Senior Data Scientist/Analyst – OMOP

🕒 Maio 21

🐊 Florida, New York, +1 estados a mais – Remoto

🐊 Florida – Remote 🗽 New York – Remote 🌲 North Carolina – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Syneos Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

🧬 Biotecnologia

💊 Farmacêutico

⚕️ Seguro de Saúde

Biotechnology • Pharmaceuticals • Healthcare Insurance

Syneos Health é uma organização líder, totalmente integrada, de soluções biofarmacêuticas, criada para acelerar o sucesso dos clientes. A empresa transforma insights exclusivos clínicos, de Assuntos Médicos (Medical Affairs) e comerciais em resultados para responder às realidades modernas do mercado. Ao utilizar tecnologias avançadas e insights, a Syneos Health colabora com os clientes para acelerar a entrega de terapias importantes a pacientes no mundo todo, oferecendo serviços que abrangem todo o espectro do clínico ao comercial.

Descrição

• 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: ATLAS (cohort definition, characterization, exploration) ATHENA (vocabulary browsing, concept sets) ACHILLES (data characterization and quality insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows) • Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns • Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements • Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable) • Implement and interpret appropriate statistical methods, 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, prediction workflows (when relevant), and method selection • Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs) • Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in: Code generation/refactoring Validation and QA checks Documentation and study write-ups Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible • Use GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics

🎯 Requisitos

• Masters degree in Statistics or related field • Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES • Proficiency in common OHDSI community languages: SQL and R • Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE • Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation • Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP) • Experience with data quality assessment and data validation techniques • Proven ability to work in a fast-paced environment, delivering high-quality 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 RWE studies and insight generation • Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality

🏖️ Benefícios

• Health benefits to include Medical, Dental and Vision • Company match 401k • Eligibility to participate in Employee Stock Purchase Plan • Eligibility to earn commissions/bonus based on company and individual performance • Flexible paid time off (PTO) and sick time