Statistical Programmer

Interpublic; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Omnicom Group's Adelphi Real World team seeks a Statistical Programmer to coordinate analytical support across single-sponsor studies. You will manipulate and analyze real-world data and contribute to study deliverables with a collaborative, multi-disciplinary team.

You will draft protocols and SAPs, implement robust analyses, and ensure data security and quality. A strong numeric degree and expertise in SPSS/SAS/Stata are essential.

Qualifications

• Experience drafting study protocols and SAPs.
• Strong data manipulation and analysis of large secondary data sources.
• Proficiency in Stata, SAS or SPSS.
• Knowledge of the pharmaceutical industry.
• Excellent written and verbal communication; team-oriented.

Responsibilities

• Draft protocol sections (sample size, methods, analyses) for client review.
• Develop transparent SAPs with definitions and analyses for implementation.
• Manage data security, logging, storage and destruction across studies.
• Write and QC programming code for data manipulation and outputs.
• Coordinate with senior Gen SP team on capacity and timelines.

Skills

Statistical software

Data manipulation

SAPs development

Communication skills

Education

Honours degree (2:1 or 1st) in a numeric/analytical discipline

Tools

Stata

SAS

SPSS

Job description

Agency: Adelphi Job Function: Projects and Performance Improvement Job Subfunction: Project and Program Management Job Description: Statistical Programmer - Adelphi

Who We Are:

Adelphi Real World is a global consultancy in healthcare. We collect and interrogate real world data to aid the pharmaceutical industry in understanding the management and treatment of specific diseases. This understanding informs the successful development of pipeline assets and the positioning of inline products. Real world data can also be used to leverage Health Outcomes / Economic argumentation through statistically validated publications.

The Role:

To join the Generate Statistical Programming team with a primary focus of coordinating and providing analytical support across all single-sponsor secondary data studies, i.e. conducting complex data manipulation and analysis of existing real-world data sources worldwide to meet clients’ real-world evidence needs. You will work collaboratively with an enthusiastic and cohesive team, supporting various study teams and research projects.

Accountabilities:

• Drafting and finalisation of appropriate sections within study protocols (e.g. sample size, statistical methods, data analysis etc.) for review by clients and other review committees
• Development of a robust, transparent and coherent Statistical Analysis Plans (SAPs), incorporating comprehensive operational definitions and/or code lists, statistical methods, objective-specific analyses and table shells, for implementation by yourself or others with limited scope for interpretation
• Responsible implementing data management process, i.e. secure storage, logging and data destruction, across all secondary data studies
• Writing of programming code to address data manipulation, analysis and output requirements as detailed in the study protocol/SAP, including quality control (QC) of all code and outputs, and post-review revisions, as per the agreed study timelines
• Responsible for ensuring all secondary data studies are sufficiently resourced from a statistical/analytical perspective, including liaison with other senior members of Gen SP team to align on team capacity / workload

The person:

• Substantial experience and proficient in using statistical software (e.g. Stata, SAS, SPSS etc.)
• Substantial experience of conducting data manipulation and analysis of large, complex, event-level secondary data sources (e.g. claims data, electronic medical records, administrative data, registries etc.)
• Hold a good honours degree (2:1 or 1st) in a numeric/analytical discipline
• Experience of contributing towards or developing study protocols and/or SAPs
• Knowledge of the pharmaceutical industry
• A high level of interpersonal skills and willing to work collaboratively as part of a wider team
• A drive to help shape the future structure and success of the S&DA team
• Highly motivated with a proactive approach to work and strong problem-solving skills
• A high level of numeracy, analytical, and interpretive skills, with a close attention to detail
• Good organisational and time management skills and a flexible way of working
• Strong written and verbal communication skills and a confident communicator
• Proficient in standard Microsoft packages, e.g. Word, Excel and PowerPoint

The following attributes are not considered essential, but would be preferable in candidates:

• Substantial experience and proficient in Stata statistical software
• Experience with, or knowledge of, real-world evidence and/or observational studies

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