AI/ML Engineer - Platform & ML Ops (Clinical Trial AL Tooling)
About The Position
A spinout from PsychoGenics Inc, Axelyra is a well-funded, biotech startup focused on unmet needs in psychiatric and neurological disorders. 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. PsychoGenics is a preclinical CRO with expertise in central nervous system (CNS) and orphan disorders. PsychoGenics is known for its cutting-edge translational approach to research, customized solutions, the breadth, and quality of our work, as well as for our ability to identify statistically relevant phenotypic changes that help clients quantify the efficacy of their treatments. With an extensive portfolio of highly predictive disease models and unparalleled experience performing studies for biopharmaceutical companies of all sizes, we enable clients to deliver much needed superior clinical candidates to patients.
Requirements
- Bachelor’s degree in computer science, Software Engineering, Electrical Engineering, Statistics, Mathematics, or a related field.
- 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.
- Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.
Nice To Haves
- Master’s degree is a plus.
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).
Benefits
- Medical, dental, vision and life insurance plans
- HSA, FSA and dependent FSA
- Short- and long-term disability plans
- Stock-based incentive plan
- 401K with company contribution
- Tuition reimbursement
- Generous paid time off policy and paid parental leave policy
- EAP
- Additional voluntary benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
