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Senior Manager, Statistical Programming

immunomeinc · Bothell, Washington, United States

Imported listingfull-time17 days ago

About The Role

**Company Overview**

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, supported by a leadership team with deep experience in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugates. Our pipeline includes varegacestat, an investigational gamma secretase inhibitor for which an NDA has been accepted by the U.S. FDA; IM-1021, a clinical-stage ROR1 ADC; IM-1617, a clinical-stage solid tumor ADC; and IM-3050, a clinical-stage FAP-targeted radioligand therapy. We are also advancing a broad portfolio of early-stage ADCs pursuing undisclosed solid tumor targets.

**Position Overview**

The Senior Manager, Statistical Programming will provide planning, execution, and quality of SAS programming deliverables supporting the analysis and reporting of clinical trial results. This role also ensures the submission-readiness of study data packages in accordance with CDISC standards, applicable regulatory guidance, and internal standards. This role will also collaborate cross-functionally with Biostatistics, Data Management, Clinical Development, and others to contribute to the development and continuous improvement of statistical programming standards, processes, tools and infrastructure within the Biometrics department.

**Responsibilities**

  • Lead statistical programming activities for 1 or 2 assigned clinical studies, ensuring high-quality deliverables across the full study lifecycle.
  • Develop and/or view programming specifications based on the Statistical Analysis Plan and oversee the creation, validation, and delivery of CDISC-compliant SDTM and ADaM datasets, TLFs, Define.xml, and reviewer guides.
  • Provide hands-on SAS programming support for key analyses, data exploration, ad hoc requests, and internal or regulatory deliverables, as needed.
  • Manage study programming timelines, coordinate dependencies, proactively identify risks, and ensure alignment with cross-functional study plans and key milestones.
  • Collaborate closely with Biostatistics, Data Management, Clinical Operations, and Safety teams to review requirements, refine specifications, and resolve data or programming issues.
  • Review Data Management Plans, case report forms, data transfer specifications, external/vendor data specifications, and validation-related documentation to ensure data quality and downstream programming readiness.
  • Oversee CRO statistical programming activities, review outputs for accuracy and compliance, and ensure timely, high-quality delivery of datasets and analysis results.
  • Validate CRO-generated SDTM/ADaM datasets, TLFs, and submission components using industry-standard tools such as Pinnacle 21 to access CDISC compliance and support resolution of identified issues.
  • Develop and maintain SAS macros, utilities, and programming standards, and reusable tools to improve efficiency, consistency, and scalability across studies.
  • Ensure adherence to CDISC standards, regulatory expectations, departmental SOPs, and best practices for statistical programming and data traceability.
  • Mentor and provide technical oversight to junior programmers or contractors supporting assigned studies.
  • Contribute to and, where appropriate, lead departmental initiatives, process improvements, and cross-functional projects beyond assigned study responsibilities.

**Qualifications**

  • A master’s degree (or higher) in Statistics, Computer Science or other closely related field to programming with minimum 6+ years of relevant pharmaceutical/biotech industry experience.
  • Requires solid knowledge of statistical programming principles, clinical trials process and regulatory requirements.
  • Prior NDA submission and regulatory agency interaction experience highly desirable.
  • Prior Oncology/Hematology experience highly desirable.

**Knowledge and Skills**

  • Dynamic self-starter; agile learner; strategic and creative thinker.
  • Demonstrated strong problem solving and risk-mitigation skills.
  • Excellent verbal/written and interpersonal skills required to communicate and collaborate effectively with cross-functional teams (clinical operations, Scientists, Medical Monitors and Statisticians) in face-to-face conversation, by telephone, and by email.
  • Good working knowledge of ICH, FDA, and GCP regulations and guidelines.
  • Strong, well-rounded technical skills (SAS, EDC systems, MS Word, Excel, PowerPoint, API based data extracts, ETL principles) and knowledge of industry standards (CDISC, SDTM, CDASH, ADaM).

Washington State Pay Range

$175,545—$200,965 USD

**E/E/O**

Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

**E-Verify**

Immunome, Inc. is a participant in E-Verify. Please review the following notices: [E-Verify Participation Poster](https://immunome.box.com/s/bopxukipfidxjscs4bjxt75f90bvpppk) | [Right to Work Poster (English)](https://immunome.box.com/s/r51g9subw1wqni9xkutbl6up635sjr8e) | [Right to Work Poster (Spanish)](https://immunome.box.com/s/r3ekbimwh988my9vzl76tnlbg60zvh9u).

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