Join Us On Our Mission To Connect The World’s Health Data And Improve Patient Outcomes

Day 1 project: I was tasked with implementing our rollout strategy for the National COVID Cohort Collaborative (N3C), an open-science research collaborative Datavant helps power through our privacy-preserving record linkage (PPRL) technology. The approach had to be easily scalable since over 70 health systems across the country contribute to N3C to advance COVID research. This was a great opportunity to partner closely with our NIH colleagues, who were highly collaborative throughout.

Impact: I created a collection of training, demo, and implementation materials specific to N3C to onboard health systems in minutes with minimal questions. I conceptualized and designed a central website that served as the “hub” for all these materials to ensure an implementing health system had everything they needed in one place to get started. This was a creative risk that paid off and we’ve since adopted a similar approach for other projects.

What I learned: Diving straight into high-importance customer projects so early in my tenure was a tremendously valuable learning experience and a true testament to our core value of “more responsibility, fewer rules.”

Day 1 project: Starting on my first day I was tasked with brainstorming and executing a noteworthy event to pair with our annual Future of Health Data summit.

Impact: I developed a plan to host an external hackathon focused on solving today’s biggest challenges in healthcare (e.g., reproductive privacy, opioid crisis, health equity) with the winning teams attending the summit to present their solutions! I had the opportunity to fully own the contest rules, prizes, judge and sponsor outreach, and execution of the event.

What I learned: The opportunity to fully own a project end to end has been a remarkable experience. My thoughts and ideas are valued here, making it an amazing place to learn and grow.

Day 1 project: In my first 30 days at Datavant, I was tasked with developing a strategy on how we could expand our use-cases to pharmaceutical companies. I spoke with many different pharma companies about their needs and how they leveraged Real World Data (RWD) to support their commercial and R&D initiatives.

Impact: I used the insights from my research to refine our position and land on a value proposition that resonated with pharmaceutical companies: tokenizing and de-identifying pharma’s patient-level data – such as Specialty Pharmacy feeds, Patient registries, and Trials – and linking this data to the RWD ecosystem to improve patient outcomes.

What I learned: From this high-impact Day 1 project, I learned that Datavant is the type of company that rewards those who take risks, learn from mistakes, and iterate.

Day 1 project: Starting on day 1, I was developing different features and resolving bugs to become familiar with the Datavant codebase. One of the specific tasks involved interacting with the Machine Learning models we use to score whether patient records match or not. This task helped me understand the use of models so that I could later come up with a design for moving our in-process Java models to a Python service. Before this migration data scientists would develop models in Python and an engineer had to spend days or weeks to translate them to Java.

Impact: With the design I implemented, data scientists will be able to upload their models as soon as they’re ready and they should be available to be used in production immediately.

What I learned: Faster iterations mean faster development to get Match to be the best privacy preserving record linkages (PPRL) product out there!

Day 1 project: On my Day 1, I was given ownership in the implementation of an HRIS (Human Resources Information System) that would become the source of truth for the entire Product and Go-to-Market Division when it comes to people data.

Impact: Within 60 days of starting at Datavant, I was rolling out the platform to the organization and educating the team on how to use the system. Given an incredible amount of autonomy, I was the decision-maker throughout the entire process, and this allowed me to become the expert.

What I learned: Importantly, this Day 1 experience gave me the confidence to own future projects as they arose. In terms of both growth and career development, my experience with Datavant has been incredibly rewarding.

Day 1 project: There was no existing standard process for addressing Marketing Qualified Leads (MQLs) on the Ecosystem Partnerships team. On my first day at Datavant, I was given the opportunity to build this out to better support the partnerships team.

Impact: I built out a system to qualify leads based on the company they were with, their title, and their use case. I then routed them to each sales rep on a rotating basis. Having a set process for qualifying MQLs allowed me to address them faster and increase the MQL to meeting rate. This has helped build our top of funnel and has resulted in several proposals and potential deals won for the rest of this year.

What I learned: Owning a project from my first day at Datavant was a great way to learn the tools and skills necessary for my position. I’m looking forward to continuing the process and finding ways to improve it for newer Datavanters who join the team in the future!

Day 1 project: Starting my first day, I was tasked with taking over the product management of an internal-facing tool aimed at connecting to more health systems seamlessly.

Impact: The product had been in discussions for a few months, but I was tasked with scoping an impactful but streamlined first version, that would give our product success leads a more efficient way to onboard new customers quickly. Over the next weeks I worked with our service designer, outgoing product manager, engineers, and users to scope V1 and also sketch out subsequent versions and a related Quality Control tool.

What I learned: This process empowered me to use my existing domain expertise to make high-integrity commitments while setting ambitious product goals.

Day 1 project: On my first day at Datavant, I was asked to put together a target account list. I spent many hours researching the market and working to map out the areas where we could drive the most value for customers. The list ended up driving a strategic debate within the company about where we were focusing, and who could get the most value from Datavant’s tokenization technology.

Impact: What I loved about the exercise is that we obsessed over making the list shorter rather than longer, defining clearly where we had product-market fit in the early days and how that would set us up to scale over time. Four years later, almost every company on that initial list is a Datavant customer.

What I learned: from the exercise is that being able to influence company strategy starts with rolling up your sleeves and doing the work.