As a result of its reach and rapidly expanding network, TriNetX has become the market leader in protocol design, feasibility, and site selection. Researchers have leveraged the TriNetX network to analyze over 39,000 protocols, presented over 10,000 clinical trial opportunities to its healthcare members, and reduced site identification time in clinical trials by 50%.

Currently, TriNetX healthcare organization members contribute access to a patient population of 400 million, representing over 40 billion clinical observations. TriNetX has a worldwide presence, with our global headquarters located in Cambridge, Massachusetts, and EU offices in Ghent, Belgium; Freiburg, Germany; and Basel, Switzerland - as well as offices in London, Madrid, Melbourne, Sao Paulo, Singapore, Tokyo, and Healdsburg, California. As a result, TriNetX is one of the fastest-growing, privately held companies in the life sciences industry.

What challenges we work on:

TriNetX is the global health research network that optimizes clinical research and enables discoveries through the creation of real-world evidence. TriNetX combines real-time access to longitudinal clinical data with state-of-the-art analytics to answer complex research questions at the speed of thought. Each member of our community shares in the consolidated value of our global, federated health research network that connects clinical researchers to the patient populations which they are attempting to study.

Who we are looking for:

As we continue to grow globally, the Informatics team is looking for a proactive and dynamic candidate with a computer science and AI background and expertise in the health / EHR domain, to join as a senior data expert to continue the success of our multidisciplinary team. In this position, the data expert will work on mappings from clinical notes and catalogs to the TNX reference terminology, research tools improve such mappings and assess the data quality of datasets. RWD data from HCO is required to be harmonized into the TriNetX network.

What you will be doing at TriNetX:

• Apply advanced statistical and AI/ML methods to automate the mapping of clinical concepts to reference standards
• Prototype tools to enable the use of these methods
• Participate in creating and maintaining mappings of clinical concepts to reference terminologies
• Apply advanced AI/ML methods to extract high-value data elements from the text of clinical notes
• Develop definitions of data quality metrics and prototype tools to collect the necessary data to quantify data quality and visualize the results and trends over time
• Collaborate with cross-functional teams to implement scalable data solutions

Skills/Qualifications:

• Master's degree or equivalent in relevant scientific or professional field
• At least 4 years of relevant experience
• Expertise with patient clinical data
• Experience in managing and analyzing large data sets
• Experience with statistical models
• Advanced expertise with AI and LLMs
• Familiarity with clinical terminologies (e.g., ICD, CPT, RxNorm, LOINC, etc.)
• Previous experience with mapping concepts to standard terminology
• Experience with SQL and relational databases
• Familiarity with cloud data platforms (e.g., Snowflake, Databricks)
• Fluency in English

Bonus points:

• Experience with scientific research publications
• Familiarity with data modeling using UML diagrams

Learn more about TriNetX:

To learn more about us, please check out our website, blog, and Careers page - and be sure to follow us on X (Twitter) and LinkedIn. You can also find out more about what it's like to work at TriNetX on The Muse.

Interested in joining our community?

TriNetX is an Equal Opportunity Employer. All persons are considered for employment without regard to their race, color, creed, religion, national origin, ancestry, citizenship status, age, disability or handicap, sex or gender, marital status, sexual orientation, genetic information, gender identity, veteran status, or any other characteristic or status protected by applicable federal, state or local laws.

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Other details

• Pay Type Salary
• Min Hiring Rate $115,000.00
• Max Hiring Rate $135,000.00