Remote Senior Data Analyst (Statistical Programming)

Celerion

Aberdeen, UK

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

find.jobs

Tech stack

Data Analysis Biometrics Clinical Data Management Python (Programming Language) SAS (Software) SAS/STAT Macros Data Management Programming Languages

Job description

Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster. Are you looking for an opportunity to support a business creating life-saving treatments? If so, we can’t wait to meet you!, Celerion is seeking a Senior SAS Data Analyst to join our Data Management and Biometrics team in Belfast, Northern Ireland to provide statistical programming support for early-phase clinical research. In this role, you will independently design, develop, maintain SAS programs to support the analysis and reporting of clinical trial data. The Primary Responsibilities of this Position Are:

Independently develop, maintain, and process SAS programs for clinical studies, creating analysis data packages (ADaM), statistical analyses, data listings, tables, and figures.
Perform peer QC, double programming and validation functions for statistical outputs from studies.
Lead statistical programming activities on studies and deliverables.
Assist Management and Biostatisticians with complex projects.
Design and implement SAS programs for standardized use.
Train and mentor junior programmers.
Ensure compliance with statistical analysis plan and departmental procedures.

Requirements

Minimum of a Bachelor’s Degree in Statistics, Mathematical Science, Physics, or Computing related field.
4+ years of SAS® programming experience in a CRO or Pharmaceutical industry.
Proficient in Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/ODS.
Experience applying CDISC requirements to generate ADaM datasets and supporting documentation ( define.xml , Reviewer’s Guides), demonstrating proficiency in these areas.
Excellent interpersonal skills.
Strong problem-solving and decision-making abilities.
Demonstrates a high level of attention to detail.
Demonstrated ability to work collaboratively as part of a team.
Familiarity with R, Python, and other programming languages preferred.