Veradigm

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information.

Veradigm Payer 

Veradigm understands that managed care organizations, pharmacy benefit managers (PBMs), insurance companies, health plans, and other payers need to balance controlling costs with the goal of providing the highest quality of care and optimizing health outcomes for their members.

Solutions from Veradigm Payers:

• Deliver insights to drive quality outcomes cost-effectively
• Improve efficiency for themselves, their providers, and their members through high-speed clinical data exchange
• Impact point-of-care decision making positively by integrating payer guidance and prior authorization management directly in each healthcare provider’s existing workflow

Job Description: 

We seek a talented and dedicated software engineer to support Machine Learning/Natural Language Processing (ML/NLP). This person would work closely with our Data Scientists, product teams, DevOps, and content experts to enhance and optimize existing NLP engines and ML models, and to develop new ones. The ideal candidate will have a strong technical background in ML and NLP, along with practical experience with health or other highly sensitive data. 

Key Responsibilities: 

• Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise. 
• For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications. 
• Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data. 
• Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications. 
• Design and conduct the training, testing, and validating ML/NLP models, working closely with data curators/SMEs and data scientists to ensure that good AI practices are followed, and that models achieve sufficient performance (statistical, operational, privacy/security) to warrant deployment within a healthcare setting. 
• Stay abreast of the latest developments in ML and NLP technologies, and with best practices in “responsible AI”. 
• Ensure adherence to data privacy and security standards specific to the healthcare industry. 

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred. 
• Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred. 
• Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python. 
• Experience with big data and cloud computing environments, Azure and Snowflake preferred. 
• Demonstrated proficiency in applicable programming languages such as Python, Java, SQL 
• Experience with ML and NLP libraries (e.g., TensorFlow, PyTorch, NLTK, spaCy, Scikit-learn. Familiarity with health-related LLMs and GenAI tools such as LangChain desirable. 
• Strong understanding of data structures, algorithms, ML DevOps (build, continuous integration, deployment) and best practices using DevOps framework and GitHub. 
• Familiarity with healthcare data standards and experience in working with EHRs, medical coding, or risk adjustment is highly desirable. 
• Excellent problem-solving skills and the ability to work collaboratively in a team environment. 
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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Enhancing Lives and Building Careers

Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work and to further their professional development. Together, we are In the Network. Interested in learning more?

Take a look at our Culture, Benefits, Early Talent Program, and Additional Openings.

We strongly advocate that our associates receive all CDC recommended vaccinations in prevention of COVID-19.

Visa Sponsorship is not offered for this position.

Veradigm’ policy is to provide equal employment opportunity and affirmative action in all of its employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for North American based positions with Veradigm must be legally authorized to work in the United States. Verification of employment eligibility will be required as a condition of hire. Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce.

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