Statistical Programmer

BioSpace

North Chicago (IL)

On-site

USD 90,000 - 130,000

Full time

4 days ago
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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
401(k)

Job summary

AbbVie in North Chicago, IL is seeking a Statistical Programmer to join the research and development of new pharmaceutical products, focusing on the analysis and reporting of clinical trial data under the direction of a Senior Statistical Analyst.

The role interfaces with Statistics, Clinical Data Strategy & Operations, Medical Writing, Regulatory Publishing and Development Operations to ensure high-quality data deliverables.

Qualifications

  • MS in Statistics, Computer Science or a related field with 0+ years of relevant experience.
  • Demonstrated practical understanding of SAS programming or NONMEM concepts and techniques.
  • Ability to communicate clearly both oral and written.

Responsibilities

  • Create documentation for regulatory filings including reviewers guides and data definition documents.
  • Participate in the development of standard SAS Macros.
  • Consolidate heterogeneous data sources (e.g. clinical study databases, external databases, real-world data) to prepare analysis-ready data sets within a defined quality control process supporting a particular study.
  • Perform exploratory data analyses and visualizations in interaction with the clinical pharmacologist or pharmacometrician.
  • Produce dynamic and static data visualizations to communicate quantitative analyses.
  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.
  • Develop SAS programs for the creation of Tables, Listings and Figures.
  • Validation of ADaM data sets.
  • Validation of Tables, Listings and Figures.
  • Create specifications for the structure of ADaM data sets for individual studies.

Skills

SAS programming
NONMEM concepts

Education

MS in Statistics, Computer Science or related field
BS in Statistics, Computer Science or related field

Tools

SAS
NONMEM

Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Statistical Programmer is an integral project team member in the research and development of new pharmaceutical products. The primary responsibilities for this role include the analysis and reporting of clinical trial data under the direction and oversight of a Senior Statistical Analyst. The Statistical Programmer interfaces with key stakeholders (i.e. Statistics, Clinical Data Strategy & Operations, Medical Writing, Regulatory Publishing and Development Operations.)

Responsibilities
  • Create documentation for regulatory filings including reviewers guides and data definition documents.
  • Participate in the development of standard SAS Macros.
  • Consolidate heterogeneous data sources (e.g. clinical study databases, external databases, real-world data) to prepare analysis-ready data sets within a defined quality control process supporting a particular study.
  • Perform exploratory data analyses and visualizations in interaction with the clinical pharmacologist or pharmacometrician.
  • Produce dynamic and static data visualizations to communicate quantitative analyses.
  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.
  • Develop SAS programs for the creation of Tables, Listings and Figures.
  • Validation of ADaM data sets.
  • Validation of Tables, Listings and Figures.
  • Create specifications for the structure of ADaM data sets for individual studies.
Qualifications
  • MS in Statistics, Computer Science or a related field with 0+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 2+ years of relevant experience.
  • Demonstrated practical understanding of SAS programming or NONMEM concepts and techniques.
  • Ability to communicate clearly both oral and written.
Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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