Senior Statistical Programmer (Remote)

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today.

Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest’s headquarters are located in Markham Ontario, Canada with additional locations in: Bridgewater, New Jersey; Shanghai, China; Taipei, Taiwan; and multiple offices in Europe.

Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients’ needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success.

Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that’s us…that’s Everest.

To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Statistical Programmer for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy.

Key Accountabilities

• Design and specify study data tabulation models and analysis data models for clinical trials or for the integration of clinical trial data from multiple trials (e.g. ISS and ISE datasets). These designs and specifications are completed in accordance with common industry standards and conventions, statistical requirements and specifications, and/or clinical trial sponsor’s requirements.


• Generate complete and efficient analysis data models following approved dataset designs or specifications. Perform independent validation of datasets created by other programmers or statisticians.


• Develop SAS programming codes and generate complete and accurate statistical output reports of trial data in well-defined formats.


• Develop SAS programming codes to independently validate statistical output reports of trial data generated by other programmers or statisticians.


• Develop and test SAS codes for clinical trial database logical checks and reports for ongoing data review.


• Document data and programming information in accordance with corporate SOPs and guidelines.


• Archive clinical trial data (study data tabulation models and analysis data models) and programming information in accordance with corporate archival SOPs and guidelines.


• Develop and provide expertise in other programming and system administration areas when required.


• Provide technical guidance and support to less experienced Statistical Programmers.


• Contribute to the continuous improvement of the statistical programming processes and procedures.


• Contribute to the establishment of therapeutic area programming standards/conventions/procedures within assigned therapeutic areas as a lead programmer.


• Contribute to the establishment of client specific programming standards/conventions/procedures for assigned clients when required.

Qualifications And Experience

• A Master’s in Math/Statistics with at least five years experience

 

To find out more about Everest Clinical Research and to review other opportunities, please visit our website at

Estimated Salary Range: $100,000 - $130,000.

We thank all interested applicants, however, only those selected for an interview will be contacted.

Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.

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