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.
Position Summary
: The data science team at MCG Health is looking for a Staff Data Scientist to assist our work creating state of the art machine learning solutions that improve the efficiency of clinical documentation.
Our tech stack
- Primarily Python jobs and applications
- Kubernetes via AKS or EKS for compute
- OpenAI and other propietary LLM APIs
- AzureML for Pytorch training
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
- Good written communication skills
- Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
- Experience putting LLM based services into production
- Experience working with clinical data
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
Pay Range:
$167,400 – $234,400
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.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. 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.
