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Associate Director, Statistical Programming bei Invivyd

Invivyd · New Haven, Vereinigte Staaten Von Amerika · Remote

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ABOUT US

There are more than 9 million immunocompromised people in the United States. Almost half a million of those represent a population that are moderately to severely immunocompromised and at highest risk for severe COVID-19, including stem cell and solid organ transplant patients as well as those with hematologic cancers.

At Invivyd, Inc., we take those numbers very seriously and we come to work each day on a mission to deliver protection from serious viral infectious diseases, beginning with SARS-CoV-2.  Invivyd deploys a proprietary integrated technology platform unique in the industry designed to assess, monitor, develop, and adapt to create best in class antibodies. In March 2024, Invivyd received emergency use authorization (EUA) from the U.S. FDA for a monoclonal antibody (mAb) in its pipeline of innovative antibody candidates.

Join an incredible team of innovators, disrupters, predictive modelers, and antibody engineers who embrace a shared sense of ownership, a passion to save lives, think boldly and creatively, take targeted risks, are unafraid of failure, and welcome change as a positive catalyst to new opportunities.

Be part of making a difference. Be part of Invivyd.

Location: Northeast Preferred

The Associate Director of Statistical Programming is a proven leader in statistical programming with strong technical skills and has a recent regulatory submission track record. This position serves as the lead programmer and manages statistical programming efforts for all compounds and for key BLA and MAA related activities. This person is also a key contributor in the development of Statistical Programming strategies including outsourcing and oversight strategies, standards and processes. 

Responsibilities:

  • Lead statistical programming and regulatory submission activities
  • Manage CROs to meet timelines and expectation of quality
  • Collaborate with other functions to ensure clarity, accuracy and consistency of case report forms (CRFs), develop and comply with project/study programming standards and specifications according to regulatory guidelines
  • Create and validate SDTM, ADaM, and TLFs
  • Create, validate, and document complex and reusable macros for data cleaning, validation, analysis, customized report and graph generation, and integration of data
  • Write and review the data specification of SDTM and ADaM data sets
  • Track clinical trial milestones and work with vendors for statistical reporting deliverables
  • Maintain records for all assigned projects and archiving of trial/project analysis and associated documentation
  • Understands and performs in accordance with regulatory standards and drug development principles
  • Responsible for the creation and accuracy of regulatory submission data and clinical summary report package

Requirements:

  • BS in statistics, biostatistics, engineering, computer science or equivalent area with 8+ years of experience in statistical programming within the pharmaceutical industry
  • Excellent SAS software programming skills, including Base SAS, SAS/STAT, SAS/GRAPH and macro development (SAS certification is required)
  • Strong understanding of clinical trial processes and statistical programming requirements for regulatory submissions (regulatory submission experience including NDAs/MAAs is required)
  • Extensive experience in defining and implementing CDISC compliant SDTM and ADaM data and specifications
  • Must be able to travel to New Haven, CT office at least 1x a month

At Invivyd we strive to create a welcoming and inclusive environment. Here all applicants will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics.

Invivyd is proud to be an equal opportunity employer.

We do not accept unsolicited resumes from agencies. 

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