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Machine Learning Data ScientistPsychoGenics • United States
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Machine Learning Data Scientist

PsychoGenics
  • US
    United States
  • US
    United States
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À propos

Machine Learning Data Scientist
A spinout from PsychoGenics Inc, Axelyra
is a well-funded,biotech startupfocused 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 it's 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.
Location:
Paramus, NJ
(onsite)
Level:
Open (commensurate with experience)
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; iterates 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).
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.
Candidates must complete the application steps;
no emails please
.
Salary will be determined by factors including job-related skills, experience, knowledge, education and geographic location.
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
Axelyra is a veteran/disability/equal opportunity employer.
We take pride in maintaining a diverse work environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, age, sex (including pregnancy, gender identity or expression and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, status as a protected veteran, or any other legally protected status. We strive to create a workplace that cultivates bold innovation through collaboration and allows our people to unleash their full potential.
Reasonable Accommodation
PsychoGenics provides 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
Nearest Major Market:
New York City
Apply now »
  • United States

Compétences linguistiques

  • English
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