Machine Learning Data Scientist

Key Responsibilities

• Design, develop, evaluate, and deploy ML/DL models for EEG and behavioral datasets.
• Perform time-series analysis, feature engineering, and develop interpretable model outputs for scientific and clinical stakeholders.
• Apply rigorous statistical analysis, including data QC and model/method evaluation, and interpretation.
• Integrate model/methods into existing analytics platforms and production data pipelines.
• Monitor deployed models for performance, drift, and reliability; iterate in partnership with data science and engineering peers.
• Create dashboards and visualizations that support translational insights and clinical trial readouts.
• Collaborate closely with biologists, translational scientists, and clinicians to translate scientific questions into measurable signals and actionable endpoints.

Required Qualifications and Skills

• Bachelor’s degree in computer science, software engineering, biomedical engineering, electrical engineering, mathematics, or a related field; master’s degree preferred.
• Strong proficiency in Python, with solid data science fundamentals.
• Experience developing and training ML/DL models (e.g., Transformers, CNNs, RNNs/LSTMs).
• Strong background in statistics and data analysis (e.g., NumPy, Pandas, Jupyter-based workflows).
• Experience working with biomedical or clinical data and interpreting biological signals (EEG, behavior, clinical endpoints).
• Proficiency with Git and collaborative development workflows.
• Strong analytical, problem-solving, and communication skills, with the ability to deeply understand the "why" and "how" behind models and systems.
• Collaborative, driven mindset with experience working in a fast-paced startup environment.

Preferred

• Experience deploying ML models into production environments with monitoring and lifecycle management.
• Working experience in cross-functional teams spanning research, engineering, and clinical domains.
• Experience with time-series data or computer vision methods, particularly for behavioral or EEG signals.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and model/data deployment tooling (e.g., Docker).

Benefits

• Medical, dental, vision and life insurance plans
• HSA, FSA and dependent FSA
• Short- and long-term disability plans
• 401K
• Tuition reimbursement
• Generous paid time off policy and paid parental leave policy
• EAP
• Additional voluntary benefits

Total Rewards Plan

Axelyra offers competitive performance-based compensation, comprehensive benefits, and career development opportunities. This role is eligible for annual performance-based raise and discretionary bonus for both individual and PsychoGenics annual performance. Our benefits include:

• Medical, dental, vision and life insurance plans
• HSA, FSA and dependent FSA
• Short- and long-term disability plans
• 401K
• Tuition reimbursement
• Generous paid time off policy and paid parental leave policy
• EAP
• Additional voluntary benefits

Reasonable Accommodation

We provide qualified individuals with reasonable accommodation during the application and hiring process. If you require assistance or need reasonable accommodation due to disability, please contact Human Resources at: careers@psychogenics.com