GenBio AI ยท 3 days ago
Research Scientist (AI) - Science Team
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $260K/yr
3+ years expGenBio AI is a newly established start-up focused on transforming biology and medicine through generative AI. The Research Scientist will lead the development of biological foundation models, collaborate with research partners, and contribute to groundbreaking discoveries in the field.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
Lead and contribute to the development, adaptation, and application of one or more of the following biological foundation models: sequence, structure, single cell, imaging, phenotype and more
Collaborate with internal and external research partners to extend model capabilities and translate cutting-edge methods into applied biological insights
Design and execute experiments leveraging pan-modal biological data, from single-cell and spatial transcriptomics to multi-omic datasets
Identify high-impact opportunities for model-driven discoveries, validation studies, and new biological use cases
Mentor junior researchers and contribute to a culture of scientific excellence and innovation
Communicate research outcomes in internal/external reports, presentations, and top-tier journals/conferences
Qualification
Required
MSc / PhD (or equivalent expertise) in Computational Biology, Machine Learning, Bioinformatics, or a related technical field
Proven track record in research and innovation in the AI for biology space as demonstrated through publications in top-tier AI/ML (e.g., NeurIPS, ICML, ICLR) and/or core biology (e.g., Nature, Science, Cell) venues
Experience developing and debugging deep learning models in PyTorch, JAX, or TensorFlow, ideally with an emphasis on generative models, graph neural networks, or large-scale biological data applications
Strong understanding of biological data modalities, including some of the following: Single-cell RNA-seq, Single cell epigenetic data, Structure data analysis, Analysis of biomedical imaging data, Human phenotype data or other modalities that are relevant to the human simulation vision
Passion for interdisciplinary research at the intersection of AI and Biology, and willingness to acquire domain-specific expertise
Motivated and self-directed, capable of operating in a fast-paced, startup environment
Familiarity with software engineering best practices (version control, documentation, testing) and a record of open-source contributions preferred
Preferred
3+ years of postdoctoral or industry experience applying ML to biological data
Experience with genomics, transcriptomics, or proteomics datasets and functional assays (e.g., ATAC, Hi-C, CAGE)
Familiarity with multi-omics, health, or EHR datasets and public data repositories (NCBI, ENCODE, ENSEMBL, TCGA, UK Biobank)
Experience integrating and curating biological datasets for model training or hypothesis generation
Knowledge of multimodal or multiscale models, including transformers, diffusion models, VAEs, or graph neural networks
Prior exposure to large-scale distributed training and inference environments, and ML on accelerators
Background in network or systems biology, including gene regulatory networks, clustering, and embedding algorithms
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