Biostatistical Programming Mgr

Biostatistical Programming Manager

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.