Informatics Analyst

Cleerly•Denver, CO

2h•$154,000 - $178,000•Remote

About The Position

We have a current opening for an Informatics Analyst in our Scientific Affairs group. This position reports directly to the Associate Director of Data Management. Cleerly is revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.

Requirements

Possess a working knowledge of statistical principles and analysis considerations taken into account during the planning of research projects.
Strong organizational, analytical, and communication skills.
Minimum of 3 years of directly related experience in the clinical research field.
Bachelor’s degree.
Experience with one or more programming languages (e.g., R, SAS, Python) strongly desired.

Nice To Haves

Prior experience with Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video is a plus.

Responsibilities

Consult on and provide direct technical support for research projects of routine complexity and often requiring solutions not previously utilized by project teams.
Develop and maintain programs to perform analyses and generate both routine and ad hoc reports.
Generate ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts.
Integrate data from multiple sources to produce requested or required data elements.
Summarize and report to internal leadership and external collaborators.
Provide input and feedback to leadership regarding data requirements, data ascertainment, and quality control and assurance for internal use and site use. Detect deficiencies and implement corrective action needed; follow up and completely resolve detected deficiencies.
Liaise with clinical research staff, biostatisticians, Core Lab staff, and investigators at sites to support data transfers, data reconciliation, and analysis dataset generation.
Participate in the development of analysis datasets (working to pull in and clean/harmonize data from disparate sources) and prepare data for extraction and analysis.
Program and maintain report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources.
Engage and collaborate with stakeholders in cross-functional teams (Core Lab, Medical Affairs, Data Science, Engineering) in the development of artifacts defining the workflow and technical specifications in support of complex and/or novel clinical research projects.
Generate data exports from databases via the development and execution of SQL queries.
Specify and develop data characterization programs and corresponding visualizations.
Lead the implementation, migration, and validation of research data systems.
Perform mapping of data structures and values from one dataset into another.
Participate in the design, development, and execution of data QA/QC activities.