Informatics Senior Data Scientist

Paradigm 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.

Role Summary:

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.

What You'll Do:

• Work cross-functionally to perform source-to-target mappings between incoming data (ex. EHR) and our data model
• Help develop scalable models to automate mapping source-to-target 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
• Perform quality control checks and become proficient in querying data stored in our regulatory-grade platform
• Provide critical input into the design of data architectures, algorithms, and analysis workflows

Who You Are:

• Strong expertise in bioinformatics, clinical data science, or a related field.
• Experience with biomarker and/or genomic ontologies or terminologies
• Familiarity with healthcare ontologies or terminologies (ICD, SNOMED, LOINC, et al)
• Experience with evaluating and ensuring data quality (e.g., completeness, accuracy)
• Possess a collaborative mindset, an eagerness to learn, and a high integrity work ethic

Preferred Skills:

• Experience with oncology research or clinical genomic applications
• Experience with data science tools, programming languages (e.g., Python, R, SQL)

The base compensation range is $145,000 - $170,000.00 USD per year. Actual salaries will vary based on candidates' qualifications, skills, and location.

What You'll Receive:

Paradigm Health offers a comprehensive Total Rewards package to support your well-being and success, including:

• Competitive health, dental, and vision insurance
• Mental health support for you and your family through Spring Health
• Equity package
• Unlimited paid time off (PTO)
• 16 weeks of paid parental leave
• Flexible work options - remote and hybrid arrangements
• Company-paid life insurance
• Company-paid short-term and long-term disability coverage
• One Medical membership
• 401(k) plan with company match

At Paradigm, 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.