Principal Stat Programmer (R Prog + SAS + SQL)

Description

Principal Statistical Programmer

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.

Discover what our 29,000 employees, across 110 countries already know:
WORK HERE MATTERS EVERYWHERE

Why Syneos Health

Job responsibilities
Uses SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications.
Works to ensure that outputs meet quality standards and project requirements.
Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings.
Keeps project team members informed of programming progress and issues requiring their attention.
Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH).
Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness.
Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload.
Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework.
Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus.
Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business.
Accountable for on-time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions.
Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables.
Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities.
Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor.
Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process.
Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions.
Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures.
Contributes technical expertise to the development of programming tools and macros for standardization and efficiency.
When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards
When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents. (i.e. DEFINE.XML)
When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards.
Transfers deliverables.
Performs other work-related duties as assigned.
Minimal travel may be required

Qualifications

What we re looking for
Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience.
Extensive programming experience in SAS or other required software, preferably in a clinical trial environment as demonstrated by the ability to lead multiple complex and/or global projects with teams of statistical programmers.
Requirement - R Programmer(s): External Anonymized Dataset production
Require Statistical Programmer II (2-4yrs); Sr Statistical Programmer (5-8yrs); Principal Stat Programmer (8yrs above) relevant experience in Clinical SAS
SAS/SQL, R programming skills
Hand on experience in Anonymization of Clinical Datasets will be given weightage
Experience in Github / GitLab preferred
SDTM / ADaM Theoretical knowledge and SDTM hands on experience will be value added.
Excellent written and verbal communications skills.
Capable Programmer(s) with proven R (R Studio) skills. SQL experience will be useful to write conditions for data redactions. As code is managed using Git\Gitlab any experience in this area will also be useful. Some knowledge of Python may be useful e.g. to look at code / outputs.
Good eye for detail to review clinical data pre- and post-processing from the anonymization ruleset tool. This includes review for Personal Protected Information (PPI) based on the ruleset provided or variables/observations do not present in the ruleset.
Knowledge of the drug development process (Phase I through IV) and general regulatory requirements.
study lead experience and capable of managing multiple studies