Data Scientist III
MedImpact Healthcare Systems, Inc.
full-time
Posted on:
Location Type: Office
Location: San Diego • Arizona, California • 🇺🇸 United States
Visit company websiteSalary
💰 $95,717 - $169,898 per year
Job Level
Mid-LevelSenior
Tech Stack
JavaPythonPyTorchSDLCSQLTensorflow
About the role
- Process and analyze structured and unstructured data, perform statistical modeling, and develop predictive analytics for various use cases such as drug spend forecasting, insurance plan performance optimization, medication fraud/waste/abuse detection and prevention, preventive care, and personalized treatment planning.
- Fine-tune and customize LLMs to simplify manual processes in healthcare systems, e.g., prior authorization rule extraction from guideline documents, data exchange file checking and error handling.
- Collaborate with domain experts to validate results and model performance.
- Develop and test code at all layers to make AI systems work end to end.
- Participate in design and code reviews and incorporates review feedback.
- Deploy and integrate AI systems into production environment.
- Build and maintain workflow frameworks that ensure AI performance monitoring and automated feedback loop for continuous improvement.
- Be curious and learn new technologies, keep skills current, stay on top of the industry’s best practices.
- Assist in mentoring and training less experienced team members.
Requirements
- BS/BA in Computer Science, Data Science, Statistics or related discipline and 6+ years’ experience or equivalent combination of education and experience, and 2 years of SME in respective areas.
- Computer Skills Experience in developing and operating large-scale machine learning solutions.
- Experience with deep learning frameworks such as Pytorch, TensorFlow, MLP, Large Language Models, Generative AI, LangChain, HuggingFace.
- Exposure in Gen AI like transformers, LLMs, text embeddings.
- Experience in fine-tuning and customizing LLMs for healthcare use cases, e.g., extracting rules from prior authorization guideline documents.
- Familiarity with healthcare data and systems.
- Knowledge of prior authorization and pharmacy benefit adjudication processes.
- 5+ years of experience in statistical modeling, data wrangling, machine learning, and AI technologies.
- Extensive experience in database, SQL, and one or more programming languages like Python or Java.
- Thorough knowledge of data science methodology, software development life cycle, and agile development best practices.
- Solid understanding of AI/ML/NLP principles, specifically with generative models.
- Experience with AI automation platforms.
- Knowledge of reinforcement learning in addition to supervised and unsupervised machine learning paradigms.
- Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
- Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
- Ability to prioritize and plan tasks to deliver results on time.
Benefits
- Medical / Dental / Vision / Wellness Programs
- Paid Time Off / Company Paid Holidays
- Incentive Compensation
- 401K with Company match
- Life and Disability Insurance
- Tuition Reimbursement
- Employee Referral Bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical modelingpredictive analyticsmachine learningdeep learningPytorchTensorFlowLarge Language ModelsGenerative AISQLPython
Soft skills
problem-solvingcritical thinkingcreativitycommunicationmentoringcollaborationcuriosityplanningorganizationfeedback incorporation