Clinical Informatics Analyst

GeneDx•New York City, NY

5h•$145,000 - $155,000•Remote

About The Position

At GeneDx, we are advancing precision medicine by harnessing the power of genomics and data science. As the Clinical Informatics Lead, you’ll play a key role in advancing Infinity TM , the largest rare disease dataset. You will lead the data science and analytics efforts that underpin our real-world data (RWD) and real-world evidence (RWE) product offerings. You will work closely with product leads and commercial, medical affairs, R&D, research, and engineering stakeholders to deeply understand our clinical and genomic data, helping to shape how data is structured, analyzed, and delivered to external partners such as biopharma, payers, and researchers. Your expertise will be critical in defining registry data models, supporting the development of high-quality data products, and ensuring that our analytic outputs are robust, actionable, and aligned with both internal and external stakeholder needs. This is an ideal role for someone who thrives at the intersection of EHR/genomic data expertise, hands-on analytics, and collaborative problem solving.

Requirements

5+ years of progressive experience in clinical informatics, healthcare data analysis, or real-world data (RWD) analytics, with a proven track record of leading complex analytics projects or initiatives.
Demonstrated expertise in wrangling, analyzing, and interpreting large-scale EHR, clinical, or genomic datasets using SQL, R, and Python.
Experience designing and implementing data models, target schemas, and analytic workflows for large relational databases with millions of patient records.
Proven ability to translate business and clinical requirements into actionable analytic solutions and data product specifications.
Strong knowledge of clinical terminologies (ICD, SNOMED, LOINC, RxNorm, NDC) and healthcare data standards (HL7, FHIR), with experience ensuring interoperability and regulatory compliance (e.g., HIPAA, GDPR).
Experience building and delivering dashboards, benchmarks, or metrics that drive measurable improvement in health system operations, quality outcomes, or population health.
Demonstrated leadership in cross-functional teams, including mentoring or coaching junior analysts and collaborating with product, engineering, clinical, and business stakeholders.
Excellent communication skills, with the ability to present complex analytic findings and recommendations to both technical and non-technical audiences, including clinicians, executives, and external partners.
Proficiency in data visualization tools and advanced analytics techniques, with a passion for leveraging data to drive healthcare innovation.
Advanced degree (MS, PhD, or equivalent experience) in Clinical Informatics, Data Analysis, Epidemiology, Public Health, Bioinformatics, Computer Science, Health Information Management, or a related field.

Nice To Haves

Experience working in startup or rapidly evolving data programs is a plus.

Responsibilities

Collaborate with product leads and cross-functional teams to understand business and partner requirements and translate them into analytic and data product specifications.
Lead the data science and analytics work to shape, structure, and define target schemas for large-scale clinical and genomic datasets, supporting the development of RWD/RWE assets and data products.
Develop high-quality analytic outputs (studies, dashboards, benchmarks) that demonstrate GeneDx’s unique value and inspire partners to apply insights to address high-priority healthcare challenges.
Wrangle, clean, and analyze large-scale healthcare datasets using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines.
Build reproducible queries and workflows to support data product development, cohort building, and analytic deliverables.
Validate data quality, investigate data issues, and provide feedback to inform product development and data engineering efforts.
Apply knowledge of clinical terminologies (ICD, SNOMED, LOINC, RxNorm, NDC) and data standards (HL7, FHIR) to ensure data products are interoperable and meet industry requirements.
Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic outputs that showcase GeneDx’s differentiated capabilities.
Use AI and advanced analytics thoughtfully to accelerate insight generation, test hypotheses, and support data-driven decision-making.
Clearly communicate complex findings, data product capabilities, and recommendations to both technical and non-technical audiences.
Mentor and support junior analysts, fostering their professional growth and development.
Stay current with industry trends, regulatory requirements, and advancements in clinical informatics, genomics, and digital health.