Are you ready to take on a pivotal data science role at a fast-growing connected health startup? Are you itching to put your talents to work helping patients in a direct and meaningful way? AdhereTech, based in NYC, is now hiring a data scientist to help scale up our company to the next stage of growth.

AdhereTech is the first company to crack open the market for connected pill bottles and other devices in the pharmaceutical market. Our solution helps nudge patients to stay on track with their medication, and keep them connected to a personalized support network. Every day, patients with highly complex medical conditions (such as oncology or immunology) count on our connected bottle and health management solution to help follow their medication regimes and achieve better medical outcomes. Our devices and solutions play an integral role in our patients' lives, literally living with them in their homes, and we take that responsibility seriously! By partnering directly with pharmaceutical companies and specialty pharmacies, we have created the world’s first fully-integrated connected health solution and have changed thousands of lives in the process.

Our data scientist will play an essential role discovering new insights from our data, helping discover and refine KPI, uncover critical insights, and creating data experiences and reports that will help us show our impact to our clients and partners. As an IoT company, our data sets are quite large and represent a remarkable trove of “real world” data waiting to be explored. You will have the rare opportunity to work with a unique form of real world data related to patient behavior and figure out how to drive business and scientific meaning!

AdhereTech is based in NYC with many remote employees. While we would prefer someone in the NYC area, we will consider remote hires as well.

Your responsibilities:

  • Work across our company’s functions (product, engineering, sales, marketing, etc) to identify places where company data can drive better decisions
  • Perform exploratory data analysis to look for insights and patterns that can help confirm product hypotheses or to gather data that can be translated to directly improve our products
  • Join cross functional teams looking for opportunities to create salable data products leveraging our unique platform’s adherence records
  • Manage a suite of reports and data pipelines that allow the company to self-serve data requests (most routine data uses here have already been automated.) Work on progressive improvement and refinements to our self-service tools
  • Help manage a data science roadmap and work queue that provides visibility across the organization as to which initiatives, tasks and requests are prioritized
  • Participate in working team meetings to improve our products and service offerings, bringing a perspective on data
  • Help consolidate and manage our data dictionary, and work with engineering on upgrades and improvements to our data pipeline infrastructure.
  • Work closely with our customers and partner’s statisticians and data scientists to run analysis, communicate results, double check work and provide a guide to our data sets

What we are looking for:

  • Robust data science skills including exploratory data analysis, descriptive analytics, model building, predictive modeling, confidence intervals
  • At least several years of experience with a report generation tool (Tableau preferred)
  • Comfort writing both exploratory and production-level code in Python to automate report and data generation where needed
  • Very strong SQL skills (we are a Postgres shop)
  • Previous career exposure to pharamecual-, health-, medical- or patient-related products and services 
  • Experience with large IoT data sets
  • Comfort working with, and defending analysis to, other statisticians or customers
  • Excellent written and verbal communication skills for coordinating across teams
  • Ability to independently own and drive their own tasks
  • Experience with both ad-hoc reporting, exploration and modeling as well as building automated tools that need to be resilient and quality-checked


Required qualifications:

  • 5+ years in a data science position
  • Bachelor’s or Master’s degree in a data science related field (statistics, machine learning, data engineering, mathematics, etc)


What we offer

  • Option to work remotely
  • Generous health insurance benefits
  • Flexible PTO
  • 12 weeks parental leave

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