RioConsulting is a clinical research organization (CRO) and a leading provider of clinical data science staffing solutions. With a dedication to bring innovative and customized data solutions, RioConsulting applies firm commitment to quality to our clients and partners.
We are constantly looking for the best and brightest clinical & programming experts to join us here in Rioconsulting. We recruit candidates with confidence and experience, knowledge and creativity. We are actively hiring candidates with demonstrated proficiency in using SAS to perform statistical analysis, solid understanding of the principles and practices of clinical research analysis and reporting, and enthusiasm to work in the clinical industry. Master's Degree in statistics, mathematics, computer science, or related field is prefered.
If you are interested in any of the following positions, please e-mail with your resume at email@example.com.
Principal Statistical Programmer
The Principal Statistical Programmer will be responsible for providing hands-on support and technical guidance on clinical project teams. This individual will participate in the design, development, and quality control process for SAS programs used to access, extract, transform, review, analyze, and submit clinical data for individual studies. This individual will participate in departmental and cross functional technology development and process improvement initiatives.
Effectively designs and codes SAS programs for assigned clinical projects(s), consistently meeting objectives of the study.
Codes complex SAS programs for applications designed to analyze and report complex clinical trial data and for electronic review, exchange, transformation, and submission of data in CDlSC SDTM format.
Provides guidance on the resolution of highly complex clinical trial reporting problems within budget and time line constraints, while assuring high quality standards.
Performs quality control checks of advanced SAS code and output produced by other Statistical Programmers.
Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group (e.g., macros or graphical user interface applications).
Responsible for maintaining excellent working knowledge of medical data, the design and phases of clinical trials, statistics, relevant regulatory requirements, and the pharmaceutical industry.
Statistical Programmer – Boston Area
Responsible for statistical programming activities in support of clinical trials, including insure quality deliverables, and to validate results.
Works closely with Data Management and Biostatistics, to ensure final databases, analyses, and reports are accurate
Responsible for insuring quality and integrity of statistical programming to meet current regulatory requirements and industry standards
Perform quality control checks of SAS code and output produced by other Statistical Programmers
Develop/Review TFL shells and SDTM and ADaM specifications in collaboration with biostatisticians and other clinical development colleagues
Principal Biostatistician Boston, MA
Biostatistician is responsible for the design, development and evaluation of the technical/statistical infrastructure for the conduct and evaluation of clinical trials, including the coordination of all related areas/activities. He/she works under minimal supervision to make improvements to protocols, SAPs, and related processes.
Developing the statistical section of the study protocol and any necessary amendments, including performing exploratory analyses of past studies and reviewing of relevant literature for optimal sample size estimation
Preparing/overseeing the development of the randomization plan and it’s documentation
Developing the statistical analysis plan (SAP) and corresponding TFL shells (in-text and end-of-text) with TFL programming notes in support of IA, DMC, and CSR analyses
Providing input to protocol deviation plan development and review.
Providing input to SDTM/CDISC and ADaM programming specifications development and review, (e-)CRFs, data monitoring plan, data management plan and data validation plan development