Member of Technical Staff - Applied Computational Biologist

About the role

The Applied Computational Biologist at Valthos Inc. will play a crucial role in translating operational needs into product strategy and communicating how advances in AI can address real-world problems. This position involves owning the computational biology contribution to major customer engagements, developing materials to communicate research and product capabilities, and converting operational needs into well-defined objectives for the biological AI and software teams.

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 that translate customer priorities into clear biological questions, use cases, evaluations, and technical requirements
• 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, provide technical leadership on customer engagements end-to-end: spanning understanding user operational priorities, proposal writing, and scientific engagement throughout a customer deployment
• Identify applications and define use cases to shape how our research and product development can have the biggest impact in customers workflows today and in the future

Requirements

• 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
• Proficiency in Python or a similar scientific computing language

Qualifications

• 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

Skills

• Python or similar scientific computing language

Benefits

• Flexible work arrangements
• Competitive salary and benefits package
• Opportunities for professional growth and development

Pay

• $150,000 - $200,000 annually

Schedule

• Full-time, on-site in New York City or San Francisco