Summary: Scripps Research is inviting applications for a Postdoctoral Research Position in the Encalada Laboratory at its campus in La Jolla. The position focuses on image analysis and artificial intelligence/machine learning applied to neurobiology research.
The selected candidate will work with advanced microscopy datasets and develop machine learning tools to analyze high-throughput biological imaging. Research projects in the lab investigate neurodegenerative disease mechanisms using model systems such as primary neurons, mice, human organoids, and C. elegans. The institute offers a collaborative, interdisciplinary environment with world-class facilities for biomedical research.
Postdoctoral Research Position – Image Analysis & AI in Neurobiology
Summary Table
| Category | Details |
|---|---|
| Position Title | Postdoctoral Researcher |
| Institution | Scripps Research |
| Laboratory | Encalada Laboratory |
| Research Area | AI/Machine Learning, Image Analysis, Neurobiology |
| Location | La Jolla |
| Job Type | Full-Time Postdoctoral Position |
| Application Mode | Email Application |
| Posting Date | March 2026 |
Designation
Postdoctoral Researcher / Postdoctoral Fellow
Research Area
- Artificial Intelligence and Machine Learning
- High-throughput Image Analysis
- Neurobiology and Neurodegeneration
- Cell Biology and Genetics
- Quantitative and Super-resolution Microscopy
- Computational Biology
Location
The position is based at Scripps Research, located in La Jolla, one of the world’s leading private non-profit biomedical research institutions known for pioneering work in basic and translational science.
Eligibility / Qualification
Applicants should meet the following criteria:
- A PhD (completed or near completion) in cell biology, genetics, neurobiology, molecular biology, biophysics, or a closely related field.
- Strong motivation for independent research and excellent written and oral communication skills.
- A record of peer-reviewed publications (published or under review).
- Experience with AI or machine learning applied to image analysis (light or electron microscopy) is highly desirable.
- Additional experience in cell biology, mouse models, or advanced microscopy techniques (light or super-resolution microscopy) is considered advantageous but not required.
Job Description
The successful candidate will:
- Develop and apply machine learning algorithms for high-throughput analysis of fluorescence and microscopy images.
- Work with diverse model systems, including mammalian neurons, mice, human organoids, and C. elegans.
- Conduct interdisciplinary research integrating cell biology, genetics, biochemistry, and computational approaches.
- Utilize advanced imaging technologies including quantitative light microscopy, super-resolution microscopy, and correlated light-electron microscopy (CLEM).
- Contribute to projects investigating mechanisms of neurodegeneration and potential therapeutic strategies.
- Participate in collaborative research within a highly supportive and diverse laboratory environment.
Diversity Statement
The Encalada Laboratory is committed to fostering an inclusive and respectful research environment that values diversity, equity, and collaboration. Applicants from all backgrounds are encouraged to apply regardless of gender, ethnicity, religion, age, disability status, cultural background, or socioeconomic status.
How to Apply
Interested candidates should submit the following documents via email:
- Curriculum Vitae (CV) including a list of publications
- Brief statement describing previous research experience and postdoctoral research interests
- Contact details of three referees
Applications should be sent to:
Sandra Encalada
Email: encalada@scripps.edu
Applicants may also visit the Encalada Lab website for additional information.
Last Date to Apply
Applications will be reviewed until the position is filled.







