Senior Database Programmer/Analyst
Location: Midwest
Responsible for
implementation of data management activities in support of clinical trials, including:
design and maintenance of clinical databases using Oracle Clinical; design of data
collection forms; generation of analysis files, data tables, listings and reports;
establishment and documentation of data management processes.
Responsibilities:
Design, test, implement
and document study clinical databases using Oracle Clinical (OC). Write study specific
data entry work instructions.
Work with Clinical Research
staff to develop or manage the development of case report forms.
With Clinical Research
staff, establish data validation rules. Test, implement and document data validation
checks and derivations.
Prepare a data management
plan to document study-specific data management activities to ensure data integrity.
Participate in effort to
standardize and enhance reusability of OC library objects.
Generate analysis files,
data tables, listings, reports, and ad hoc queries from OC and related databases using SAS
and other software tools.
Maintain clinical databases
according to change control procedures.
Oversee query generation and
resolution and resolve issues with validation rules.
Provide
programming support to the Biostatistical Programmer/Analyst as needed.
Act as a
resource for database-related questions.
Represent Data Management
staff in cross-divisional initiatives such as CEC reporting, CRF template design, clinical
web site development, electronic data capture, etc.
Develop and implement
methods to ensure high level of quality in Data Management deliverables. Oversee and/or
mentor junior Database Programmer/Analyst staff, as needed.
Qualifications:
Bachelor's degree in
biostatistics, statistics, information science, public health, or a life science
discipline.
Minimum of 5 years
experience in clinical research and database programming.
Demonstrated computer
expertise with relational databases and word processing; experience using Oracle Clinical,
SQL, and SAS highly desirable.
Strong interpersonal
communication and presentation skills.
Strong time management,
organizational, and analytical skills.
Ability to work in a
multidisciplinary team.
|
