Staff Data Scientist

MCG Health Logo

MCG Health

πŸ’΅ $159k-$223k
πŸ“Remote - Worldwide

Summary

Join MCG, a leading healthcare organization, as a Staff Data Scientist and advance our Natural Language Processing (NLP) research and development. You will translate product functionality into machine learning tasks, design and execute experiments, build tooling, and stay abreast of the latest LLM advancements. This role requires 6 years of experience in data science or machine learning engineering, expert-level Python skills, and deep learning fundamentals. You will work with clinical data and deploy LLM-based services into production. MCG offers a remote work environment, competitive compensation ($159,450 - $223,230), comprehensive benefits including health insurance, retirement plan, paid time off, parental leave, and more. We cultivate a work environment that nurtures personal and professional growth and embrace diversity and equal opportunity.

Requirements

  • 6 years of experience in Data Science or Machine Learning Engineering
  • Expert level Python: able to write reliable, extensible code
  • Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
  • Experience using pre-trained LLM’s for zero or few-shot learning tasks
  • Scientific mindset and ability to run experiments to guide model selection and hyperparameter search
  • Good written communication skills
  • Experience putting LLM based services into production
  • Experience working with clinical data

Responsibilities

  • Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve
  • Follow and contribute to best practices for our research activities including data collection/annotation, literature research, experimentation, and evaluation
  • Create and test novel LLM based systems
  • Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques

Preferred Qualifications

  • Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
  • Experience generating visualizations for evaluation of complex systems

Benefits

  • Remote US work
  • Medical, dental, vision, life, and disability insurance
  • 401K retirement plan; flexible spending and health savings account
  • 15 days of paid time off + additional front-loaded personal days
  • 14 company-recognized holidaysβ€―+ paid volunteer days
  • Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
  • LGBTQ+ Health Services
  • Pet insurance
  • Bonus Eligible

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