E11 Bio is seeking a motivated and enthusiastic image data scientist to develop new methods and tools for processing large-scale next-gen brain microscopy imaging data. You will run the image processing and quality control pipelines while working closely with the computation and wet lab science teams.
Responsibilities
- Develop new methods and tools for processing large-scale next-gen brain microscopy imaging data
- Deploy and optimize developed pipelines in large-scale cluster or cloud environments, ensuring efficient processing and scalability for imaging volumes exceeding petabyte-scale
- Develop robust quality control (QC) analysis tools for anomaly detection, assessing image integrity, and ensuring the accuracy and consistency of generated continuous imaging volumes
- Working closely with wet lab and microscopy scientists to optimize data analysis and acquisition processes
- Engaging in a culture of excellent documentation, preparation of reports, and presenting results internally and externally
Required qualifications
- PhD in computer vision, quantitative biology (e.g. biophysics, bioengineering) or a related field in science and/or engineering, or equivalent working experience and track record
- Relevant work or research experience, with strong history of independent and autonomous execution on hard image processing problems
- Strong background in applying computer vision tools to the analysis of large (light) microscopy data
- Experience with software engineering best practices (e.g. version control, code reviews, etc.)
- Excellent communication and collaboration skills, record keeping ability, and attention to detail
Preferred Qualifications (not required)
- Experience with computational techniques for stitching and registering microscopy images into volumetric datasets, including handling volume distortions, signal inconsistencies, and other large-scale alignment challenges
- Experience with processing big data in the cloud (e.g. AWS or GCP)
- Familiarity with Zarr data structures and the use of distributed processing tools such as Dask.
- Experience with large scale connectomics data and tools (e.g. Neuroglancer, CATMAID, Knossos, CAVE, or equivalent)
- Familiarity with Nextflow, or other workflow orchestration languages and tools
Who will love this job
- You are passionate about moonshot neuroscience, and want to broadly accelerate science through long-term commitment to a high-impact project with a tight-knit team.
- You have a strong desire and intrinsic motivation to work collaboratively and inclusively as part of an interdisciplinary team science effort.
- You are committed to the ethos of open science, and want to see your work transparently disseminated.
- You’re mission-driven, and are seeking an environment where you can take long-term risks on moonshot science, shielded from academic or for-profit incentives.
- You’re seeking a high-leverage, non-traditional opportunity to maximize the impact of your science, establishing relationships with key stakeholders in the neuroscience community.
We offer
- An opportunity to help change the world and work with some of the most talented and collaborative experts across scientific fields.
- Excellent medical, dental, and vision insurance through a PPO plan; parental leave.
- Generous time off + paid holidays.
- Wellness allowance for fitness and wellness activities.