WellDoc, Inc.

Data Science Analyst

Job Locations US-MD-Columbia
# of Openings
Information Technology



An Opportunity to Pioneer Innovation in Chronic Care Management

If you’ve ever wished you had a job that could make a difference in someone’s life, this is your chance to support a new approach to chronic care management.  Welldoc is pushing the industry forward – helping health plans, health systems and employers move beyond traditional health coaching and consumer mobile apps. As a pioneer in digital therapeutics, we’re helping to simplify people’s healthcare experience, drive improved self-care and support consumer empowerment.

Welldoc has two randomized clinical trials and 40+ peer-reviewed studies that clearly demonstrate the clinical impact of our solution.  Welldoc was the first to receive FDA clearance for a diabetes software solution (Class II Medical Device) and continues to drive market innovation across conditions.  In an extremely crowded space, we offer differentiated approaches while ensuring value for our clients through performance-based payments.

Join a winner!  In 2019, Welldoc’s precision, real-time feedback solution was recognized as Best Personal Health App (MedTech Breakthrough Awards) and Best Established App (Digital Diabetes Congress).  If you are passionate about driving the health care industry forward to better improve the lives of patients, members and employees, let’s talk!  


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. Digital therapeutics and BlueStar allow, for the first time, extension of the data available in most healthcare systems today by adding both patient-reported data as well as high-frequency data, neither of which are collected today because the daily, patient-facing collection mechanisms simply do not exist.  This enhanced-scale data collection and analysis becomes the basis of data-driven design for our product, and data-driven delivery for our customers.  The complexity, challenge, opportunity and most importantly, impact of your insights would be difficult to match elsewhere. 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 models that answer those questions, providing feedback to data engineers, product managers as well as external stakeholders.  Your analysis will be the fulcrum of a new generation of value delivery that is driven by data, information, knowledge and action that can be interpreted and consumed by the patients and providers who need you. The responsibilited for this role will include but not be limited to the following:


  • As part of a project team, contribute to solving business problems by framing the problems, determining intended approach and statistical/quantitative methods, evaluating the analytical solutions to the problems, and deploying them to production
  • Evaluate and deploy data analysis techniques in four key domains:  1) informative and reporting, including visualization; 2) discovery, including correlative and pattern recognition modeling techniques; 3) extrapolative, including predictive modeling techniques, and 4) adaptive, including machine learning, natural language processing and adaptive modeling techniques
  • Build scalable and high-performance engines that automate the above four classes of analysis where possible
  • Rapidly test hypotheses by developing prototypes, running off-line experiments, and on-line statistical models and tests
  • 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. Develops materials to explain project findings. Explain findings to internal and external business audiences
  • Support and lead the development of analytical papers that can be submitted to clinical and scientific journals, and presented at a variety of conferences and round table discussions



  • Bachelor’s degree in Computer Science, Statistics or Mathematics is required
  • Master’s degree preferred with emphasis on informatics, data science and machine learning techniques
  • Ability to work as part of a high-power team under close supervision
  • 3 - 5 years of experience in data science, predictive modeling, recommendations/personalization, working with big data using tools such as Hadoop, MongoDB, Spark, Cassandra, Splunk
  • Programming experience in Java, scripting tools such as Perl or Python, Hive, Pig
  • Experience with tools such as Microsoft BI, R, Tableau, Weka, SPSS, or SAS


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