Precision for Medicine is hiring a Senior Statistical Programmer to join our global team! If you have experience working as a Clinical Statistical Programmer carrying out lead programming tasks, and are working in SAS (and to CDISC standards) we would be keen to hear from you!

We invite you to learn more about our growing organization serving our clients that are researching ground-breaking cancer therapies. We strive to ensure employees feel appreciated for the contributions they make every single day.

You will perform clinical study programming in accordance with the study budget and scope of work. You will use your strong interpersonal and organizational skills to set and achieve both contracted and financial objectives in the execution of the programming.

Position Summary:

Support (and/or lead) SAS programming efforts for specific projects and studies, including developing, testing, maintaining, validating, and documenting SAS programs to meet project needs; Provide technical expertise to the development of programming standards and procedures.

Essential functions of the job include but are not limited to:

Review CRFs, edit check specifications and table mock-ups Create specifications for SDTM and ADaM datasets Generate blankcrf.pdf aCRFs and define.xml files Generate SDTM and ADaM datasets, tables, listings, and figures to support the analysis of clinical trials data Carrying out Lead statistical programming work on clinical studies Provide programming support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests Perform quality control (including documentation) for SAS programs and other study documents (e.g., presentations and reports) Review, maintain and approve study documents per standard procedures Interact with clients and lead statistical programming efforts for the project team; perform preliminary review to aid the senior level review for analysis package deliveries Prepare reports (i.e. patient profiles, SAP related outputs, interim analysis) for Data Monitoring Committees (DMCs) Assist with training of new hires; provide ongoing training and mentorship for statistical programmers Participate in the development and maintenance of departmental procedures/standards Program, test and document global utility programs and tools in accordance with standards and validation procedures Provide technical oversight and leadership when needed for analysis and reporting  Mentoring more junior team members as required

Requirements:

Minimum 5 years SAS programming experience. Previous SAS statistical programming experience working in Clinical Trials (in CRO, Biotech, Pharmaceutical company or related fields). Certified Advanced Programmer for SAS 9 or equivalent proficiency preferred Some experience with Oncology and Rare Diseases would be an advantage Some experience with ISS/ISE programming and submissions would be desirable Bachelor's degree in Statistics, Mathematics, Computer Science, or in a related field Knowledge of industry standards, such as ICH guidelines, CDISC data structures, 21 CFR Part 11 and FDA guidelines

Skills:

Experience working to CDISC standards (SDTM / ADaM dataset experience) Excellent organizational skills, time management, and the ability to coordinate workload to meet established deadlines Excellent communication and interpersonal skills to effectively interface with others (both internally and externally to foster client relationships) Excellent problem solving skills Ability to program/QC more complex analysis datasets and outputs (i.e. tables, ADaMs, efficacy related outputs, figures) in an efficient and readable manner Proficient in SAS macro programming Advanced computer skills Demonstrated proficiency in interpreting statistical analysis plans Lead experience 

Competencies:

Sound judgment/decision making Ability to establish and maintain effective working relationships with coworkers, managers, and clients Service oriented, accountable and flexible Keen attention to detail in reviewing outputs for project deliverables Ability to fulfill a variety of data-related roles while building company strength and experience in data activities Follow applicable regulations, including FDA, ICH, and Precision Policies and Procedures