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Biohub

Senior Imaging Applications Scientist

Biohub, San Francisco, California, United States, 94199

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Senior Imaging Applications Scientist Biohub is a 501(c)(3) nonprofit research organization supported by the Chan Zuckerberg Initiative, dedicated to advancing biological science through AI‑powered biology. Biohub brings together scientists, engineers, and physicians to pursue grand scientific challenges on 10‑ to 15‑year horizons, focusing on disease mechanisms and innovative diagnostics and therapies.

Our Vision

We pursue large scientific challenges that cannot be addressed in conventional environments.

We enable investigators to pursue their riskiest and most innovative ideas.

The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond.

What You'll Do Technical Leadership

Serve as an expert for advanced light microscopy systems including light‑sheet, super‑resolution (STED, SIM, SMLM), multiphoton, and custom research instruments.

Lead the implementation, optimization and maintenance of complex optical systems through alignment, calibration and troubleshooting.

Collaborate with optical engineers to commission new imaging modalities, validate performance, and transition prototypes to robust research tools.

Scientific Consultation

Provide high‑level consultation across biological disciplines, guiding modality selection, fluorescent probe strategies, sample preparation and acquisition parameters.

Troubleshoot complex imaging challenges and implement creative solutions.

Develop customized protocols for novel biological applications.

Method Development

Lead the implementation and optimization of FLIM, FRET, FCS, fluorescence anisotropy and time‑resolved techniques.

Help develop novel imaging approaches combining multiple modalities.

Support applications of emerging technologies to challenging biological systems.

Workflow Development

Coordinate scheduling and equitable access to shared microscopy resources and efficient budget management.

Design acquisition workflows including automated multi‑dimensional imaging and adaptive strategies.

Collaborate with software developers on user interfaces, data management and analysis pipelines, implementing open‑source and commercial tools.

Provide training in quantitative image analysis from basic processing to machine‑learning approaches.

Community Building

Organize hands‑on workshops, seminars and microscopy training courses.

Create comprehensive documentation, tutorials and best‑practice guides.

Represent Biohub at select conferences and contribute to community engagement promoting adoption of advanced imaging methods.

Qualifications Essential

Ph.D. or equivalent in Physics, Chemistry, Biophysics, Bioengineering, Cell Biology or related field.

8+ years of progressive hands‑on experience with advanced light microscopy supporting diverse users.

Deep expertise in optical microscopy fundamentals: design, fluorescence photophysics, laser systems, optical alignment, system characterization.

Demonstrated mastery of multiple advanced imaging modalities, especially light‑sheet microscopy (SPIM, lattice light‑sheet) and quantitative fluorescence techniques (FLIM, time‑resolved methods).

Strong knowledge of fluorescent probe chemistry and photophysics.

Proficiency with image analysis software and programming (ImageJ/Fiji, Python, MATLAB, R) and metadata standards (OME‑TIFF, OME‑ZARR) and imaging data management.

Outstanding communication skills across audiences from undergraduates to senior investigators.

Demonstrated success in highly interdisciplinary environments bridging physics, engineering, computer science and biology.

Strong teaching and mentoring abilities.

Track record of scientific publication contributions.

Nice to Have

Experience managing core facilities or shared research instrumentation.

Hands‑on experience with super‑resolution (STED, STORM, PALM, SIM), multiphoton imaging or adaptive optics.

Experience with modern scientific cameras (sCMOS, EMCCD), detectors (PMTs, SPADs, hybrid detectors) and data acquisition electronics.

Expertise in high‑content screening, automated imaging or image‑based phenotyping.

Machine learning or deep learning experience for image analysis.

Proficiency with microscope control software and hardware APIs (Micro‑Manager, Python‑microscope, instrument SDKs).

Track record developing and teaching microscopy courses.

Familiarity with correlative microscopy (CLEM, multi‑modal imaging).

Contributions to open‑source microscopy projects.

Compensation The San Francisco, CA base pay range for this role is $193,000 – $265,000. New hires enter the lower portion of the range with growth over time, based on skills and experience evaluated throughout the interview process.

Hybrid Work This is a hybrid position; you will be onsite for at least 60% of the month (about three days a week) on dates determined by the manager.

Benefits for the whole you

Generous employer match on 401(k) contributions.

Paid time off to volunteer at an organization of your choice.

Funding for select family‑forming benefits.

Relocation support for employees who need assistance moving.

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