Job description
At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you’ll be able to fully realize your potential. Plus, you’ll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
As a Staff Data Scientist you will be responsible for advancing our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will design and execute experiments and build necessary tooling. You will keep abreast of the state of the art in LLMs while conducting research of novel techniques to solve issues unique to our application.
You will:
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
What We’re Looking For:
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
Our Tech Stack:
Primarily Python jobs and applications
OpenAI and other Foundation model APIs
Pytorch on AzureML for our own training
Kubernetes via AKS or EKS for serving compute (with support from infra team)
Databricks for data lake
Flyte for orchestration
Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
Experience generating visualizations for evaluation of complex systems
Pay Range: $159,450 - $223,230
Other compensation: Bonus Eligible
Perks & 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 holidays + paid volunteer days
👶 up to 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.
MCG Health is a Seattle, Washington-based company. This position can be done from a remote location and will require some in-person travel.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees’ unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provideaccommodationsfor individuals. Please let us know if you require any support.
