Job Description

The Vivian Cheung Lab at Brown University is seeking a Postdoctoral Research Associate to join our multidisciplinary team at the interface of RNA biology, neuroscience, and quantitative modeling.

As a key participant in the Human RNome Project, our lab is dedicated to the rigorous quantification and mechanistic discovery of how RNA modifications and dynamics govern human health. This project focuses on developing human iPSC-derived tri-culture organoid systems (neurons, astrocytes, and microglia) to investigate how transcriptional and co-transcriptional processes influence cellular interactions and neurodegenerative disease states.

Our Lab Philosophy

• Rigorous & Mechanistic We move beyond descriptive observations to uncover the fundamental molecular "how" and "why."
• Human-Centric We prioritize human biology and disease models to ensure our discoveries have a direct path toward clinical impact.
• Supportive Mentorship Dr. Cheung provides a high-energy environment with a strong emphasis on professional development, independence, and collaborative success.
• Multidisciplinary Reach Our work thrives on synergy, involving active collaborations across Brown University and global partners in Genetics, RNA Biology and Applied Mathematics.

Key Responsibilities

• Experimental Development Establish and characterize complex 3D neural organoid models (incorporating neurons, astrocytes, and microglia).
• Mechanistic Inquiry Use nascent RNA sequencing and molecular biology to study co-transcriptional dynamics and RNA-level regulation.
• Quantitative Analysis Apply statistical and mathematical frameworks to interpret large-scale transcriptomic and kinetic datasets.
• Collaborative Discovery Work across traditional disciplinary boundaries to integrate biological findings with quantitative models.

Qualifications

Required

• Education: Ph.D. in Molecular Biology, Human Genetics, Neuroscience, Bioengineering, or a related life sciences field.
• Solid Foundation in Human Biology: Deep understanding of molecular mechanisms, preferably within a neuroscience or RNA context.
• Strong Familiarity with Quantitative Modeling: Proven ability to use computational, mathematical, or statistical models to solve biological problems.
• Programming Literacy: Proficiency in Python or R for data analysis and visualization.
• Experimental Skillset: Extensive experience with mammalian cell culture (human iPSC experience is highly preferred) and standard molecular biology techniques.

Desired

• Experience with 3D culture, organoids, or glia-neuron interaction models.
• Familiarity with RNA-seq, PRO-seq, or other high-resolution transcriptomic technologies.

Applicants must have completed all requirements for a doctoral degree before start of the position. Salary will be based on Brown’s minimum pay scale and is commensurate with experience.

Application Instructions

Applicants should submit a cover letter describing their research background and how their skills and career interests fit this role, a CV, and names of three references via Interfolio. Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.

Application review will begin immediately, and will continue until the position is filled or the search is closed.

For this position, Brown does not sponsor the H-1B visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.

Equal Employment Opportunity Statement

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.