GeneDx · 22 hours ago
Clinical Informatics Analyst
United States
Part-time
Onsite
Senior Level
$145K/yr - $155K/yr
5+ years expGeneDx is advancing precision medicine by harnessing the power of genomics and data science. The Clinical Informatics Analyst will lead data science and analytics efforts, working closely with various stakeholders to shape clinical and genomic data for product offerings and ensure high-quality analytic outputs.
AnalyticsArtificial Intelligence (AI)Health CareHealth DiagnosticsMachine LearningMedicalPredictive Analytics
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
Qualification
Required
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
Preferred
Experience working in startup or rapidly evolving data programs is a plus
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
Benefits
Paid Time Off (PTO)
Health, Dental, Vision and Life insurance
401k Retirement Savings Plan
Employee Discounts
Voluntary benefits
Company
GeneDx
GeneDx uses artificial intelligence and machine learning to analyze patient data to provide insights to transform the practice of medicine.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$941MKey Investors
BlackRock Innovation Capital
2023-01-26Post Ipo Equity· $150M
2023-01-10IPO
2022-01-18Post Ipo Equity· $200M
Leadership Team
Katherine Stueland
Chief Executive Officer
Kevin Feeley
Chief Financial Officer
Recent News
Company data provided by crunchbase