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You will serve as a bridge between the research team and customers, translating operational needs into product strategy and well-defined technical objectives. You will lead scientific engagements, analyze biological datasets, and communicate complex technical concepts to both technical and non-technical stakeholders.
The role requires extensive research experience in computational biology, bioinformatics, genomics, or a related field. Candidates must possess exceptional technical communication skills and proficiency in Python or a similar scientific computing language.
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.
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.
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
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.
Next-generation biodefense
Frontier AI systems to identify biological threats and design medical countermeasures in real time.
Offices: New York, New York, US
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