Principal 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 Corporate headquarters are located in Ontario, Canada and US headquarters in New Jersey, USA, with additional physical offices in Asia and 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 Principal 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:

1. Lead projects with higher level of complexity/challenges/difficulties. Lead efforts to resolve complex statistical programming issues or problems.
2. Perform a leadership role in statistical programming projects by coordinating study team(s), overseeing timelines, assigning and following up on programming tasks, interacting with clients, and ensuring quality of programming deliverables.
3. Assist statistical programming management in properly planning and allocating resources based on timelines, statistical programmers’ skills and expertise, as well as availability.
4. Participate in developing and maintaining clinical trial data and statistical programming standards to ensure the company standards are up to date and in line with pharmaceutical industry standards, conventions, and regulatory requirements.
5. Perform hands on primary statistical programming and validation programming on assigned projects including but not limited to phase I – IV clinical trials, integrated clinical summaries, responses to requests from regulatory agencies, publication support, data explorations, data monitoring committee meetings, etc.
6. Create SDTM mapping specifications and ADaM data specifications. Perform quality control (QC) review of these documents prepared by others.
7. Create SDTM and ADaM define.xml files. Perform QC review of these files prepared by others.
8. Perform 3rd level QC review on programming deliverables before their release to the clients.
9. Perform QC review/assessment on regulatory submission programming documents, datasets, tables/listings/graphs (TLGs), and computer programs, etc.
10. May lead programming efforts for drug development programs or for assigned client clusters.
11. Provide training, mentorship, and technical guidance to less experienced Statistical Programmers or Biostatisticians who perform statistical programming.
12. Monitor the compliance and adherence to the established data and programming standards, and statistical programming governing documents.
13. May represent the company in interactions with clinical trial sponsors with regard to statistical programming projects and relevant businesses.
14. Participate in the development of statistical programming policies, SOPs, guidelines, and good working practices.
15. Participate in statistical programming project bidding or bid defense meetings.
16. Work with document management specialists/archivists to plan and perform archival of the statistical programming datasets, outputs, documents, and final programs upon the completion of the assigned projects. Perform transfer of the archived files to the clinical trial sponsors.

Qualifications and Experience:

1. M.Sc., M.A. or higher degree in Statistics, Biostatistics, Computer Science, or relevant fields.
2. 10 (M.Sc., M.A.)/9 (Ph.D.) years’ related experience.
3. An in-depth knowledge of clinical trial data processing and manipulation, hands on statistical programming and analysis, requirements for assembling and presenting trial results to regulatory agencies. Knowledge of industry standards on how clinical trial data are structured, stored, analyzed, and presented. Knowledge of clinical trial regulatory and ICH requirements.
4. Must demonstrate ability to effectively plan, control, and carry on tasks in SAS programming, statistical analysis, and submission of trial data and results to regulatory agencies. Must possess in-depth level understanding of the concept of standardization in data, programming, and statistical reporting of trial results, and its implication to the relevant functions and operations. Must have sound technical judgment and experience in process design and implementation in relevant areas. Strong leadership and drive to achieve goals will be required.

Benefits & Compensation: 

We offer a robust benefits package to support your health, well-being, and growth, including medical, dental, and vision coverage, life & AD&D insurance, short- and long-term disability, tuition reimbursement, fitness reimbursement, employee assistance program (EAP), a 401(k) retirement, generous paid time off and sick leave, and the opportunity to earn a performance based bonus.

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

Estimated Salary Range: $112,000 - $175,000

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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