AI / ML Engineer - Platform & ML Ops (Clinical Trial AL Tooling)
Axelyra is a well-funded, biotech startup focused on unmet needs in psychiatric and neurological disorders. A spinout from PsychoGenics Inc, we leverage proprietary preclinical platforms and AI-driven analytics spanning both clinical and preclinical behavioral and electrophysiological (EEG) phenotyping to enable a compound re-innovation strategy. We are building AI-enabled platforms that support clinical development, including tools and models that help quantify treatment response, stratify patients, and accelerate learning across trials. Our work is highly multidisciplinary, with day-to-day collaboration across data science/engineering, biologists, translational scientists, and clinicians. Location: Paramus, NJ (hybrid remote allowed) Level: Open (commensurate with experience) Responsibilities:
- Train, optimize, and deploy ML/DL models into production workflows.
- Integrate models into existing data processing pipelines (preclinical + clinical).
- Build ETL/data pipelines and data QC tooling for EEG/behavioral modalities.
- Develop APIs and services that power internal analytics and trial-facing platforms.
- Partner with scientists, biologists, and clinicians to productionize models (monitoring, performance, drift, reliability).
- Bachelor’s degree in computer science, Software Engineering, Electrical Engineering, Statistics, Mathematics, or a related field. Master’s degree is a plus.
- Proficiency in Python; working knowledge of C++, C#, or Java.
- Experience with cloud computing (AWS, Azure, or GCP).
- Experience with deployment tools (e.g., Docker).
- Experience with computer vision and time-series data.
- Familiarity with biomedical context and/or interpretation of biological/clinical data.
- Collaborative, driven with experience working in a fast-paced start-up environment.
- Excellent analytical and problem-solving skills, with the ability to deeply understand the "why" and "how" of our work.
- Strong communication and teamwork abilities.
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