How can a nutrition, biochemistry, and informatics professional who’s fascinated by robotics and data science find a job that fits her goals? Ask Natalie Reierson, Director of Research at Nested Knowledge, who is passionate about making data more accessible to the medical community. Researchers at Nested Knowledge have developed a software technology that accumulates a set of consistently updated medical literature reviews on different topics and designs the information into intuitive, easily viewable visuals with both granular details and big picture data. “We aid medical professionals and their patients easily communicate outcomes, strategies and other demographics across diseases— making all of that information more accessible — without them doing the literature search,” she says.
Reierson’s role at Nested Knowledge, however, is less about the technicalities of data. Instead, she designs and implements systems that ensure that the data is properly captured and that the analytics are done, and the handoff between the data team and the tech team is seamless. “We spend a long-time doing checks and balances on the data,” she says. Reierson’s time as a technical writer at Superior Medical Experts, a sister company of Nested Knowledge, has given her some unique insights. “Let’s say you have to work N hours to do a literature search. If you can cut that down by half, the entire cost of our business then decreases,” she explains. Reierson therefore handles a lot of the analytics about the data gathering process itself. Her favorite project involves analyzing the differences in output when two humans collect data, both in terms of results and time, so that researchers know how best to automate the process. “Ideally, within six months or a year from now, one of those datasets will be a computer and the other one will be a human. And I look forward to it. I’m curious to see how much better our system is,” she states.
Nested Knowledge now envisions building larger applications beyond their current focus on neurology to other diseases such as cardiovascular disorders and breast cancer. Reierson foresees making newer data models for chronic diseases to include the triage of treatments in addition to the pharmaceutical and genetic aspects. She states that people who excel at Nested Knowledge are independent and self-driven with a deep curiosity for learning. The last aspect, she says, makes the biggest impact in a startup that aims to redefine how people learn about new research. She enjoys collaborating with the biomedical community — physicians, scientists and device executives — to pool their combined brainpower into their product. “We love input. We love people coming with ideas and telling us what they want to see. What they say will directly impact how we grow our company and product,” she says. “We are always looking for conversations. A big part of what we do here is learning.”