Job Name: Senior Statistical Programmer
Location: Nutley, NJ
12 month Contract
Work Model: remote - must be US based and reside in the North East
**W2 only, we cannot work C2C with any other agency.   Must be eligible to work for any employer in the US for the full 12 month contract**



Full Job Description:

To support the Biostatistics team by carrying out programming activities of statistical programmers and overseeing external vendors (as required), and to ensure timely and accurate programming and validation activities for clinical studies and publications. Contributes to the overall efficiency and
best practice of the Biostatistics group, demonstrating the ability to work efficiently and to a high standard within a clinical team environment.

Main duties/responsibilities: Providing statistical programming and validation support for clinical study reports, overseeing programming activities by external vendors (e.g., CROs) when necessary and coordinating programming activities among the study programmers to achieve timely progress in the following areas: SDTM datasets, ADaM datasets, statistical tables, figures, listings, and other internal and external requests (e.g., publications). Accessing and converting data to SAS from Database management system and PC file formats (e.g., MS Excel, text files). Working with external vendors in order to develop or monitor the content and structure of SAS data sets. Working closely with clinicians, statistician, and publication managers to generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies; coordinate internal resource utilization for publication and generate activities metrics for management review. Providing input to the Database and CRF Development, creating edit check programs and providing feedback to the Data Management. Providing input in developing statistical analysis plans, specifications of analysis datasets, validation plans, and other related documents. Maintaining standards for programming activities. Working independently to accomplish tasks and goals defined by supervisor. Bringing in new ideas to improve the programming process.
Qualifications and education required: Minimum of Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related science discipline. Masters preferred.
Experience required: Minimum 7+ years experience in SAS programming for phase I-IV clinical trials in a pharmaceutical/CRO environment. FDA submission experience preferred. Some project experience in a pharmaceutical/CRO programming environment or demonstrated leadership in a clinical pharmaceutical/CRO environment.
Skills and aptitude required: Experience using SAS-Base, MACRO, STAT, GRAPH, ACCESS, MS Office. Experience in CDISC data standards, e.g. SDTM and ADaM Proven experience with Unix and Windows operating systems. Understanding of the software development life cycle. Understanding of FDA guidelines. Good organization, time management and attention to detail skills needed to work in a stressful environment under tight deadlines while maintaining focus on details and quality. Applies good judgment and demonstrates initiative to resolve issues. Strong verbal, written and interpersonal communication skills needed to work effectively in a team environment.

System One, and its subsidiaries including Joulé, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.