Data Scientist V

MedImpact•San Diego, CA

12d•$131,188 - $236,139•Onsite

About The Position

MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team! Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare. At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution!

Requirements

BS/BA and 10+ years’ experience or equivalent combination of education and experience, and 6 years of SME in respective areas
3+ years of experience in a technical leadership role leading data science and AI engineering teams.
Proven track record of leading AI solutions from ideation to implementation, production, and value realization.
2+ years of experience in developing predictive and prescriptive analytics in pharmacy benefit management for various use cases, such as drug spend forecasting, health benefit plan performance optimization, and medication fraud/waste/abuse detection and prevention.
Familiarity with healthcare data and systems.
Knowledge of prior authorization and pharmacy benefit adjudication processes.
Extensive experience with databases, SQL, and programming languages like Python or Java.
Thorough knowledge of data science methodology, software development life cycle, and agile development best practices.
Deep understanding of AI/ML/NLP principles, specifically with generative models.
Proficiency with deep learning frameworks such as Pytorch, TensorFlow, MLP, Large Language Models, Generative AI, LangChain, HuggingFace.
Strong understanding and exposure in Gen AI like transformers, LLMs, text embeddings.
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.
Proven ability to prioritize and plan multiple projects to ensure effective delivery on time and budget.
Business acumen, understanding business implications of decisions, demonstrating knowledge of market and competition, and aligning work with strategic goals
Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry.
Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.
Ability to read, analyze, and interpret the most complex documents.

Responsibilities

Work with Application Development & Support teams as a data science and AI subject matter expert and architect to develop scalable AI solutions.
Design and develop predictive and prescriptive 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.
Design, develop, and test code at all layers to make AI systems work end to end.
Create and maintain system design document.
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.
Initiate and drive projects to completion independently, assuming full responsibility and end-to-end accountability for end-product delivery.
Promote and enable adoption of technical advancements in Data Science; elevate the art of Data Science practice at MedImpact.
Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals.
Partner with cross-functional teams to initiate, lead or contribute to large scale strategic projects for team, department, and company.
Provide technical guidance and mentorship to less-experienced team members on solution design as well as lead code/design reviews.