STAFF DATA SCIENTIST

MCG Health; Seattle (WA); On-site; USD 159,000 - 224,000; Full time

Job summary

Join a forward-thinking healthcare organization as a Staff Data Scientist, where you'll lead innovative Natural Language Processing projects that enhance patient care. This role involves translating product needs into machine learning tasks, experimenting with state-of-the-art LLMs, and putting LLM-based services into production. Enjoy a collaborative environment that fosters personal and professional growth, along with world-class benefits and a commitment to diversity and inclusion. If you're passionate about making a meaningful impact in healthcare, this is the opportunity for you.

Benefits

Medical, dental, and vision insurance

401K retirement plan

Flexible spending accounts

Paid time off

Paid parental leave

LGBTQ+ Health Services

Qualifications

• 6+ years of experience in Data Science or Machine Learning Engineering.
• Expert-level Python skills and knowledge of deep learning fundamentals.
• Experience with LLMs and clinical data.

Responsibilities

• Translate product functionality into ML tasks for data scientists.
• Create and test novel LLM-based systems.
• Stay informed on methodologies for evaluating generative models.

Skills

Python

Natural Language Processing

Deep Learning

Machine Learning

Clinical Data Analysis

Experimentation

Model Fine-tuning

Visualization

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

PyTorch

AzureML

OpenAI APIs

Kubernetes

Flyte

Sagemaker

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.

Responsibilities:

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

What We're Looking For:

1. 6 years of experience in Data Science or Machine Learning Engineering.
2. Expert-level Python skills: able to write reliable, extensible code.
3. Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks.
4. Experience using pre-trained LLMs for zero or few-shot learning tasks.
5. Scientific mindset and ability to run experiments to guide model selection and hyperparameter search.
6. Experience putting LLM-based services into production.
7. Experience working with clinical data.
8. Primarily Python jobs and applications.
9. Experience with OpenAI and other Foundation model APIs.
10. Experience with PyTorch on AzureML for training.
11. Knowledge of Kubernetes via AKS or EKS for serving compute (with support from infra team).
12. Experience with Flyte for orchestration.
13. Experience with cloud-based machine learning training providers (Sagemaker, AzureML, or similar).
14. Experience generating visualizations for evaluation of complex systems.

Pay Range : $159,450 - $223,230

Other compensation : Bonus Eligible

Medical, dental, vision, life, and disability insurance.

401K retirement plan; flexible spending and health savings accounts.

15 days of paid time off + additional front-loaded personal days.

Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave.

LGBTQ+ Health Services.

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 remotely and may require some in-person travel.

All roles at MCG involve occasional travel for team or company-sponsored events.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. Violations may result in penalties.

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. 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 fostering a diverse workplace. Accommodations are available upon request.