Q Bio · 1 week ago
Senior Scientist - Predictive Modeling & Biomarker Analytics
Q Bio is transforming healthcare by combining AI, Physics, and Biology to automate the physical exam. They are seeking a Senior Scientist focused on predictive modeling and biomarker analytics to develop and deploy predictive models, integrate them into platforms, and collaborate with cross-functional teams to turn datasets into actionable health insights.
BiotechnologyHealth CareInformation TechnologyMedical
Responsibilities
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
Qualification
Required
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)
Preferred
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
Benefits
Competitive compensation and benefits package.
Company
Q Bio
On a mission to build the first Clinical Digital Twin Platform and make it accessible to everyone
H1B Sponsorship
Q Bio 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 (2)
2024 (1)
2023 (2)
2022 (1)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$91MKey Investors
Andreessen HorowitzKhosla Ventures
2024-07-18Series Unknown· $27M
2020-02-20Series B· $40M
2018-01-01Series A· $16.5M
Recent News
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2025-05-04
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