Senior Statistical Programmer

Park Street People; London; Remote; GBP 150,000 - 200,000; Full time

Job summary

A global pharmaceutical company is seeking a Senior Statistical Programmer for a fully remote position on a 12-month contract. The role involves developing and validating complex analysis datasets, performing statistical analyses, and collaborating closely with epidemiologists. Candidates should have strong statistical programming skills in SAS and SQL, with a keen eye for detail. This opportunity may lead to extensions beyond the initial contract duration.

Benefits

Occasional expensed onsite meetings

Supportive team environment

Qualifications

• Strong experience in statistical or observational research programming.
• Strong SAS and SQL programming skills.
• Understanding of statistical and epidemiological methods.

Responsibilities

• Develop and validate complex analysis datasets from large data sources.
• Perform statistical analyses and create reports for observational studies.
• Interpret and implement analysis plans in collaboration with epidemiologists.

Skills

Statistical programming

SAS

SQL

Collaboration

Attention to detail

Tools

Databricks

R

Python

Job description

A global pharmaceutical company is currently looking for a Senior Statistical Programmer to join their team on a 12-month temporary contract.


Why should you apply?

• Ideal opportunity for a high calibre Statistical Programmer to join a top-20 global pharmaceutical giant.
• Fully remote working (with occasional expensed, onsite meetings).
• Will consider talent from CRO's who are looking to make the move to a sponsor.
• Highly collaborative and team focused organisation who will support you at all stages to ensure the contract is successful.
• Scope for extensions beyond the initial 12-month period.
• Note - using SAS (or R / Python) + SQL in the pharma industry will be essential for an application to be successful.

As a Senior Statistical Programmer, you will work on real world data to deliver high quality analyses that support evidence-based decisions in drug development and patient care.

Key Responsibilities

• Develop and validate complex analysis datasets from large and diverse data sources
• Perform statistical analyses and create reports for observational studies using Databricks and SAS
• Interpret and implement analysis plans in close collaboration with epidemiologists
• Ensure programming accuracy and compliance by reviewing peer code and outputs
• Identify and resolve data issues, ensuring robust, high quality results

Requirements

• Strong experience in statistical or observational research programming
• Strong SAS and SQL programming skills (knowledge of R or Python is also welcomed)
• Understanding of statistical and epidemiological methods is desirable
• Experience handling observational or biomedical research data; knowledge of EHR databases such as CPRD or OMOP Common Data Model is advantageous
• Excellent attention to detail, communication skills and the ability to collaborate effectively in a team

Park Street People Ltd is an Equal Opportunities Employer. We do not discriminate on the grounds of age, race, gender, disability, creed or sexual orientation and comply with all relevant UK legislation. We are acting as an Employment Business in relation to this role.