Member of Technical Staff - Applied Computational Biologist

About the role

The Applied Computational Biologist at Valthos Inc. will play a pivotal role in translating operational needs into product strategy and communicating how advances in artificial intelligence can address real-world biological challenges. This position involves owning the computational biology component of 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

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

Benefits

• Flexible work arrangements
• Competitive compensation package
• Health insurance benefits
• Professional development opportunities

Pay

• $100,000 - $120,000 annually

Schedule

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