Senior RWE Statistical Programmer - Data Analytics Lead

Cytel

Annapolis (MD)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Cytel Inc. is seeking a senior epidemiology data scientist to lead Real World Data analyses for pharmaceutical research. You will design studies, code analyses, and produce tables and figures using SQL, SAS, or R to support regulatory and safety documents.

Collaborating with epidemiologists, statisticians, and stakeholders, you will develop data-driven strategies, present results, and contribute to study reports. A Master’s or PhD and 5+ years in RWE analytics are required.

Qualifications

  • Master’s or PhD in a related field with 5+ years of experience in real-world evidence analytics.
  • Strong SQL skills; SAS or R proficiency required.
  • Deep expertise analyzing RWE sources (Optum/Clinformatics, Truveta, UK Biobank) and clinical data.
  • Familiarity with relational databases and claims/ancillary data layouts.
  • Experience with regression, survival, and propensity weighting analyses; strong communication skills.

Responsibilities

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR).
  • Liaise with data vendors to obtain relevant data extracts for studies.
  • Create analytical databases from data extracts to facilitate analyses.
  • Conduct analyses per study protocols and analysis plans.
  • Produce tables and figures for discussions with investigators, clients, and study reports.
  • Present results internally and to clients.
  • Assist in preparation of study reports and other deliverables.
  • May have supervisory responsibilities in the future.

Skills

SQL proficiency
SAS or R proficiency
RWE analytics
Data visualization
Project management
Stakeholder communication
Epidemiology background

Education

Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, economics

Tools

SQL
SAS
R

Job description

Cytel Inc. is seeking a senior epidemiology data scientist to lead Real World Data analyses for pharmaceutical research. You will design studies, code analyses, and produce tables and figures using SQL, SAS, or R to support regulatory and safety documents.

Collaborating with epidemiologists, statisticians, and stakeholders, you will develop data-driven strategies, present results, and contribute to study reports. A Master’s or PhD and 5+ years in RWE analytics are required.

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