Senior Director, Artificial Intelligence at Cellanome
Foster City, CA
$288,000–$330,000from the description
Jul 22, 2026
Foster City, CA
Jul 24, 2026
What this job asks for AI summary
A senior leadership role within a Computational Biology team, focused on building and advancing deep learning capabilities — particularly image segmentation, classification, and feature extraction — as well as integrating paired imaging and transcriptomic data. The position combines hands-on model development with team building, multi-year strategy, and cross-functional collaboration across R&D, software, and product. Suits a highly experienced ML/AI leader with a strong background in image analysis.
Principal level · 15+ years · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
Work location is not specified in the posting; no CBSA or state could be determined. The company (Cellanome) is based in the San Francisco Bay Area, but this is not stated in the JD itself.
The title 'Senior Director' and the scope of the role — org-wide AI/ML strategy, hiring, multi-year roadmap, and hands-on implementation — support a Principal-level classification despite the management duties. The alt SOC 11-3021 (Computer and Information Systems Managers) is a genuine runner-up given the explicit hiring, mentoring, and leadership responsibilities.
Degree requirement is set to None because the JD explicitly accepts equivalent experience in lieu of any formal degree ('or equivalent experience').
The minimum experience threshold is 15 years (the PhD pathway); the Master's (18 yrs) and Bachelor's (20 yrs) pathways are higher floors for lower credentials. 15 years is used as the overall years minimum per the most-credentialed path.
PyTorch and TensorFlow are listed together as interchangeable examples of Deep Learning frameworks ('such as PyTorch, TensorFlow etc.'); emitted as one skill with TensorFlow as an alternative.
Biological imaging (e.g. live cell microscopy, histopathology) and foundation models for single-cell transcriptomics appear only under Preferred Qualifications.
'Image classification' and 'unsupervised/semi-supervised feature extraction' are captured under the broader 'feature extraction' and 'image segmentation'/'object detection' skills rather than as separate entries, as they describe the same Deep Learning image-analysis capability block.
Read the full posting
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