Job description

**Join the Team Modernizing Medicine** At **ModMed** , we’re not just building software—we’re reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: **we hired doctors and taught them how to code.** This "for doctors, by doctors" philosophy has allowed us to create an AI\-enabled, specialty\-specific cloud platform that places patients at the center of care. **A Culture of Excellence** When You Join ModMed, You’re Joining An Award\-winning Team Recognized For Innovation And Employee Satisfaction. From Our Global Headquarters In Boca Raton Florida, And Extensive Employee Base In Hyderabad India, We Are a Team Of 4,500\+ Passionate Problem\-solvers On a Mission To Increase Medical Practice Success And Improve Patient Outcomes * Consistently ranked as a Top Place to Work * 2025 Globee Business Awards: Gold Globee for “Technology Team of the Year” * 2025 Black Book Awards: Ranked \#1 EHR in 11 Specialties * Florida Venture Forum: Venture\-Backed Company of the Year We are growing fast, thinking big, and we are just getting started. **Ready to modernize medicine with us?** **Job Description Summary** **Our Mission \& Vision** At ModMed, we place doctors and patients at the center of care through an intelligent, specialty\-specific cloud platform. We envision a world where the software we build increases medical\-practice success and improves patient outcomes. We don’t just report on data; we transform it into intelligence. By **aligning passion with purpose** , you will help us build the next generation of AI\-driven tools that **save time** for doctors and improve lives. **The Opportunity: Where Data Becomes Intelligence** We are looking for a highly motivated **Data Analyst 2** who thrives at the intersection of data analytics and Generative AI. This is not a traditional "reporting" role—it is a hands\-on technical position where you will work with LLMs, build ML models in Databricks, and manage the end\-to\-end lifecycle of intelligent features. At ModMed, we **innovate boldly** , and in this role, you will be the one ensuring our models are grounded in high\-quality data. If you love the challenge of making LLMs more accurate and **creating customer delight** through data\-driven insights, you belong here. **How You’ll Make An Impact** * Unlock Insights: Analyze large\-scale structured and unstructured datasets using Python and PySpark to find the "signal in the noise." * Build \& Deploy: Develop, evaluate, and deploy machine learning models within our Databricks environment to solve real\-world clinical problems. * Harness GenAI: Work directly with LLM workflows for classification, summarization, and information extraction—helping doctors spend less time on paperwork and more time with patients. * Operationalize Excellence: Set up and maintain MLOps pipelines to ensure our models are versioned, tested, and performing at their peak. * Ensure Quality: Lead data annotation and labeling workflows; you understand that great AI starts with great data. * Collaborate \& Storytell: Partner with Data Scientists and Product Managers to turn complex data into compelling solutions and make things happen. * Test \& Optimize: Conduct A/B testing and performance tracking to ensure our AI features are truly moving the needle for our users. **The Essentials** **What You Bring to the Team** * Experience: 3–5 years of relevant work experience in data analysis or ML\-centric roles. * The Stack: Strong proficiency in Python (scikit\-learn, pandas) and PySpark for distributed data processing. * Databricks Savvy: Hands\-on experience with Databricks Workspaces and MLflow. * GenAI Knowledge: Experience with LLM frameworks (OpenAI, Hugging Face) and a passion for Generative AI. * MLOps Mindset: A solid understanding of model packaging, version control, and CI/CD for machine learning. * Precision: Experience with annotation and labeling tools (e.g., Label Studio, Prodigy) and a commitment to data quality. * Education: Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. **Bonus Points** * Proficiency in SQL and cloud data warehouses like Snowflake. * Skill in prompt engineering or fine\-tuning LLMs for specific domains. * Experience with BI tools like Power BI or Tableau to visualize the impact of your models. * A background in Healthcare AI or clinical data. ***ModMed Benefits Highlight:*** At ModMed, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: * Meals \& Snacks: Enjoy complimentary office lunches \& dinners on select days and healthy snacks delivered to your desk, * Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, * Allowances: Annual wellness allowance to support your well\-being and productivity, * Earned, casual, and sick leaves to maintain a healthy work\-life balance, * Bereavement leave for difficult times and extended medical leave options, * Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, * Celebration leave to make your special day even more memorable, and company\-paid holidays to recharge and unwind. **PHISHING SCAM WARNING:** ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders’ email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.