Data Scientist (Medtech)

TL;DR

Data Scientist (Medtech): Designing and developing state-of-the-art classification algorithms for neurological indications, taking EEG neurodiagnostics to the next level with an accent on machine learning, pattern recognition, signal processing and time-series analysis. Focus on documenting and validating models to comply with regulatory requirements for medical device algorithms.

Location: Sunnyvale, CA

Salary: $184,000 - $199,000 USD

Company

hirify.global is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions.

What you will do

• Design classification algorithms for various neurological indications using time-series analysis, statistical signal processing, and machine learning techniques.
• Analyze data for trends and patterns, and interpret data with a clear objective in mind.
• Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed.
• Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance.
• Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms.
• Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support.

Requirements

• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines.
• 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development.
• Proficient in Python and/or Matlab and/or R or similar programming languages.
• Experience and interest in biological signal processing and algorithm development for biomedical applications.
• Strong analytical skills, detail-oriented and collaborative.
• Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context.

Nice to have

• Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data.
• Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development.

Culture & Benefits

• 100% Employer paid Health Benefits for Employees.
• 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection).
• 401(k) with a generous company match.
• Flexible paid time off.
• Excellent parental leave policy.
• Fantastic culture with tremendous career advancement opportunities.