**Research Scientist – Machine Learning & Precision Neuroscience
Location:**
Mountain View, CA or Remote
Department:
Research & Development
Employment Type:
Full-Time
What You’ll Do
As a Research Scientist at Neumarker, you will work on machine-learning–driven research to discover and validate clinically meaningful biomarkers across epilepsy, ASD, and MDD. You will design and evaluate advanced models for time-series and multimodal neurobiological data, translating complex signals into actionable clinical insights. Working closely with clinicians, neuroscientists, and engineers, you will help advance precision neuroscience from research to real-world patient impact.
Key Responsibilities
Machine Learning for Clinical Precision Medicine
· Develop predictive ML models for treatment response, patient stratification, and disease characterization in epilepsy, ASD, MDD, and related CNS conditions.
· Build advanced ML architectures (transformers for time series, graph models, deep learning, probabilistic models, self-supervised learning) tailored to EEG and multimodal clinical datasets.
· Design and implement multimodal fusion approaches integrating EEG, imaging, genomics, and behavioral/clinical measures.
· Establish rigorous validation pipelines (nested CV, site-level generalization, calibration, ablation testing) aligned with clinical translational needs and regulatory expectations
Biomarker Discovery & Neurobiological Interpretation
· Extract and model neurophysiological features, connectivity, spectral signatures, network dynamics, and developmental markers, relevant to epilepsy, ASD, and MDD.
· Apply interpretability tools (SHAP, saliency, attention analysis, feature attribution) to identify biomarkers that are both biologically meaningful and clinically actionable.
· Support translation of ML-derived biomarkers into candidate digital or physiological endpoints for clinical trials and treatment-selection tools.
Research Collaboration & Scientific Leadership
· Collaborate with clinicians, neuroscientists, ML engineers, and external research partners across epilepsy, ASD, and MDD programs.
What You Have
· Ph.D. or M.S. in Machine Learning, Computer Science, Computational Neuroscience, Biomedical Engineering, Electrical Engineering, Applied Mathematics, or a related field.
· Strong experience developing ML models for high-dimensional biological or clinical datasets (time series strongly preferred).
· Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, JAX, and scikit-learn.
· Experience with time-series analysis or signal processing; EEG is a strong plus.
· Strong grounding in statistical rigor, experimental design, and robust validation methodology.
· Excellent communication skills and ability to articulate ML findings in clinical and scientific contexts.
What You Might Have, but isn’t required
· Experience modeling patient heterogeneity, treatment response, or disease progression in epilepsy, ASD, or MDD.
· Expertise in multimodal ML, representation learning, self-supervised learning, or generative modeling.
· Experience with biomarker research, digital phenotyping, or translational clinical AI.
· Peer-reviewed publications in ML, neuroscience, biomedical engineering, or related areas.
· Experience working with clinical partners or biopharma collaborators.
The Team You’ll Work Closest With
You will work within our Research & Development team while directly communicating with other internal departments and external partners regularly. We are excited to meet you!
Why You Will Love Us
·
100% Virtual Environment
– Work from Home!
·
Fantastic Culture
– Highly collaborative, mission-driven team
·
Health Benefits
– Medical, Dental, and Vision
·
Focused on Your Financial Future
– 401(k) with Company Match
·
Investment in You
– Ample opportunity to grow your career
·
Work/Life Balance
– Paid vacation time for rest and relaxation
·
Passion in what we do
– Serving patients with Epilepsy, Autism and other CNS disorders
About Us
Neumarker is a neuroscience and AI company building advanced precision medicine tools for central nervous system (CNS) disorders, including epilepsy, autism spectrum disorder (ASD), and major depressive disorder (MDD). We combine clinically validated datasets with machine learning, computational neuroscience, and multimodal neurobiological modeling (EEG, MRI, genomics, behavioral data) to discover biomarkers that improve diagnosis, stratification, and treatment selection.
Our mission is to bring clinically actionable precision neurology, precision developmental neuroscience, and precision psychiatry to real-world patient care.
We kindly request no outreach from recruitment firms regarding this position.