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Indero
Statistical Programmer-CanadaIndero • Montreal, QC, CA
Statistical Programmer-Canada

Statistical Programmer-Canada

Indero • Montreal, QC, CA
1 day ago
Job type
  • Full-time
  • Permanent
  • Temporary
  • Remote
Job description

The Statistical Programmer will be responsible for the development, maintenance, and validation of annotated Case Report Forms (aCRFs) as well as of specifications and statistical programming of Standard Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets (or derived datasets, as applicable), and Tables, Listings, and Figures (TLFs) required for various purposes including, but not limited to, Data Monitoring Committee (DMC) data review meetings, Interim Analyses (IAs), and Clinical Study Reports (CSR). The Statistical Programmer will also support Data Management (DM) with data cleaning activities, use global SAS macros and participate to internal initiatives to increase efficiency of the statistical programming of SDTMs, ADaMs, derived datasets, and TFLs, and use Pinnacle 21 to validate SDTMs and ADaMs.

The Statistical Programmer will work collaboratively within Biostatistical study teams and across departments to produce deliverables of the highest quality possible, within agreed timelines and budget, and in conformance with applicable International Council for Harmonization (ICH) guidelines, Pharmaceutical Industry standards and guidelines, Regulatory Authority requirements and guidelines, and Innovaderm’ standard operating procedures (SOPs) and processes.


More specifically, the Statistical Programmer must:

  • Adhere and promote company organizational values and related expected behaviors, follow company SOPs and processes for all deliverables, and ensure all trainings assigned to oneself are completed on time.
  • Review the statistical programming scope of work and budget at initiation of clinical trials and identify tasks that are out of scope.
  • Support DM with data cleaning activities by programming, reporting, reviewing, and closing statistical data issues in collaboration with other Statistical Programmers and Lead Biostatistician.
  • Develop/maintain/validate (as applicable) annotated Case Report Forms (aCRFs) according to protocol, electronic Case Report Forms (eCRF), and Innovaderm and/or Sponsor' standards and interpretation of Clinical Data Interchange Standards Consortium (CDISC) SDTM Implementation Guideline (IG) and Controlled Terminology (CT).
  • Develop/maintain/validate (as applicable) specifications and Primary or QC statistical programming (as applicable) of SDTMs, ADaMs (or derived datasets, as applicable), and TLFs based on protocol, aCRF, SAP, TLF Shells, Innovaderm and/or Sponsor's standards and interpretation of CDISC SDTM IG, ADaM IG, and CT and address any finding appropriately in collaboration with Statistical Programmer counterpart and/or Lead Biostatistician (as applicable).
  • Develop/maintain/validate (as applicable) SDTM define.XML/.PDF, clinical SDTM Reviewer’ Guide (cSDRG), ADaMs define.XML/.PDF, and ADaM Reviewer’ Guide (ADRG) based on SDTM specifications, ADaM specifications, and Innovaderm and/or Sponsor' standards and interpretation of CDISC.
  • Define guidelines and address any finding appropriately in collaboration with Statistical Programmer counterpart and/or Lead Biostatistician (as applicable).
  • Validate SDTMs, ADaMs, and define.XMLs using Pinnacle 21 and address any finding appropriately in collaboration with Statistical Programmer counterpart and/or Lead Biostatistician (as applicable).
  • Use global SAS macros to increase efficiency of the statistical programming of SDTMs, ADaMs, derived datasets, and TFLs.
  • Participate to internal initiatives to increase efficiency and/or quality of Statistical Programming activities/deliverables, including but not limited to development/ improvement/validation of standard macros, templates, and programming standards and processes.
  • Keep oneself abreast with latest Industry and CDISC standards as well as ICH and Regulatory Authority guidance and requirements.

May also:

  • Review and provide input into various DM documents (e.g., electronic Case Report Forms [eCRF], edit checks, etc.), Statistical Analysis Plans (SAPs), and Table, Listing, and Figure (TLF) Shells.
  • Act as a Lead Statistical Programmer on single studies.
  • Employee may be assigned to other responsibilities that do not pertain to their former description, if they have the required experience, are qualified and/or have received adequate training.


Brand name:
Indero

Our company:

At Indero, formely Innovaderm, you will work with brilliant and driven colleagues. Our values are collaboration, innovation, reliability and responsiveness. We offer a stimulating work environment and attractive advancement opportunities.


As a Statistical Programmer, you will be eligible for the following perks:

  • Permanent full-time position
  • Flexible schedule
  • Home-based position
  • Ongoing learning and development


Work location

The successful candidate for this position is given to work remotely anywhere in Canada.


About Indero, formely Innovaderm

Indero, formely Innovaderm is a contract research organization (CRO) specialized in dermatology. Since its beginnings in 2000, our organization has benefited from a solid reputation for the quality of its research and services exceeding the expectations of its clients. Based in Montreal, Indero, formely Innovaderm continues to grow and expand in North America and Europe.

Indero, formely Innovaderm is committed to providing equitable treatment and equal opportunity to all individuals. As such, Indero, formely Innovaderm will provide accommodations throughout the recruitment and selection process to applicants with disabilities, upon request.

Indero, formely Innovaderm only accepts applicants who can legally work in Canada


  • Bachelor’s degree in Statistics, Computing Sciences or a related field; master’s degree an asset.
  • At least 1 year of clinical research experience in biotechnology, pharmaceutical or CRO industry, including 1 year of Statistical Programming
  • Significant exposure to clinical trial data, SAP, TLF Shells, and specifications.
  • Excellent working knowledge of SAS; SAS certification an asset.
  • Knowledge of XML programming an asset.
  • Good knowledge of CDISC standards and guideline; CDISC certification an asset.
  • Good knowledge of drug development process, ICH guideline (including but not limited to, ICH E6, E9, and E9(R1)), relevant Health Canada (HC) and Food and Drug Administration (FDA) regulations, guidelines, and electronic data submission requirements, and Pharmaceutical Industry Good Programming Practices (GPP).
  • Very organized and detail-oriented, with effective project planning and time management skills.
  • Ability to work in high-speed environment with proven agility to juggle and prioritize multiple competitive demands.
  • Must be able to work independently and as part of a team.

Strong verbal and written communication skills in English; French an asset.

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Statistical Programmer-Canada • Montreal, QC, CA

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