Senior Data Analyst - Real World Evidence Expert

Bebeebiostatistics; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading biostatistics firm seeks a Senior Data Analyst with expertise in Real-World Evidence (RWE) to design complex statistical analyses and lead RWE study designs. This fully remote position calls for an experienced Biostatistician with advanced skills in programming and a strong background in regulatory submissions. Enjoy flexible schedules and a focus on meaningful healthcare impacts in a stable environment.

Servicios

Flexible schedules

Career development programs

Great work-life balance

Formación

• PhD with 5+ years or MS with 7+ years of experience in RWE.
• Proven experience in RWE/RWD analytics and regulatory submissions.
• Strong programming skills with R, Python, SAS, and SQL.
• Expert in causal inference, survival analysis, and longitudinal data.
• Familiar with CDISC (SDTM, ADaM, CDASH) and ICH GCP.
• Excellent collaboration and leadership abilities.

Responsabilidades

• Design and execute complex statistical analyses.
• Lead development of RWE study designs and trials.
• Develop and validate models using relevant programming.
• Support regulatory submissions and communicate insights.
• Maintain data quality and compliance with standards.

Conocimientos

Statistical analysis

Data management

R programming

Python

SAS

SQL

Causal inference

Survival analysis

Longitudinal data analysis

Regulatory submissions

Educación

PhD in Statistics, Biostatistics, or related field

MS in Statistics, Biostatistics, or related field

Descripción del empleo

Senior Data Analyst - RWE ExpertDrive impactful Real-World Evidence (RWE) studies and contribute to innovative therapies with our global team of experts. This senior-level opportunity is ideal for an experienced Biostatistician with a passion for data analysis and RWE.

Key Responsibilities

Design and execute complex statistical analyses using various data sources.

• Lead the development of RWE study designs, including retrospective and pragmatic trials.
• Develop and validate models using programming languages such as R, Python, SAS, and SQL.
• Support regulatory submissions and communicate insights to cross-functional teams.
• Maintain data quality, reproducibility, and compliance with global standards.

Requirements

• PhD in Statistics, Biostatistics, or a related field (5+ years of experience) or MS (7+ years of experience).
• Proven experience in RWE / RWD analytics and regulatory submissions.
• Strong programming and data-management skills.
• Expertise in causal inference, survival analysis, and longitudinal data.
• Familiarity with CDISC (SDTM, ADaM, CDASH) and ICH GCP.
• Excellent communication, collaboration, and leadership skills.

Why Join Us

• 100% remote work with flexible schedules.
• Collaborate with global pharma and biotech leaders.
• Tailored development programs and career progression.
• Contribute to meaningful healthcare outcomes.
• Great work-life balance in a stable environment.