Postdoctoral Researcher - Ellerby lab
About The Position
The Postdoctoral Researcher will investigate mechanisms of brain aging and neurodegenerative disease, with a focus on identifying pathways and small molecules that promote cellular rejuvenation and resilience. This role emphasizes high-throughput screening and cell painting approaches. The successful candidate will demonstrate the potential to lead peer-reviewed publications, contribute innovative experimental strategies, and compete for external fellowships and career development awards. The Ellerby lab studies the fundamental mechanisms underlying age-related neurodegenerative diseases and develops therapeutic strategies targeting brain aging. The lab integrates cutting-edge approaches—including induced pluripotent stem cells (iPSCs), genomics, proteomics, high-throughput small-molecule screening, single-cell analysis, and CRISPR/Cas9—to better understand disease biology and identify novel interventions.
Requirements
- PhD in Neuroscience, Biology, Chemistry, or a related field
- Strong cell culture expertise
- Demonstrated track record of first-author or lead-author publications
- Proficiency in data analysis using Python, R, or similar tools
- Ability to work both independently and collaboratively in an interdisciplinary environment
Nice To Haves
- Experience with iPSC systems (preferred)
- Background in stem cell biology, neurodegenerative disease, and/or CRISPR/Cas9 technologies
- Experience with high-throughput or high-content screening approaches (preferred)
Responsibilities
- Design and implement high-throughput screening strategies to identify small molecules that promote cellular resilience or reverse aging phenotypes, with a focus on OXR1 and APOE2 biology.
- Conduct high-content imaging experiments and quantitative image analysis.
- Develop and optimize high-throughput screening (HTS) workflows.
- Apply organoid and advanced in vitro model systems to study neurodegeneration.
- Operate and integrate complex robotic and multi-instrument platforms.
- Collaborate with interdisciplinary teams at the Buck Institute to develop standardized protocols and experimental designs.
- Analyze large-scale imaging and multi-omics datasets using Python and/or R.
- Perform data integration, annotation, and visualization using appropriate computational tools.
- Present findings at lab meetings, institutional seminars, and scientific conferences.
Benefits
- Comprehensive benefits package including health insurance, paid parental leave, childcare assistance, generous paid time off, and a 401(k) with 5% employer match
- Access to state-of-the-art research facilities and technologies
- Collaborative and mission-driven scientific environment
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
