AI Data Analytics Engineer 1

Posted:
10/24/2024, 3:58:48 AM

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Workplace Type:
Hybrid

We are united in our mission to make a positive impact on healthcare. Join Us! 

  • South Florida Business Journal, Best Places to Work 2024
  • Inc. 5000 Fastest-Growing Private Companies in America 2024
  • 2024 Black Book Awards, ranked #1 EHR in 11 Specialties
  • 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold)
  • 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara)

Who we are:

We Are Modernizing Medicine (WAMM)! We’re a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US.


 

ModMed is hiring a driven Data Analytics  Engineer to join our to join our positive, passionate, and high-performing AI team focused on integrating AI solutions into healthcare. This is an exciting opportunity to help us develop synthetic conversations vital for training our AI models within a fast-paced Healthcare IT company that is truly Modernizing Medicine!

Your Role:

  • Collaborate closely with our on-staff physicians to understand requirements and translate medical expertise into synthetic conversation scripts.
  • Write and optimize Python code to generate synthetic conversations based on JSON data.
  • Engineer and refine prompts to enhance the accuracy and relevance of synthetic conversations.
  • Analyze large datasets to extract insights that will improve AI model performance and the quality of synthetic conversations.
  • Develop data analytics solutions to interpret and visualize data trends within synthetic conversations and medical datasets.
  • Familiarize yourself with JSON, YAML, and other data annotation languages to manage and manipulate data efficiently.
  • Coordinate in real-time with doctors to tailor synthetic conversations across our ten specialties, optimizing the AI's outputs.
  • Add new data fields to the JSON continuously to improve the datasets and ensure they can be effectively utilized in prompts.
  • Participate in regular team meetings and contribute ideas to improve the project's workflow and outcomes.
  • Python Programming: Write robust and efficient code to generate synthetic conversations, ensuring the Python scripts are scalable and maintainableData Analytics: Utilize statistical methods and data visualization tools to analyze datasets, providing actionable insights to enhance AI models.
  • Data Management: Maintain and manipulate JSON and YAML files, ensuring data integrity and accuracy.
  • Collaboration: Actively engage with physicians and other stakeholders to refine synthetic conversation prompts for specialty-specific needs.
  • Field Integration: Add and manage new data fields within JSON schemas as necessary to support evolving project requirements.
  • Real-Time Coordination: Provide immediate support and adjustments in collaboration with medical professionals to optimize the project in real time.

Skills & Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong belief in the criticality of high-quality data and highly motivated to work with the associated challenges.
  • Experience with or a demonstrated ability to quickly learn Python programming.
  • Proficiency in JSON, YAML, and other data annotation languages.
  • Experience in data analytics, including proficiency with tools such as Pandas, NumPy, and data visualization libraries like Matplotlib or Seaborn.
  • Strong knowledge of statistical analysis and the ability to interpret complex datasets.
  • Experience with SQL and NoSQL databases is a plus.
  • Excellent communication skills to effectively collaborate with medical professionals and other team members.
  • Strong problem-solving skills and the ability to work in a fast-paced, interdisciplinary environment.
  • Experience with AI/ML projects, Spark, and Databricks is a plus.

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, including:

  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k):  ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

Modernizing Medicine

Website: https://www.modmed.com/

Headquarter Location: Boca Raton, Florida, United States

Employee Count: 1001-5000

Year Founded: 2010

IPO Status: Private

Last Funding Type: Venture - Series Unknown

Industries: Electronic Health Record (EHR) ⋅ Health Care ⋅ Software