GenBio AI · 2 months ago
Research Scientist (AI) - Sequence
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $260K/yr
3+ years expGenBio AI is a newly established start-up headquartered in Silicon Valley, dedicated to transforming biology and medicine through generative AI. The role of Research Scientist involves pioneering advancements in large biological models and contributing to interdisciplinary research at the intersection of AI and biology.
Artificial Intelligence (AI)BiotechnologyMedical
Qualification
Required
PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, 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 PyTorch, JAX, or Tensorflow with an interest in generative models, graph neural networks, or large-scale deep learning applications
A strong theoretical foundation (probabilistic models, 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
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
Experience with genomics, transcriptomics, or proteomics data, particularly functional assays (e.g. ATAC, CAGE, Hi-C, …)
Experience with complex data types, including multi-omics and health data (EHRs)
Familiarity with public data repositories (NCBI, ENSEMBL, ENCODE, TCGA, UK Biobank) and experience curating datasets to answer specific scientific questions
Experience with methods development for afore-mentioned 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: transformers, convolutional networks, discrete diffusion models, self-supervised learning, and co-embedding approaches
Company
GenBio AI
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales.
11-50 employees
H1B Sponsorship
GenBio AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
Funding
Current Stage
Early StageRecent News
2025-11-14
Company data provided by crunchbase