Member of Technical Staff - Applied Computational Biologist

Applied 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 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

In your first year, you will provide technical leadership on customer engagements end-to-end: spanning understanding user operational priorities, proposal writing, and scientific engagement throughout a customer deployment. Through identifying applications and defining use cases you will shape how our research and product development can have the biggest impact in customers workflows today and in the future.

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.