Senior Research Associate​/Associate Scientist, Cell Differentiation

Cellular Intelligence (CI) is an AI‑native Tech Bio company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior, transforming biology from trial‑and‑error into an engineering discipline. We take a full‑stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time‑resolved treatment combinations per experiment, and training large‑scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context‑specific drug effect prediction, and systematic disease modeling.

Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT, and four professors from Harvard Medical School and the University of Washington, including the Chair of Genetics at Harvard, collectively holding five National Academy memberships. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, Sci Fi VC, and AMD Ventures, and is rapidly scaling its world‑class team.

Senior Scientist, Translational Science

We seek a motivated and experienced cell biologist to join our team and support hiPSC‑based differentiation efforts for novel cell therapy programs, our proprietary platform, and computational modeling efforts. In this role, you will execute and optimize cell differentiation protocols to generate functionally relevant target cell types. You will play a critical facilitator role in protocol and platform development by conducting high‑throughput experiments and collaborating cross‑functionally with teams in platform development, process development, analytics, translational research, and molecular biology.

This is a hands‑on, lab‑based position that requires strong technical expertise, rigorous and reproducible data practices, and the ability to work independently while staying tightly aligned with team priorities. Success in this role requires not just executing experiments but rigorously analyzing data, critically assessing data quality, synthesizing findings clearly, communicating proactively, and adapting quickly when priorities shift. This role is best suited for a bench scientist with meaningful independent industry experience at the SRA or Associate Scientist level;

it is not an entry‑level position, and a PhD is not required or expected.

• Independently execute and optimize stepwise hiPSC differentiation protocols to generate multiple target cell types with high reliability and reproducibility
• Maintain transparent, reproducible records in Benchling or equivalent ELN or file system including experimental study design details, execution processes, experimental outcomes, analytical workflows, parameters, thresholds, and file naming conventions when necessary that allow any team member to independently trace and evaluate results; contribute to the development of SOPs and technical documentation for established protocols as needed
• Prioritize and complete time‑sensitive experiments critical to lead program progression, including occasional weekend work as needed (usually no more than 4 hours a month) to support long‑term cultures. Candidates should feel comfortable with proactive communication with the team lead to confirm task priorities and flag when new work may impact existing planning
• Troubleshoot assay or protocol challenges with initiative and structure: propose and attempt reasonable solutions before requesting direction, document troubleshooting steps and outcomes, and escalate proactively when timelines or shared workflows are affected
• Analyze experimental data using reproducible, well‑documented workflows; summarize key findings with sufficient context for cross‑functional stakeholders to understand outcomes and implications; tailor the level of detail to the audience (full ELN…