and technical requirements.
• Start with hands-on analytical execution and technical communications, with potential growth into ownership of customer scientific strategy.
• Define and drive how Valthos’s research is positioned and applied externally, turning it into written proposals and customer programs.
• Collaborate with customers to scope and lead scientific work, including defining the biological question, choosing the model/datasets, and analyzing results.

Skills

Python

Education

Computational biology / bioinformatics background

Job description

Valthos Inc.

Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.

Applied Computational Biologist

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 an applied computational biologist who excels at translating operational needs into product strategy, and communicating how advances in AI can address real-world problems. You will own the computational biology contribution to major customer engagements; develop materials to communicate our research and product capabilities to technical and non-technical audiences; and convert operational needs into well-defined objectives for our biological AI and software teams. You will serve as a bridge between our research team and our customers: developing a deep understanding of our models, working directly with external scientific and technical teams to identify priority use cases, and translating what you learn into research, product, and go-to-market insights.

The Role

• Develop a deep understanding of Valthos's models, methods, and roadmap
• Build trusted technical relationships with customers and understand their scientific and operational priorities
• Develop written materials that translate customer priorities into clear biological questions, use cases, evaluations, and technical requirements
• This role begins with hands-on analytical execution and technical communications, and can grow into ownership of customer scientific strategy and applied product development
• Communicate technical work: Define and drive how Valthos’s research is positioned and applied externally, identifying the strongest technical approach for each opportunity and turning it into written proposals and customer programs.
• Work with customers to scope and lead scientific work, including:
  • Defining the biological question and analytic approach, including choosing the model and datasets
  • Analyzing biological datasets and interpreting results for stakeholders
  • Working with researchers and engineers to translate successful analyses into repeatable workflows for real-world operational problems
• Translate lessons from customer engagements into product requirements, research priorities, and go-to-market strategy

What We Require

• Research experience in computational biology, bioinformatics, genomics, or a related field
• Exceptional scientific and technical communication skills, including the ability to explain complex technical concepts clearly to different audiences through end-to-end technical analysis, case studies, and proposals
• Ability to analyze biological data and interpret computational results
• Proficiency in Python or a similar scientific computing language
• Ability to work full-time and on-site in New York City or San Francisco

What We Value

• Ability to dive deeply into complex technical questions
• Strong scientific judgment and willingness to question assumptions
• Ability to translate ambiguous customer problems into concrete scientific analyses
• Motivation to drive real-world value from advances in research and development
• Curiosity, low ego, and a willingness to learn quickly
• Experience at the intersection of biology, machine learning, and genomics

If there is a fit, we’ll schedule interviews focused on your technical background, scientific communication, and ability to translate computational biology into compelling customer applications. 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.