Associate Director, Statistical Programming

Redwood City, California, United States

Corcept Therapeutics

EXPLORE THE POSSIBILITIES OF CORTISOL MODULATION. What began as a ripple of scientific truth is poised to unleash a sea change of discovery. We are unlocking the potential of cortisol modulation to revolutionize the treatment of serious...

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Corcept is leading the way in the research and development of cortisol modulators, molecules that regulate cortisol activity at the glucocorticoid receptor (GR). To date, we have discovered more than 1,000 selective proprietary cortisol modulators.

In 2012, we received FDA approval of Korlym® (mifepristone), the first approved treatment for hypercortisolism (Cushing’s syndrome).

Today, our team and collaborators continue to unlock the possibilities of cortisol modulation as a way to treat serious diseases. With more than 30 ongoing studies across a wide range of disease areas, including endocrinology, oncology, metabolism, and neurology, we remain dedicated to advancing the possibilities of cortisol modulation.

What began as a ripple of scientific truth is now poised to unleash a sea change of discovery representing a fundamental shift in the way we understand and treat disease.

Reporting to the Head of Statistical Programming, the Associate Director is responsible for the planning, execution, and quality of SAS programming to conduct statistical analyses in support of clinical trial results. This role is also responsible for submission readiness of study data packages per CDISC standards and FDA guidance, and enhancements of the statistical programming infrastructure of the Biometrics department as applicable.

Responsibilities:

  • Work with data management to review CRO generated case report forms, database specifications, and data transfer specifications
  • Review Statistical Analysis Plan, develop specifications, write and execute SAS programs for study data analysis and preparation for clinical study report
  • Develop specifications, build and execute SAS programs for internal data reviews, publications, exploratory, post-hoc and regulatory review
  • Develop SAS macros and tools for repeated program use for exploratory and post-hoc analyses
  • Manage on-time and quality delivery of CRO-generated analyses results
  • Review & provide feedback on CRO generated Statistical Analyses Plans and SDTM and ADaM specifications for domain and analysis dataset development, CDISC compliance and and output displays
  • Validate data and results of statistical analyses generated by CROs
  • Manage internal programming resources for study deliverables as applicable
  • Stay current with regulatory requirements on CDISC and clinical regulatory programming standards
  • Utilize CDISC implementation guides and industry validation software to check compliance of CDISC data packages (SEND, SDTM, and ADaM, define.xmls and reviewer’s guides)
  • Evaluate CDISC electronic data packages for completeness, regulatory standards compliance and submission readiness as applicable
  • Participate in standards governance and developing biometric department operational processes as applicable
  • Works with line manager and/or Head of Statistical Programming to establish and implement programming standards for validation, repeated use, and TMF archival of statistical programs and datasets

Preferred Skills, Qualifications and Technical Proficiencies:

  • In-depth knowledge of SAS BASE, MACRO, STAT, GRAPH, ACCESS
  • In-depth knowledge of CDISC SDTM and ADaM specifications and associated regulatory guidances
  • In-depth knowledge of Pinnacle 21 and how to address errors, warnings to generate acceptable reviewer’s guides (SDRG, ADRG)
  • Knowledge of clinical trial design, data collection, endpoints, statistical methods and standard data summary displays used in oncology and endocrine therapeutic areas preferred
  • Familiarity with data visualization tools (e.g Spotfire, Tableau, RShiny) a plus
  • Ability to operate independently in unstructured situations
  • Ability to communicate technical information to a non-technical audience

Preferred Education and Experience:

  • Sc/B.A. in Science, Statistics, Mathematics, Computer Science, Engineering, or related field (MS preferred)
  • 10+ years of experience in clinical trial development (late stage preferred)
  • FDA/EMEA submission experience a plus
  • Demonstrated ability for project management of statistical programming projects in clinical development
  • Experience managing delivery of statistical programming projects by CROs
  • Ability to navigate uncertainty with creative problem solving and take a hands-on, “roll up your sleeves” approach

The pay range that the Company reasonably expects to pay for this headquarters-based position is $205,000 - $253,300; the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience, and education.

 Applicants must be currently authorized to work in the United States on a full-time basis.

For information on how Corcept collects, uses, discloses, protects, and otherwise processes personal information and an explanation of the rights and choices available to you with respect to your personal information, please refer to our Privacy Notice link

Corcept appreciates the commitment and hard work of all our team members as we strive to discover and develop novel treatments for patients with serious unmet medical needs.

 Please visit our website at: https://www.corcept.com/

Corcept is an Equal Opportunity Employer

Corcept will not conduct interviews via text message or messaging platforms and will not ask you to download anything as part of your interview.  Though we use third-party tools to help with advertising our jobs, please be vigilant in checking that the communication is in fact coming from Corcept.

 

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Tags: CDISC Computer Science Data analysis Data management Data visualization Engineering Mathematics Privacy Research SAS Spotfire Statistics Tableau

Perks/benefits: Career development

Region: North America
Country: United States

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