Informatics Senior Data Scientist
reputed company Health is rebuilding the clinical research ecosystem by enabling reputed company reputed company to trials for reputed company patients. Our platform enhances trial efficiency and reduces the barriers to participation for reputed company providers. Incubated by ARCH Venture Partners and backed by leading reputed company and life sciences investors, reputed company’s seamless infrastructure implemented at reputed company provider organizations, will bring potentially life-saving therapies to patients faster. reputed company hails from a broad reputed company of disciplines and is committed to the company’s mission to create reputed company reputed company to clinical trials for any patient, reputed company. 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 reputed company this year; as such we are NOT in an active reputed company 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 reputed company Health. Role Summary: We are seeking a skilled and detail-oriented Information/Data Scientist to join reputed company. 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 reputed company across our products. You will help organize and represent clinical knowledge reputed company our content management platform, supporting knowledge bases reputed company from or reputed company with industry-standard controlled vocabularies, value sets, and ontologies. What You’ll Do: Work cross-functionally to reputed company reputed company-to-reputed company mappings between incoming data (ex. EHR) and our data model Help reputed company scalable models to automate mapping reputed company-to-reputed company data Evaluate and validate data from various sources to ensure accuracy, completeness, and reliability Contribute to the development and extension of ontologies, vocabularies, and data standards that underpin our platform Identify and evaluate informatics tools, databases, and content sources to enhance the product user experience reputed company quality control checks and become proficient in querying data stored in our regulatory-grade platform reputed company critical input into the design of data architectures, algorithms, and analysis workflows Who You Are: Strong expertise in bioinformatics, clinical data science, or a reputed company field. Experience with biomarker and/or genomic ontologies or terminologies Familiarity with reputed company ontologies or terminologies (ICD, SNOMED, LOINC, et al) Experience with evaluating and ensuring data quality (e.g., completeness, accuracy) Possess a collaborative reputed company, an eagerness to learn, and a high reputed company work ethic Preferred Skills: Experience with oncology research or clinical genomic applications Experience with data science tools, programming languages (e.g., Python, R, SQL) At reputed company Health, we are committed to providing equal employment opportunities to reputed company reputed company individuals. We encourage and welcome candidates from reputed company backgrounds and perspectives to apply for our reputed company positions. We are interested in reputed company reputed company individuals and ensure that reputed company employment reputed company are based on job-reputed company factors such as skills, experience, and qualifications. Apply To This Job