Research Scientist (AI) - Cell & Tissue Modeling
Company: Genbio
Location: Palo Alto
Posted on: March 1, 2025
Job Description:
Headquartered in Silicon Valley, we are a newly established
start-up, where a collective of visionary scientists, engineers,
and entrepreneurs are dedicated to transforming the landscape of
biology and medicine through the power of Generative AI. Our team
comprises leading minds and innovators in AI and Biological
Science, pushing the boundaries of what is possible. We are
dreamers who reimagine a new paradigm for biology and medicine.We
are committed to decoding biology holistically and enabling the
next generation of life-transforming solutions. As the first mover
in pan-modal Large Biological Models (LBM), we are pioneering a new
era of biomedicine, with our LBM training leading to
ground-breaking advancements and a transformative approach to
healthcare. Our exceptionally strong R&D team and leadership in
LLM and generative AI position us at the forefront of this
revolutionary field. With headquarters in Silicon Valley,
California, and a branch office in Paris, we are poised to make a
global impact. Join us as we embark on this journey to redefine the
future of biology and medicine through the transformative power of
Generative AI.Key Responsibilities:
- PhD (or evidence of equivalent level of expertise) in Computer
Science, Artificial Intelligence, Machine Learning, or a related
technical field.
- Proven track record in research and innovation demonstrated
through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR,
ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or
Cell) journals and conferences.
- Skilled in developing, implementing, and debugging deep
learning methods/models in popular frameworks, such as JAX,
TensorFlow, or PyTorch, with an interest in generative models,
graph neural networks, or large-scale deep learning
applications.
- A strong theoretical foundation (statistics, optimization,
graph algorithms, linear algebra) with experience building models
ground up.
- A passion for interdisciplinary research (with an emphasis on
the intersection of AI and Biology), and willingness to acquire
necessary domain knowledge.
- Motivated and self-driven with the ability to operate with
partial and incomplete descriptions of high-level objectives (as is
typical in a start-up environment).
- Evidence of familiarity and utilization of software engineering
best practices (version controlling, documentation, etc), and
open-source contributions, especially if used by others.Nice to
Have:
- 3+ years of post-PhD experience in an industry or postdoc
role.
- Prior experience working at either a start-up or top research
industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).
- Hands-on prior experience working at the intersection of AI and
Biology.
- Experience in large-scale distributed training and inference,
ML on accelerators.Preferred Qualifications:
- Experience with cell-level data, particularly single-cell
RNA-sequencing data.
- Experience with tissue-level data, particularly spatial
transcriptomics, spatial proteomics, or microscopy (e.g. H&E,
IF, IHC).
- Experience with methods development for aforementioned data
types.
- Experience with multimodal or multiscale models (even in other
domains, e.g. remote sensing, medical imaging).
- Deep knowledge of one or more of the following: variational
autoencoders (especially biological variants like scVI), vision
transformers, graph neural networks, neural fields, diffusion
models, and self-supervised learning.Join us as we embark on this
journey to redefine the future of biology and medicine.We are an
equal opportunity employer. We celebrate diversity and are
committed to creating an inclusive environment for all
employees.
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Keywords: Genbio, Palo Alto , Research Scientist (AI) - Cell & Tissue Modeling, Other , Palo Alto, California
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