Lead Data Scientist

About our team: MCG develops evidence-based guidelines that help patients get the right care in a variety of healthcare settings. The data science team at MCG combines machine learning with the expert knowledge of our guidelines to increase the efficiency and accuracy of our users’ documentation workflows. 

Position Summary: As Lead Data Scientist you will serve as the technical leader for our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will bring experience with best practice and lead brainstorming, technical design, prioritization of experiments, and managing dependencies. You will keep abreast of the state of the art in LLMs while guiding the team’s research of novel techniques to solve issues unique to our application.  

Essential Functions and Key Responsibilities:

• Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve 

• Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation 

• Provide technical and project leadership for other Data Scientists 

• Create and test novel LLM based systems 

• Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques 

Our tech stack 

• Primarily Python jobs and applications  

• OpenAI and other proprietary LLM APIs 

• AzureML for Pytorch training 

• Kubernetes via AKS or EKS for compute (with support from infra team) 

• Databricks for data lake 

• Flyte for orchestration  

Minimum Qualifications Required 

• 8 years of experience in Data Science or Machine Learning Engineering 

• Expert level Python: able to write reliable, extensible code 

• Demonstrated experience translating high level requirements into models in production 

• Deep experience with Natural Language Processing (NLP)  

• Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks 

• Experience using pretrained LLM’s for zero or few-shot learning tasks 

• Experience generating visualizations for evaluation of complex systems 

• Scientific mindset and ability to run experiments to guide model selection and hyperparameter search 

Preferred Qualifications 

• Strong written communication skills 

• Experience putting LLM based services into production 

• Experience working with clinical data 

• Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar) 

Pay Range: $167,000 – $268,000

 Other compensation: Bonus Eligible

  Perks & Benefits:  

💻 Remote 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 holidays + paid volunteer days  

👶 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.