Scientist III – Proteome Editor Design

Scientist III – Proteome Editor Design / AI BioDesign The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.

Join AI BioDesign, an initiative to make biology engineerable by combining AI and high-throughput experimentation. Join us as we build a series of interconnected design-test-loop “flywheels” that enable design of synthetic enhancers, protein binders, and more.

We’re seeking a scientist to lead our proteome editor flywheel. The proteome editor flywheel team is part of a larger effort that includes a total of three experimental flywheel teams and one machine learning team. The goal of the proteome editor flywheel is to produce a model that can design de novo proteome editors that work out of the box. For more information on the concept of a proteome editor, see https://pmc.ncbi.nlm.nih.gov/articles/PMC12632987/ — a recent publication on “degraders,” which are the proteome editors that will be our focus.

To lead this flywheel team, you will need a strong background in cell-based library screening, functional genomics, or synthetic cellular biology. You will lead your team and interact with other team leads, including machine learning colleagues, to optimize active learning processes in your flywheel. You will optimize your flywheel’s turn-around-time and per-cycle model improvement, racing to deliver the best possible ML models for proteome editor design. You will need a high degree of emotional intelligence, a collaborative mindset, and an ability to work cross-functionally with other research teams to drive project success.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

Essential Functions

• Lead the Proteome Editor team to build and run a rapid, repeatable design–test–learn pipeline focused on proteome editor screening
• Design and oversee library screening and degrader evaluation experiments to generate high-quality, model-ready datasets
• Partner with machine learning colleagues to define next targets, curate data, and implement active-learning strategies that choose the next best experiments
• Optimize flywheel performance by improving turnaround time, throughput, cost, and per-cycle model lift; identify and remove experimental bottlenecks
• Coordinate closely with other flywheel leads and AI Biodesign stakeholders to align priorities, timelines, and dependencies across the broader program
• Mentor and manage a high-performing team, fostering a collaborative culture and clear communication grounded in strong emotional intelligence
• Present scientific results and complex concepts internally in talks and progress reports
• Present results to the external community at conferences and in publications

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Experience And Education

• PhD degree in biochemistry, molecular biology, or a related field; or equivalent combination of degree and experience
• Minimum 5 years of relevant post-doctoral experience
• Experience with functional genomics, massively parallel reporter assays, multiplexed assays of variant effect, saturation mutagenesis, or plasmid library-based screening
• Experience architecting cellular library screening workflows (e.g., MPRAs or other high-throughput cell-based discovery platforms)
• Proven ability to lead scientific projects and collaborate cross-functionally, including …