C. elegans Neural Imaging Scientist

Episteme; San Francisco (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Relocation assistance

16 weeks parental leave

Company-paid disability and life保险

Job summary

Episteme in San Francisco seeks a Member of Research Staff to advance recording neural activity in C. elegans at unprecedented scale. You will generate datasets enabling circuit-level modeling, neural inference, and machine learning approaches.

You will collaborate with optics, microfluidics, and ML teams to ensure high-quality data and rigorous experimental design, tackling ambitious neuroscience problems with scientific rigor.

Qualifications

• Ph.D. in Neuroscience, Biophysics, Bi Eng, or related field.
• Experience with optical activity imaging in neural circuits.
• Strong publication record and data-driven approach.

Responsibilities

• Design and perform neural activity imaging experiments in C. elegans.
• Develop protocols for stable, long-duration recordings.
• Integrate imaging workflows with microfluidics and optogenetics.
• Collaborate with optics specialists to maintain imaging systems.
• Generate and curate large-scale neural activity datasets.
• Work with ML researchers to support modeling efforts.
• Analyze data to identify meaningful patterns and hypotheses.
• Publish results and present at conferences.
• Contribute to a collaborative, interdisciplinary research environment.
• Follow a structured plan with objectives and milestones.

Skills

Neural imaging

C. elegans experiments

Data analysis

Calcium/voltage imaging

Interdisciplinary collaboration

Education

Ph.D. in Neuroscience, Biophysics, Bioengineering, or related field

Tools

Fluorescence microscopy

Optical imaging systems

Job description

Episteme in San Francisco seeks a Member of Research Staff to advance recording neural activity in C. elegans at unprecedented scale. You will generate datasets enabling circuit-level modeling, neural inference, and machine learning approaches.

You will collaborate with optics, microfluidics, and ML teams to ensure high-quality data and rigorous experimental design, tackling ambitious neuroscience problems with scientific rigor.