Lexical Intelligence provides software and services related to understanding and processing scientific information content to assist policy and decision makers.
Kirk is the founder and president of Lexical Intelligence. Prior to Lexical, he was an integral member of two successful health science startups in Maryland. He joined the founding members of The Zerhouni Group as a computational linguist, designing a pharma-based search and visualization tool that formed the basis of that company’s acquisition by i3 Analytics. As VP of Technical Development at i3 Analytics, he guided the development of the prototype into a full-fledged search and analytics platform used by many of the top organizations in the pharma industry.
Kirk received his Ph.D. from Ohio State, specializing in the application of statistical machine learning techniques to problems in natural language processing.
Paula joined Lexical shortly after startup and heads our analytic services division, providing funding agencies and research administrators with the state-of-the-art tools and analyses needed to make informed, data-driven decisions. Paula served as Training Director in the Office of Portfolio Analysis at the National Institutes of Health (NIH), where she implemented and led an innovative training program that continues to assist the scientific community in carrying out effective analyses of the NIH research portfolio. With over a decade of analytical experience, Paula’s expertise spans the fields of biomedical research, science policy, and portfolio analysis.
Paula earned her B.Sc. in Biochemistry from the University of Edinburgh, and her Ph.D. from Newcastle University.
Matt joined Lexical in 2015, bringing with him 14 years of experience as a professional statistician in the Government Statistical Service of the UK. Proficient with a wide range of statistical software, Matt provides our clients with analyses, statistical advice, and training in cutting edge portfolio analysis techniques. Matt has worked in many UK Government Departments and is experienced at presenting analyses in all formats to stakeholders both within and outside of Government. When not analyzing data, Matt spends his time undertaking athletic feats of endurance, regularly participating in triathlons, marathons and ultramarathons around the world.
Payam is Lexical’s chief software engineer, responsible for all aspects of code design, implementation and project management, and displays remarkable deadline sensitivity for each. Payam’s one-of-a-kind skillset covers the gamut from customer service, data analysis, DevOps and back-end data systems to machine learning, web applications and UI design. Payam has extensive experience designing and building data analytics and business intelligence platforms in the life science and pharma domains.
Payam received his BS in Information Systems from the University of Indianapolis and his MS in Computer Science from Johns Hopkins.
Matt is Lexical’s chief software architect with an extensive background in software engineering and specific expertise in natural language processing, information retrieval, and machine learning. Matt brings an unparalleled ability to visualize, articulate and design complex, scalable and robust software systems. A recognized expert in the Java programming language, Matt is also the primary architect of the open-source LuMongo real-time distributed search and storage system.
Matt received his BS in Computer Engineering from the University of Maryland Baltimore County and his MS in Computer Science from Johns Hopkins.
With a background in physics and mathematics, Travis brings substantial experience and expertise in scientific computing, programming, data analysis, algorithms, simulations, research and modeling. Highly proficient in the full scientific Python/C++ stack, database backends, and data visualization, Travis is a programming polyglot and dedicated analyst, as well as a strong proponent for scientific standards and reproducibility. Travis is an active presenter and organizer in both the data community and scientific enterprise and is a firm believer in STEM outreach to public schools from professionals.
Travis received his Ph.D. in physics from Drexel University and a BS in both physics and mathematics from the University of Nevada-Reno.
Aviva is Lexical’s resident science policy analyst and economist, where she focuses on the development of novel techniques for estimating the costs associated with conducting research, linking costs with productivity, and conducting analyses to make research funding more cost effective. Before joining Lexical, Aviva worked as an Assistant Policy Analyst at RAND Corporation while completing her Ph.D. in Policy Analysis at the Pardee RAND Graduate School. Her dissertation used empirical economic methods to examine the relationship between federal research funding and academic productivity.
Aviva earned a prior Ph.D. in Chemistry from Cornell University.
Marina joined Lexical in 2017, bringing expertise in behavioral research to the team. Her work includes developing ways to capture non-traditional outputs of biomedical research. Prior to joining Lexical, Marina spent three years as a Cancer Research Training Award Fellow at the National Cancer Institute, where she collaborated with scientific staff on program evaluation initiatives and developed a data mining interface to enable the rapid processing and coding of large amounts of data for curation and cleaning.
Marina holds an M.P.H. in Behavioral and Community Health from University of Maryland, College Park.
Hao joined Lexical in 2017 with a unique background in biomedical research and computer science. She is a detail-oriented software developer focused on Java web application development and information retrieval. Her solid knowledge in biomedical science helps to improve the user experience and quality of our software designed for customers in the life sciences and pharma industries.
Hao earned her Ph.D. in Cell Biology from the University of Miami and her M.S. in Computer Science from Johns Hopkins.
Katrina brings a well-rounded background in public health, data analysis and health systems to Lexical. She has experience in both quantitative and qualitative data analysis using a variety of research and statistical methods, and her work has been published in open online journals and presented at a number of conferences. She has collaborated with local government to analyze health policy and other governmental programs to reduce risk and improve population health in Prince George’s County.
Katrina completed her B.S. in Biology from Virginia Commonwealth University and M.P.H. in Applied Environmental Health alongside a Certificate in Global Health from the University of Maryland.
