Statistical Data Scientist

Vaga não está no LinkedIn

🕒 Abril 20

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

📊 Cientista de Dados

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Praxis

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2002

🧬 Biotecnologia

⚕️ Seguro de Saúde

🔬 Ciência

Biotechnology • Healthcare Insurance • Science

A Praxis é uma empresa dedicada a conectar pacientes com oportunidades significativas de ensaios clínicos. Com foco na criação de programas de recrutamento personalizados, a Praxis utiliza uma variedade de ferramentas especializadas e vasta experiência em diversas áreas terapêuticas para garantir que alcancem os pacientes certos em todo o mundo. Estabelecida em 2002, a empresa enfatiza a importância do engajamento do paciente e utiliza insights sofisticados de dados para aprimorar a jornada do paciente na pesquisa clínica.

Descrição

• Lead the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs. • Translate SAPs and metadata specifications (YAML/CSV) into executable and reproducible code. • Build and validate R packages and data science tools supporting both exploratory and confirmatory analyses. • Implement and validate statistical models (e.g., MMRM, ANCOVA, logistic regression). • Collaborate with IT to integrate data science workflows within Databricks and CI/CD pipelines. • Collaborate across programming, biostatistics, and data standards functions. • Conduct peer code reviews, unit testing, and automated validation. • Mentor and guide team members in best practices for programming, validation, and automation.

🎯 Requisitos

• Bachelor’s or Master’s degree in Statistics, Biostatistics, Data Science, or a related field. • 8+ years of statistical programming experience in the pharmaceutical/biotech industry including hands-on experience with R and/or Python. • Proven experience preparing or supporting R-based regulatory submissions. • Strong understanding of CDISC ADaM and SDTM data structures, and their use in analytical workflows. • Experience developing and validating reusable R/Python libraries and functions. • Proficiency with Git, Bitbucket, and CI/CD automation pipelines. • Working knowledge of GxP and Part 11 compliance. • Excellent documentation and validation practices. • Collaborative and proactive mindset; able to operate independently in a small, agile team. • Familiarity with YAML/JSON configuration and metadata-driven programming workflows (preferred). • Prior experience migrating from SAS to R/Python (preferred). • Knowledge of R validation frameworks (e.g., risk-based testing, reproducibility documentation) (preferred). • Experience with exploratory analytics or visualization in R or Python within a regulated framework (preferred).

🏖️ Benefícios

• 99% of the premium paid for medical, dental and vision plans. • Company-paid life insurance. • AD&D and disability benefits. • Voluntary plans to personalize your coverage. • 401(k) matching up to 6% on eligible contributions. • Long-term stock incentives and ESPP. • Discretionary quarterly bonus. • Flexible wellness benefit. • Generous PTO and paid holidays. • Company-wide shutdowns.