Senior Scientist - Predictive Modeling & Biomarker Analytics
San CarlosFull-TimeSeniorOther
What You Will Do:
- Develop and deploy predictive models and risk stratification frameworks linking imaging, lab, and genomic biomarkers.
- Implement pattern recognition and feature correlation pipelines to detect early biological changes across systems (e.g., neuro–metabolic, musculoskeletal–metabolic).
- Translate scientific hypotheses into computational models that can be tested and validated using Q Bio’s internal datasets.
- Integrate models into the Gemini and Constellation platforms for visualization and clinical interpretation.
- Collaborate with engineers on scalable, production-ready codebases and model deployment pipelines.
- Leverage Q Bio’s diverse datasets and external cohorts for model validation.
- Partner with clinical and regulatory stakeholders to ensure model robustness and alignment with submission requirements.
What You Will Bring:
- MS or PhD in Biomedical Engineering, Computational Biology, Data Science, or related quantitative discipline.
- 6+ years of experience building and validating machine learning or predictive models in biomedical or imaging domains.
- Advanced proficiency in Python, scientific computing, and ML frameworks (scikit-learn, PyTorch, TensorFlow).
- Deep understanding of statistical learning, data normalization, and model interpretability in heterogeneous biomedical datasets.
- Track record of delivering production-quality analytical models or pipelines (not just prototypes).
- Excellent communication skills and the ability to collaborate with cross-functional teams (engineering, clinical, product).
- Experience integrating quantitative imaging data (MRI, qMRI, CT) with biochemical, genomic, or clinical biomarkers.
- Familiarity with biological pathway modeling or multi-omics integration.
- Exposure to regulated environments (FDA submissions, IRB-approved studies, clinical validation).
- Demonstrated ability to move from concept to deployment in small, fast-paced teams
What We Offer
- Opportunity to work on cutting-edge medical imaging technology with real-world impact
- Collaborative environment with top talent in engineering, data science, and healthcare
- Competitive compensation and benefits package
- Opportunity to help scale a start-up business and to professionally grow in a dynamic learning and development environment
