Experienced I Clinical Programmer

Clinical Data Analytics Reporting Programmer

As needed, you'll participate in large-scale cross-functional projects, leveraging your project and stakeholder management skills. A key part of your contribution will be to create, develop, and improve clinical data safety review and cleaning efficiency by providing innovative and forward-thinking reporting/visualization prototype solutions, report library templates, visualization templates, macros, and other cross-study solutions.

Responsibilities Include

• Partner with business representatives to translate requirements for clinical data and

  reporting/visualization solutions

  .
• Perform

  hands-on programming and data manipulation

  for all aspects of data quality and clinical safety review reports/visuals dashboards.
• Design and develop technical solutions in support of complex/critical clinical programming and

  reporting/visualization activities

  , including urgent requests at trial or cross-trial levels.
• Apply technical expertise to develop solutions that increase efficiency and quality, such as macros, report or visualization library templates, and cross-study solutions for clinical data safety review and cleaning.
• Serve as the primary report/visualization delivery contact for stakeholders.
• Serve as a departmental resource in areas of technical, scientific, disease, or therapeutic area expertise.
• Contribute to departmental innovation and process improvement projects.
• Train, mentor, and coach, and may delegate work.
• Serve as a subject matter expert in the field of clinical data analytics/sciences by knowing or learning industry-leading tools, researching related technical literature, and attending conferences/training courses.

Qualifications

• Bachelor's degree

  in Computer, Data, or Life Sciences or equivalent work experience is required. Advanced degrees are preferred.

• 4+ years of relevant experience in the pharmaceutical industry is desired

  ; experience in other industries in a Programming role will also be considered.
• In-depth knowledge of protocol and current clinical drug development processes is preferred.
• In-depth knowledge of data structures and relevant programming languages for data manipulation and reporting.

  SAS, R, Python, or equivalent programming languages is strongly preferred

  .
• Strong knowledge of complex finding data types, including but not limited to biomarker, digital data such as ECG, imaging, etc., is a plus.
• Experience utilizing tools intended for report writing, analytics, visualizations, or dashboard creation (i.e.,

  Spotfire, Tableau, Qlik, JReview, Business Objects, Oracle BI, or Crystal Reports

  ) is strongly preferred.
• Demonstrated understanding of

  CDISC requirements and implementation guidelines is preferred

  , with the ability to consume and translate CDISC standard datasets or similar.
• Project management skills and knowledge of team management principles are preferred.
• Demonstrated written and verbal communication skills are required.
• Aptitude and motivation to learn innovative technologies and make appropriate recommendations for consideration is preferred.

• Vendor management oversight experience is required

  .