Manager, Statistical Programming

Allergan Aesthetics; Hartford (CT); Remote; USD 106,000 - 203,000; Full time

Job summary

A leading company in the pharmaceutical industry is looking for a Manager of Statistical Programming to lead a team in the research and development of new products. This role involves overseeing statistical programming activities, ensuring quality, and mentoring team members in a collaborative environment. The position offers the flexibility of remote work within the US and a competitive salary based on experience and qualifications.

Benefits

Comprehensive benefits package

Paid time off

401(k) plan

Short-term incentive programs

Long-term incentive programs

Qualifications

• 8+ years experience (MS) or 10+ years experience (BS) in relevant field.
• In-depth understanding of CDISC Standards and drug development process.
• Previous experience leading a team.

Responsibilities

• Leads statistical programming activities for compounds in development.
• Manages resource planning for statistical programmers.
• Ensures compliance with quality processes and timely deliverables.

Skills

SAS programming

Statistical Programming

Team Leadership

Communication

Education

MS in Statistics, Computer Science or related field

BS in Statistics, Computer Science or related field

Job description

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Job Description

Purpose:

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for a compound/indication or therapeutic area in early development. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

This is a remote opportunity that can sit anywhere in the US

Qualifications

• MS in Statistics, Computer Science or a related field with 8+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 10+ years of relevant experience.
• Previous experience leading a team of statistical programmers.
• In-depth understanding of SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• In-depth understanding of the drug development process, including experience with regulatory filings.
• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Key Stakeholders

• Statisticians
• Data Scientists
• Medical Writers
• Regulatory Publishers

Additional Information

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture. Salary: $106,500 - $202,500

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

• This job is eligible to participate in our short-term incentiveprograms.

• This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Company’s sole and absolute discretion, consistent withapplicable 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, visithttps://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