The RoleYou own the feedback loop between Output's models and the lab. You go deep into specific biological problems, translate what the biology requires into priorities for data and modeling, and manage through CRO partners the experimental cycle that validates model outputs and generates new data.
- You will own the active learning cycle between Output's models and experimental validation: designing experiments, managing CRO partners for synthesis and testing, interpreting results, and feeding them back to improve the models
- You will dive into specific biological problem areas, developing the expertise needed to translate nuanced biological requirements into priorities for data construction, modeling, and evaluation
- You will manage CRO relationships for peptide and molecular synthesis, biological assays, and experimental testing, designing each campaign to generate maximally informative data
- You will collaborate with the engineering team to design and build biology-specific agent skills and workflows, encoding your biological expertise into tools that automate experimental decision-making
- You will work closely with the model and data teams, identifying biological phenomena the models should be sensitive to and ensuring that experimental findings shape what and how the models learn
- You will stay current with biological literature and experimental methods, continuously identifying new biological problems and translating them into opportunities for model development
About You- You have a PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field with 3+ years of post-doctoral or industry research experience
- You have deep understanding of protein biology, protein-ligand interactions, and how sequence and structure relate to biological function
- You have experience designing biological experiments and working with CROs for synthesis and experimental validation
- You have experience working with protein language models or machine learning applied to biological sequences and structures
- You have strong programming skills in Python, with experience building computational pipelines and analysis tools
- You can move between the language of biology and the language of machine learning: you understand what models need from data and what experimental results mean for model development
- You are comfortable going deep into unfamiliar biological problem areas and rapidly developing the expertise needed to guide modeling and experimental decisions
Bonus Points- You have structural biology expertise, including protein structure analysis and structure-function relationships
- You have experience with active learning or iterative experimental design in a computational biology or drug discovery setting
- You have hands-on wet lab experience
- You have experience across multiple therapeutic modalities, including peptides
- You have experience building tools or writing code that automates biological analysis workflows
What We Offer- We encourage new and different ideas, creativity and contrarian thinking
- Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
- You own your day-to-day management. What we care about is that we all hit our milestones
- Competitive salary and equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
