About BOSTONGENE

BostonGene is redefining precision medicine with its AI-powered, multiomic approach to understanding and treating complex diseases. By integrating deep molecular profiling—including genomics, proteomics and the immune system—the platform delivers a systems biology view that accelerates drug development and clinical decision-making. With a CLIA-certified, CAP-accredited lab, BostonGene provides clinically validated insights that personalize care and support translational breakthroughs. Partnering with leading pharma, biotech and cancer centers, BostonGene drives innovation and advances transformative therapies.

Position Summary

We are seeking a highly motivated Senior Bioinformatics Scientist with expertise in imaging and multi-omics data analysis to contribute to AI/ML model development, validation, and deployment. You will join a multidisciplinary team of scientists and engineers working at the intersection of biology, computation, and clinical research.

Key Responsibilities

• AI/ML Development: Design, train, and validate machine learning models for analyzing digital pathology (whole-slide images), genomics, and multi-modal data to predict biomarkers, therapeutic response, and clinical outcomes.
• Data Integration: Build and optimize pipelines that integrate DNA/RNA sequencing, histopathology, imaging, immune profiling, and clinical metadata into unified AI-ready datasets.
• Model Validation and Deployment: Perform analytical and clinical validation of AI/ML algorithms and integrate them into research and production workflows.
• Data Curation and Annotation: Manage and preprocess large-scale datasets, including image annotation and omics data harmonization, ensuring data quality and usability.
• Collaboration: Work closely with pathologists, computational scientists, biologists, and software engineers to design translational solutions that address real-world clinical challenges.
• Biomarker Discovery: Support identification of biomarkers from histopathology, spatial omics, and transcriptomic data to enable patient stratification and companion diagnostics.
• Research and Innovation: Stay current with the latest advancements in AI, digital pathology, spatial biology, and foundational models to contribute to innovation pipelines and publications.

Required Qualifications

• PhD (or MS with 2+ years of relevant experience) in Computational Biology, Bioinformatics, Computer Science, AI, or related field.
• Strong background in machine learning, including deep learning (CNNs, ViTs, UNet), optimization, and self/weakly-supervised learning.
• Proven experience in developing AI models for medical imaging (classification, segmentation, detection) and handling large-scale WSI datasets.
• Solid knowledge of omics data processing (e.g., RNA-seq, WES/WGS), preferably in oncology or immunology settings.
• Proficiency in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Excellent problem-solving skills, especially for multi-modal data integration.
• Strong communication and collaboration skills; experience working in interdisciplinary teams.
• A track record of publications, patents, or contributions to deployed AI tools in healthcare.

Preferred Qualifications

• Experience with foundational model architectures and multi-modal model training.
• Hands-on experience with histopathology, spatial omics, or structured/unstructured clinical data.
• Previous work in a biotech, clinical research, or regulated environment.

What We Offer

• Opportunity to contribute to cutting-edge AI technologies and translational medicine
• Collaborative, mission-driven team with expertise in data science, biology, and clinical care
• Competitive salary and benefits
• A chance to make a meaningful impact on patient care and the future of precision medicine