Job summary
Job post source
This job is directly from Veradigm
Job overview
The Data Scientist – NLP & Real World Evidence role at Veradigm focuses on leveraging NLP and machine learning to extract insights from clinical data, supporting real-world evidence studies and improving healthcare outcomes.
Responsibilities and impact
The role involves designing and deploying NLP and ML models, collaborating with clinical experts for model validation, working with operations to productionize data science pipelines, and communicating insights to stakeholders.
Compensation and benefits
Veradigm offers a comprehensive compensation and benefits package including holidays, vacation, medical, dental, vision insurance, company-paid life insurance, and retirement savings.
Experience and skills
Candidates need a Master's in Data Science or related fields, proficiency in Python and SQL, and experience with ML and NLP; preferred skills include Azure OpenAI, EMR systems, healthcare data standards, and cloud/big data tools.
Career development
Veradigm supports professional development with tools and flexibility, promoting growth through collaboration and learning opportunities within a dynamic healthcare-focused environment.
Work environment and culture
Veradigm values diversity, inclusion, and equal opportunity, fostering a collaborative and supportive workplace culture with a focus on healthcare innovation and associate empowerment.
Company information
Veradigm is a healthcare technology company focused on data-driven solutions for biopharma, health plans, providers, and patients, leveraging AI and real-world data to transform healthcare.
Team overview
The candidate will join the Life Sciences Data Science team working cross-functionally with clinicians, product, and operations teams to deliver high-accuracy data science solutions.
Job location and travel
This is a remote position with occasional travel up to 1-2 times per year.
Application process
Applicants must apply through Veradigm's official corporate site and be legally authorized to work in the US or Canada; no visa sponsorship is offered.
Unique job features
The role uniquely integrates advanced NLP techniques with clinical collaboration and real-world evidence generation, using cutting-edge AI technologies like Azure OpenAI in healthcare data contexts.
Company overview
Veradigm® is a healthcare technology company focused on providing innovative solutions to improve patient care and streamline clinical workflows. They generate revenue by offering a suite of software products and services, including electronic health records (EHR), practice management tools, and data analytics platforms to healthcare providers, payers, and life sciences companies. Originally part of Allscripts, Veradigm® was rebranded to better align with its mission of transforming health through actionable insights and integrated technology solutions. Their history of leveraging data to enhance clinical outcomes and operational efficiency is crucial for candidates to understand.
How to land this job
Position your resume to highlight your expertise in NLP and machine learning, especially your experience with Python-based ML/NLP libraries such as spaCy and Scikit-learn, as this aligns closely with the job requirements at Veradigm®.
Emphasize your familiarity with large language models like Azure OpenAI, your ability to collaborate cross-functionally with clinical and operational teams, and your experience working with unstructured clinical data to support Real World Evidence studies.
Apply through multiple channels including Veradigm®'s official corporate career site and LinkedIn to maximize your application visibility and ensure your resume reaches the right recruiters.
Connect with current employees in Veradigm®'s Life Sciences Data Science division on LinkedIn; when reaching out, use ice breakers like commenting on recent Veradigm® innovations in healthcare AI or expressing interest in their work transforming clinical data into actionable insights.
Optimize your resume for ATS by incorporating keywords such as 'NLP,' 'machine learning,' 'Python,' 'Azure OpenAI,' 'clinical data,' 'Real World Evidence,' and 'healthcare data privacy' to ensure it passes initial screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate applying through multiple platforms, tailor your resume to the job description, and identify relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking effectively.
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