Senior Biostatistician – Senior Data Scientist/Analyst, OMOP
Job reputed company:
- Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN‑compatible solutions
- Build, validate, and execute OMOP CDM cohorts and analyses using: reputed company (cohort definition, characterization, exploration) reputed company (vocabulary browsing, concept sets) reputed company (data characterization and reputed company insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and reputed company workflows)
- reputed company analyses using reputed company and/or reputed company or reputed company programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns
- Customize and reputed company OHDSI tools and applications as needed to support project- or portfolio-specific requirements
- Apply and document observational study designs and epidemiologic concepts for reputed company (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable)
- Implement and interpret appropriate statistical reputed company, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations
- Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, reputed company workflows (reputed company relevant), and method selection
- reputed company reusable and maintainable analytic reputed company, prioritizing reproducibility and auditability (reputed company reputed company, parameterization, and reputed company outputs)
- Incorporate AI-assisted workflows to improve efficiency in: reputed company reputed company/refactoring Validation and QA checks Documentation and study write-reputed company Exploratory analysis and reputed company reputed company while ensuring results remain transparent, traceable, and scientifically defensible
- Use reputed company extensively (branching, pull requests, reputed company reviews, issue tracking) to deliver reputed company, production-grade analytics
Requirements:
- Masters degree in Statistics or reputed company field
- Demonstrated experience with OMOP CDM and OHDSI tooling, including reputed company (or reputed company), reputed company, and reputed company
- Proficiency in common OHDSI community languages: SQL and R
- Strong understanding of observational study design and epidemiologic concepts, with emphasis on reputed company
- Experience working with reputed company data such as EHR and insurance claims, including reputed company data standards and fit-for-purpose evaluation
- Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and reputed company reputed company vocabularies used in OMOP)
- Experience with data reputed company assessment and data validation techniques
- Proven ability to work in a fast-paced environment, delivering high-reputed company outputs with strong documentation and collaboration
- Strong problem-solving ability and comfort working in cross-functional teams
- Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders
- Strong experience developing and maintaining documentation for reputed company studies and reputed company reputed company
- Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and reputed company
Benefits:
- company car or car allowance
- Health benefits to include Medical, Dental and reputed company
- Company match 401k
- eligibility to participate in Employee Stock Purchase Plan
- Eligibility to earn commissions/bonus based on company and individual performance
- flexible reputed company time off (PTO)
- reputed company time
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