SRT Therapeutics Inc. · 9 hours ago
Principal Computational Biologist, Computational Biology
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$130K/yr - $215K/yr
5+ years expSRT Therapeutics is a San Diego-based biotech company focused on precision medicine in inflammatory diseases. They are seeking a Principal Computational Biologist to lead machine learning and deep learning initiatives, guiding multimodal data-driven strategies to identify biomarkers and support research and development efforts.
BiotechnologyHealthcareWellnessPharmaceuticalBiopharmaHealth Care
Responsibilities
Serve as the technical lead and SME for machine learning and deep learning initiatives; identify, evaluate, and implement state-of-the-art algorithms (e.g., Transformers, Graph Neural Networks, Multi-instance Learning) for biological problems
Develop and deploy robust models that fuse heterogeneous data modalities combining high-dimensional omics data (scRNA-seq, spatial transcriptomics) with unstructured data (H&E pathology images, clinical notes/EHR). Proactively identify, evaluate, analyze, and integrate mission-relevant genomic datasets into the company's knowledge base and contribute to evidence generation strategies across clinical trials, precompetitive consortia, and population biobanks
Apply predictive modeling to identify novel biomarkers for patient segmentation, pharmacodynamics, and response prediction in inflammatory disease indications; partner with functional biomarker leads across precision medicine and pipeline programs to prioritize target engagement and translational biomarker strategies
Lead the creation of 'virtual cell' and tissue models to perform in silico drug screening and MOA studies to prioritize targets before wet-lab validation
Partner closely with wet-lab biologists to design experiments that generate ML/DL-ready data and translate computational findings into actionable biological hypotheses
Contribute to scalable, reproducible, and well documented computational pipelines for processing and analyzing large-scale proprietary and public datasets (e.g., genomics assays, multi-omics, imaging, clinical data, UK Biobank, and TCGA), enabling actionable biological insights
Mentor junior computational biologists in ML/DL best practices and present technical findings to cross-functional teams and leadership
Qualification
Required
Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field with a focus on biological applications
5+ years of post-graduate pharmaceutical/biotech industry experience applying ML/DL to biological datasets, including translating computational findings into actionable biological and therapeutic insights
Demonstrated mastery of deep learning frameworks (PyTorch, TensorFlow, JAX) and architectures relevant to biology (e.g., VAEs, GANs, GNNs, Transformers)
Extensive experience evaluating ML/DL approaches and performance on sparse, noisy, and incomplete human data sets
Proven track record of utilizing ML/DL approaches to deliver actionable findings via the integration of two or more data modalities (e.g., Genomics + Imaging, or Omics + Clinical Data)
Extensive experience analyzing bulk and single-cell omics data (RNA-seq, ATAC-seq, scRNA-seq, WGS, WES, proteomics)
Deep understanding of gene networks, pathway analysis, and systems-level data interpretation
Familiarity with analyzing Electronic Health Records (EHR), including structured data and unstructured clinical notes
Expert-level fluency in Python and R; proficiency with cloud computing environments (AWS), containerization (Docker), and version control (git)
Preferred
Experience with computational pathology, digital image analysis, or computer vision techniques applied to biological imaging including QC, segmentation, CNNs, transformers
Company
SRT Therapeutics Inc.
SRT Therapeutics is a San Diego-based biotech company established in 2024 by the founders of Prometheus Biosciences, Steph Targan, MD (Cedars Sinai), Janine Bilsborough, Ph.D.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$47.4M2025-08-13Undisclosed· $47.4M
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