
Paradigm Health · Remote, United States, US · 10 days ago
Paradigm Health is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Our team hails from a broad range of disciplines and is committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.
Please Note: We are posting this position in anticipation of a hiring need later this year; as such we are NOT in an active recruiting cycle for it, but starting the process of advertising the role to attract talent and applications for those who are interested in future opportunities like this at Paradigm Health.
We are seeking a skilled and detail-oriented Information/Data Scientist to join our team. The ideal candidate will have a strong background in biomarker and clinical data pipelines, data analysis, and data profiling, with proven expertise in managing and analyzing biological and genomic data. In this role, you will play a critical part in designing, building, and executing terminology libraries, ensuring end-to-end data integrity across our products. You will help organize and represent clinical knowledge within our content management platform, supporting knowledge bases built from or aligned with industry-standard controlled vocabularies, value sets, and ontologies.
At Paradigm Health, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.
Headquarters
Remote, United States
Work Location
remote
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
Full Time
Experience Level
senior-level
Application Method
Apply via Website
Salary
Not specified
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