Staff R&D Engineer – Data Science

Role Overview

• Researching and evaluating cutting‑edge AI technologies—including generative AI, LLMs, and deep learning—and rapidly translating them into functional prototypes and proof‑of‑concept implementations.
• Building, training, and fine‑tuning machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Keras, Scikit‑learn, and other emerging toolkits.
• Designing and implementing scalable data pipelines, preprocessing workflows, and feature engineering steps that support experimentation and model development.
• Developing end‑to‑end prototype systems—including data ingestion, model execution, evaluation, and visualization—to demonstrate feasibility and performance of new AI capabilities.
• Running structured experiments, benchmarking models, and validating technical performance using statistical methods, simulation tools, and experimental datasets.
• Creating internal tools, scripts, and interfaces that allow team members to test, interact with, and evaluate AI‑driven functionalities.
• Collaborating with R&D, engineering, and product teams to integrate prototype AI components into existing software environments, instruments, or clinical workflows.
• Documenting technical findings, experiment results, and model performance to support next‑step development, regulatory considerations, and engineering decisions.
• Mentoring team members on implementation techniques, best practices for data preparation, model tuning, and software engineering for AI systems.
• Communicating complex technical results—model behavior, limitations, assumptions, and experimental outcomes—to stakeholders across technical and non‑technical teams.
• Work in a collaborative, fast-paced, multidisciplinary environment.

Requirements

• Bachelor's Degree in Data Science, Artificial Intelligence, Computer Science, or a related field required with 8+ years of experience applying AI/ML in R&D or product innovation.
• PhD in Data Science, Artificial Intelligence, Computer Science, or a related field preferred
• Demonstrated experience leading AI initiatives in a research or commercial environment.
• Expertise in machine learning, deep learning, and statistical modeling.
• Advanced programming skills in Python and familiarity with frameworks such as Scikit-learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras.
• Strong understanding of data architecture, preprocessing, and feature extraction techniques.
• Proven ability to translate AI capabilities into real-world solutions with measurable business impact.
• Experience working with healthcare or regulated products is a plus.
• Excellent communication skills and the ability to influence cross-functional stakeholders and decision-makers.

Tech Stack

• Keras
• Numpy
• Pandas
• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• 401k Matching Program
• 401k Plus Program
• Discounted Stock Options
• Tuition Reimbursement
• Flexible Personal/Vacation Time Off
• Paid Holidays
• Flex Holidays
• Paid Community Service Day
• Medical
• Dental
• Vision
• Health Savings Account (Employer Contribution of $500+ annually)
• Employee Assistance Program
• Parental Leave
• Fertility and Adoption Assistance Program
• Discounts on fitness clubs, travel and more!