Tom is a software developer with a background in quantum physics and computer science. Before joining Lexical, Tom worked as a physicist in the quantum computing research program at NSA Laboratory for Physical Sciences. He has published across multiple disciplines in Nature, Physical Review and more. Proficient in data modeling, simulation, and scientific programing, Tom currently focuses on web application development, data mining, and deep learning, with an emphasis on natural language processing and machine learning.
Tom received his Ph.D. in Physics from the Chinese Academy of Sciences and his M.S. in computer Science from Georgia Institute of Technology.
Esha’s background is in economics. Prior to joining Lexical she worked as Associate Program Officer at the National Academies where she organized a variety of panel studies and workshops. She was involved with studies such as evaluating the commercial motor vehicle safety ranking program of the U.S. Department of Transportation, Improving Measurement of Productivity in Higher Education, and others. Prior to that, she worked for a year as research assistant in the Indian Institute of Management, Ahmedabad.
Esha earned her M.A. in economics from GIPE, India, and her Ph.D in economics from SUNY Binghamton.
Abbey joined Lexical as a Science Writer, Scientific Curator, and Analyst. Her previous work as a postdoctoral fellow in NCI focused on molecular chaperones and their participation in oncogenesis. During that time, Abbey held an Associate Editor position within the NIH Fellows Editorial Board, was the National Postdoctoral Association (NPA) Liaison for the Center for Cancer Research Fellows and Young Investigators (CCR-FYI) group, and a frequent writer for the CCR-FYI Newsletter. Outside of work, Abbey enjoys skiing and snowboarding with her young family.
Abbey holds a Ph.D. from the University of Idaho and a BS from Michigan State University.
Chikako joined Lexical in 2018 with an extensive research background. Her scientific work includes designing and conducting experiments for great apes and collecting and analyzing large sets of data. Prior to joining Lexical, she worked as a postdoctoral research fellow at the Smithsonian’s National Zoo and the Max Planck Institute for Evolutionary Anthropology in Germany. Her studies focused on cognitive abilities of orangutans and gorillas and the results have been published in peer-reviewed journals.
She earned her Ph.D. in Psychology from the University of Leipzig and her M.Sc. in Evolutionary Psychology from the University of Liverpool.
Heather joined Lexical in 2018 with extensive basic research experience in cell biology, microbiology, and infectious diseases. Previously Heather was a postdoctoral research fellow at Massachusetts General Hospital and Harvard Medical School, where she studied the molecular mechanisms of bacterial pathogenesis. She is excited to use her experience in research and funding mechanisms to serve a broader role in supporting research in the life sciences.
Heather holds a Ph.D. in Biochemistry and Molecular Biology from the University of California, San Francisco, and a B.S. in Molecular Biology from the University of California, San Diego.
With a background that bridges the gap between computer science and biology, Brad brings extensive experience in scientific computing, image analysis and algorithm development. He is proficient in a number of development environments but prefers Python for its deep learning and scientific processing libraries. Prior to joining Lexical, Brad was a Postdoctoral Fellow in the National Institute for Child Health and Human Development, where he was responsible for tasks ranging from application development to machine learning.
Brad received his PhD in Biophysics from Stanford University and his BS in Computer Engineering from Texas A&M University.
Gabriel joined Lexical in 2019 with a background in web application development, including back-end systems and UI design. Prior to joining lexical, he spent his time building complex systems leveraging the most current frameworks. Gabriel enjoys working on data mining operations as well as deriving meaningful conclusions from big data analysis, and is constantly looking for ways to collect quality data and create new and innovative applications. Outside of work, Gabriel competes in local Billiard leagues and tournaments.
Gabriel earned his BS in Computer Science from Columbia University.
Lucas brings his experience in web development, super-computing, and scientific computing to his role as a software developer at Lexical. Before joining Lexical Intelligence in 2019, Lucas used his programming skills to create systems models at Johns Hopkins School of Public Health where he published his work in contributing to a model that simulates the impact of infant solid food feeding guides on BMI.
Lucas Received his B.S. in Computer Science from Johns Hopkins University.
Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our NLP and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are always looking for outstanding analysts and developers to join our team: firstname.lastname@example.org.
We are looking for a data scientist to work at the National Institutes of Health in Bethesda, MD. The data scientist will have experience in NLP and applying statistical methods and techniques, including statistical significance and hypothesis testing, analysis of patents, and publications utilizing advanced statistical modeling techniques including machine learning, standard linear models, or random forests. The data scientist will have a firm understanding of the nuances involved in unbalanced training sets, test/train/validation splits, gold standards, significance testing, and hyperparameter optimization. The data scientist shall be able to work well within a team of analysts, data scientists, and software developers. Applicants selected will be subject to a pre-employment background and reference check.
For all positions we offer a competitive salary and a generous benefits package, including: full health and dental for you and your dependents (choice of CareFirst Platinum POS, Gold or Silver PPO plans), retirement account, short and long term disability insurance, life and accident insurance, paid time off, and 10 federal holidays.
To ensure that we consider your application, craft a concise resume that succinctly describes your primary skills and relevant expertise and send to email@example.com.
Lexical Intelligence provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.