Company & Culture

Welldoc®, a digital health leader revolutionizing cardiometabolic care, is integrating personalized, real-time and actionable insights into the daily lives of individuals living with cardiometabolic conditions, enabling improved health and outcomes. Welldoc’s comprehensive digital health platform provides AI-powered digital coaching across pre-diabetes, diabetes, hypertension, heart failure and weight and obesity management, with integrated mental wellbeing and sleep support. Welldoc’s flagship product, BlueStar®, is an FDA-cleared digital health solution that guides individuals through the complicated journey of living with diabetes by enabling them to self-manage their care while enhancing connections to their healthcare team. These capabilities are now integrated into the Welldoc platform, providing comprehensive and flexible support across conditions. Welldoc partners with health plans, health systems and employers with the goal of extending care, improving health and reducing costs. The company has achieved 11 510(k) clearances for diabetes functionality within its digital health platform, and an IP portfolio of 40 patents for its advanced AI and first-in-class tech. With over 75 clinical publications, Welldoc has also built an extensive library of clinical research, including many publications focused on the value of combining CGM with AI-powered digital health solutions. Welldoc is a thought leader in the evolving world of AI powered digital health and has been showcased in prestigious conferences and publications, including South by Southwest, Wall Street Journal and the Economist. Welldoc has been named the “Best Overall Digital Health Company” by MedTech Breakthrough. The company recently received the 2024 Innovation Award and was a finalist for the AI Excellence Award from Business Intelligence Group.

For more information, visit https://welldoc.com/. Follow us on LinkedIn and Twitter.

At Welldoc, we are focused on transforming healthcare by creating an environment that fosters collaboration, learning, and innovation. We value the personalities and experiences of every one of our team members, giving everyone the opportunity to thrive as we make our mission a reality. Welldoc has been certified as a Great Place to Work for the last 3 years. If you are inspired by innovation and the power of cutting-edge science to help individuals live healthier lives, we would love to hear from you!

*Welldoc® Diabetes and Welldoc Diabetes Rx is an FDA-cleared medical device, intended for use by healthcare providers and their adult patients with type 1 or type 2 diabetes. For full labeling information, visit www.welldoc.com. The other Welldoc App products are non-FDA-cleared and intended to promote general wellness and education/self-management of various chronic disease states.

Job Purpose

Working closely with our sales, marketing, client success, product, and engineering teams, you’ll dive into a powerful data set to help us structure analysis and develop insights that will help to answer important questions that affect millions of patients in today’s health care system. You’ll also design, implement, and maintain highly scalable big data pipelines, to support internal and external client partners data delivery requirements. Your role will be to conduct different kinds of analysis- informative, correlative or discovery, extrapolative or predictive and adaptive, to address the questions that could be asked of a patient’s healthcare data. You will do this by working with data tools and structuring efficient queries to build highly scalable data pipelines and models that answer those questions, providing feedback to data analysts, product managers as well as external stakeholders.

This position is open as contract to hire or direct hire.

Responsibilities

• Develop automated pipelines, streaming and batched, for a variety of data types and datasets.
• Design and implement the data architectures to support the data pipelines.
• Develop and maintain ETL processes and data pipelines using languages and tools like Databricks, SQL, Python, Apache Airflow, Apache Spark or other data integration platforms, as well as Powershell scripting.
• Document data engineering processes, workflows, and data lineage to facilitate collaboration and knowledge sharing.
• Work closely with data scientists, analysts, and other external stakeholders to understand their data requirements and ensure data availability

• Build and maintain custom data pipelines to support ad-hoc data requests from internal and external stakeholders
• Ingest and integrate data from various sources into Databricks, which may include databases, streaming data, data lakes, and external APIs.
• Create and manage data lakes in Databricks, often using technologies like Delta Lake to ensure data consistency and reliability.
• Monitor and optimize the performance of Databricks workloads and clusters to ensure efficient data processing.
• Integrate Databricks with other data tools and platforms, such as data warehouses, business intelligence tools, and machine learning frameworks.
• Tune Spark jobs and Databricks clusters for efficient data processing, considering factors like partitioning and caching.
• Implement data security and governance practices in Databricks to protect sensitive data and ensure compliance with regulations.
• Generate actionable insights by applying analytical rigor to multiple types of data including metabolic data, medication data, lifestyle data, symptom data, socio-economic and social determinant data, and in the future, genomic data
• Generate various reports and visualizations to provide insight into the workings of products in different customer and operating environments
• Document projects including business objective, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics. Develop materials to explain project findings. Explain findings to internal and external business audiences

Required Skills & Experience

• At least 3 years of experience in data engineering (additional education beyond the minimum requirement considered as commensurate experience).
• Ability to work independently and collaboratively as part of a high-power team
• Experience modeling, recommendations/personalization, working with big data using tools such as Apache Spark, Databricks, and Azure cloud computing strongly preferred

• Python and SQL programming experience is required
• Experience with tools such as Microsoft BI, R, Tableau preferred
• Excellent analytical and problem-solving skills
• Excellent verbal and written communication skills

Welldoc operates in ISO 13485 and MDSAP regulated and HITRUST and SOC 2 Type II compliant environments. Therefore, it is expected that all employees will have either, prior experience working in those environments or, will be trained to understand the requirements needed to work and support those requirements and culture as they relate to individual roles and responsibilities.

Education 

• Bachelor’s degree in computer science, data analytics engineering, data science or mathematics is required.
• Master’s degree preferred with emphasis on data science, data analytics engineering, and machine learning/AI.

Compensation & Benefits

Welldoc’s total compensation package includes market competitive salary, generous PTO and holiday leave, pre-IPO stock options, medical insurance, dental insurance, vision care, life and disability insurance, retirement program eligibility, and the opportunity to participate in health savings accounts and/or dependent care accounts.

Upon receipt of a conditional offer of employment, you may be required to complete and clear a multi-panel drug screening process. This screening is in connection with requirements set by certain of the Company’s customers, with which you may be working in this role, and will at all times be administered all applicable laws. 

Welldoc is an equal opportunity employer and prohibits discrimination and harassment of any kind. We offer an inclusive workplace and will not tolerate discrimination against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status or parental status.