In this vital role, you will be a Biostatistical Programming Manager responsible for leading a team that manipulates large databases and generates reports to produce Real-World Evidence (RWE) from real-world healthcare data assets. The ideal candidate will possess strong statistical programming skills, managerial experience, and a deep understanding of the drug development lifecycle. You will provide technical solutions to programming problems, manage a team, and ensure that all programming activities adhere to departmental standards and SOPs .
Responsibilities
- Technical Leadership & Project Management : Provide technical solutions to programming problems within the Centre for Observational Research ( CfOR ). You will lead and develop technical programming and process improvement initiatives, project manage programming activities, and oversee the work of outsourced resources.
- Team & Staff Management : Manage staff performance, oversee staff assignments, and participate in the recruitment of programming staff. You will also represent the programming function in multidisciplinary project team meetings.
- Programming & Validation : Write, test, and validate software programs in Unix to produce analysis datasets and presentation output. You will write, test, validate, and execute department-, product-, and protocol-level macros and utilities.
- Documentation & Compliance : Write and / or review and approve programming plans, analysis dataset specifications, and key study-related documents. You will ensure programming activities adhere to departmental standards and SOPs and will participate in study and systems audits.
- Collaboration & Innovation : Actively participate in intra-departmental and CfOR meetings, contributing to the continuous improvement of programming and R&D . You will collaborate with epidemiologists and other functions to drive RWE generation.
Qualifications
A Master's degree with 4-6 years, a Bachelor's degree with 6-8 years, or a Diploma with 10-12 years of experience in a relevant scientific subject such as Computer Science, Statistics, or Life Sciences. A Doctorate degree is also accepted.A minimum of 6 years of relevant career experience in statistical programming.Managerial experience directly managing people and / or leading teams is preferred.Proficiency in SQL programming and SAS or R is required; Python is preferred.Experience with Real-World Evidence (RWE) generation in pharmaceutical or related research industries.Experience working with real-world healthcare data ( RWD ) such as claims databases ( MarketScan, Optum Clinformatics, Medicare ) and EHR databases.Training or experience using the OMOP common data model is a plus.An understanding of statistics and basic epidemiology is essential.Skills
Technical : Hands-on programming and a lead role. You should have expert statistical programming knowledge using SAS or R , and experience with SQL .Communication : Excellent verbal and written communication skills in English, with the ability to have efficient exchanges with colleagues across geographical locations.Leadership : Strong leadership, teamwork, and innovation skills, with the ability to manage a team and drive initiatives.Problem-Solving : Excellent problem-solving abilities and meticulous attention to detail.Project Management : Experience with Agile project management is required.Skills Required
biostatistics , Project Management, Unix Shellscripting, statistical programming, Sql, Sas Programmer, R Programming