Careers at Imagenomix
Build the technology that gives every cancer patient access to precision medicine.
We are a small, focused team working on a problem that matters to hundreds of millions of people. If you want to do the most important work of your career, we would like to hear from you.
Why Imagenomix
Work that you can see, directly, in patient care.
Science before marketing
We published peer-reviewed research before we pitched investors. We validate before we ship. The science is the foundation, not the story on top.
Experienced team, real ownership
You will not be lost in a department. Every person on the team shapes the product, the science, and the company. Your decisions here matter.
A mission you can measure
Most cancer patients never receive molecular testing. Every product we build closes that gap. There is a number attached to our work, and it is going in the right direction.
Open positions
We are hiring.
We are an AI-driven digital pathology startup seeking a highly motivated and research-oriented AI Data Scientist. Your role will be pivotal in the analysis and interpretation of complex biomedical imaging data, bridging advanced machine learning research and clinical application, and contributing directly to diagnostics and therapeutic decisions. We are looking for a scientist who is independent in researching and implementing new methods, resilient under pressure, and deeply focused in a fast-paced environment.
Essential duties and responsibilities
- Model development: design, implement, and train advanced machine learning and computer vision algorithms, with a focus on convolutional neural networks (CNNs)
- Biomedical image analysis: develop specialized techniques for the analysis and interpretation of large-scale biomedical imaging datasets
- Algorithm optimization: apply a strong foundation in algorithms, data structures, and statistics to optimize model performance and diagnostic accuracy
- Research: proactively research and implement advanced methods to solve complex problems in digital pathology
- Technical reporting: translate complex findings and model performance metrics into accessible reports for technical and clinical stakeholders
- Cross-functional collaboration: integrate AI findings into the broader Imagenomix platform within a mission-driven culture
Required technical stack
- ML frameworks: deep proficiency and hands-on experience with TensorFlow and PyTorch
- Programming: mastery of Python and its data and image processing libraries
- Cloud: practical experience within AWS cloud environments
- Applied mathematics: strong expertise in machine learning algorithms, statistical modeling, and data structures
Qualifications
- Education: PhD or MS in Data Science, Computer Science, Computational Biology, or a related quantitative field
- Experience: deep expertise in machine learning and computer vision applied to biomedical imaging
- Publication record: a demonstrated track record of relevant publications
- Problem solving: proven analytical ability and the skill to manage multiple complex projects simultaneously
- Communication: excellent written and oral English, translating technical data for diverse audiences
What Imagenomix offers
- An opportunity to contribute to transformative healthcare technology
- A collaborative, mission-driven work culture that values new ideas
- Competitive compensation with comprehensive benefits
Send your resume, cover letter, and relevant publications or work samples to careers@imagenomix.ai
We are seeking a highly autonomous Cloud ML Engineer / AI Infrastructure Engineer to architect and own our production environment. You will work directly with the CTO and Data Science team to bridge deep learning research and a scalable, cloud-native product, building the machinery that lets our models analyze massive datasets, specifically whole-slide images (WSIs), efficiently and reliably. We are looking for a builder who thrives with minimal supervision, takes full ownership of architectural decisions, and is excited by handling terabytes of complex medical data. This position begins remote and transitions to a hybrid model with periodic on-site collaboration.
Essential duties and responsibilities
- Infrastructure ownership: architect and maintain a secure, high-performance AWS infrastructure for heavy compute and massive data ingress and egress
- Production deployment: package and containerize trained DL models for high-availability inference, ensuring seamless transitions from research to production
- WSI pipeline management: build and optimize pipelines for processing and running inference on whole-slide images, managing the storage and memory constraints of high-resolution scanned data
- Strategic collaboration: work with the CTO and Data Science team to guide deployment feasibility and streamline the path to production
- Vendor and CI/CD integration: coordinate with cloud vendors for secure data transitions and manage GitLab-based CI/CD pipelines
- Custom reporting: develop automated reporting for processing results, model performance, and system health
Required technical stack
- Cloud: advanced AWS expertise (EC2, S3, ECS/EKS, Lambda, SageMaker, IAM)
- ML frameworks: deep proficiency with TensorFlow and PyTorch, and expertise in Python
- DevOps/VCS: expert knowledge of Git and CI/CD orchestration
- Containerization: mastery of Docker and Kubernetes (EKS)
- Infrastructure as code: experience with Terraform or CloudFormation
- Data science ecosystem: proficiency with CV and ML libraries (OpenCV, NumPy, Pandas, Scikit-learn)
Qualifications
- Experience: PhD or MS in Computer Science, Data Science, or a related field, with 3+ years in Cloud/ML engineering, preferably in a startup or fast-paced R&D environment
- Autonomy: proven ability to make high-level architectural decisions and execute with minimal supervision
- Problem solving: a track record of optimizing infrastructure for massive datasets (WSI experience a significant plus)
- Communication: ability to translate research requirements into production-ready infrastructure
Send your resume, cover letter, and relevant work samples to careers@imagenomix.ai
Don't see your role?
If you believe in what we're building, we want to hear from you.
We are a small team and we hire slowly and deliberately. If you have expertise that would contribute to our mission, even without a listed opening that fits exactly, send us a note.
We are particularly interested in backgrounds in computational pathology, digital health, oncology, clinical operations, or enterprise healthcare sales.
Areas we're always interested in
Join the mission
Cancer genetics from every image. For every patient. Everywhere.
Every person we hire works directly on closing the gap that leaves most cancer patients without molecular testing.