Associate Director, Clinical and Statistical Programming

Umoja Biopharma is an industry-leading biotech with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting-edge drug development.

We are committed to our core values and principles that support our overall mission and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja to deliver on our goals.  We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families.

Umoja Biopharma - Your Body. Your Hope. Your Cure.

POSITION SUMMARY

The Associate Director, Statistical Programming will be responsible for strategic planning, executing and quality checking of data programming and statistical analysis deliverables to support clinical trial conduction and prepare submission readiness package. This role provides technical and operational leadership to ensure compliant, high-quality analysis datasets, tables, listings, and figures (TLFs) in accordance with CDISC standards and FDA guidance. This role will operate as an individual contributor and is responsible for enhancing the statistical programming infrastructure of the Biometric department, building and leading a highly efficient data and matrixed statistical programming team (contractors, vendors, CROs, FTEs) over time.

This role will partner closely with Biostatistics, Clinical Data Management, Clinical Operations, and Regulatory Affairs to support submission readiness and successful regulatory interactions.

This role will ideally be based out of our Seattle, WA location and work onsite at least 2 days/week. We are open to remote within the US for the right candidate.

CORE

ACCOUNTABILITIES

Specific responsibilities include:

* Lead statistical programming activities for clinical trials and ensure the timely delivery of high-quality outputs throughout the full study life cycle.

* Review clinical trial protocols, SAP, CRF designs, and EDC deployments, and provide input for EDC edit checks to enhance clinical trial data quality.

* Guide and review outputs from CROs, which may encompass submission datasets, programs, and outputs to ensure the submission package (SDTM and ADaM specifications, SDTM and ADaM programs and datasets, Tables, Listings, and Figures (TLFs) outputs, define.xml, and reviewer guides, etc.)  adheres to regulatory requirements and is compliant with CDISC standards.

* Lead and support statistical programming activities for regulatory submissions including INDs, NDAs, and/or BLAs.

* Review data management plans, data transfer plans, and test EDC deployment to ensure readiness for downstream programming.

* Provide hands-on SAS programming support for key safety and efficacy analyses of clinical trials, as well as ad hoc exploratory and publication analyses as required.

* Mentor and provide technical oversight to statistical and data programmers and contractors.

* Collaborate closely with biostatisticians, study physicians, data management, clinical operations, and safety review teams to review data or programming issues and improve the overall quality of clinical trial data.

* Support internal and external audits, inspections, and regulatory inquiries related to statistical programming deliverables.

* Assist the department head in building the infrastructure of the biometrics department, which may include creating macros and programs, TLF shells, departmental SOPs, and best practices for statistical programming and data traceability.

The successful candidate will have:

* MS in biostatistics, statistics, computer science, or a closely related field, coupled with extensive quantitative analysis methodologies and statistical programming proficiency with a minimum of 10 years of experience in pharmaceutical companies or CROs is required.

* At least 5 years of demonstrated leadership experience in projects and managing, mentoring, and developing teams.

* A solid comprehension of statistical programming principles, advanced SAS programming expertise, extensive experience in the preparation of regulatory submission packages, and substantial knowledge of CDISC standards.

* Exceptional attention to detail and a strong risk-mitigation mindset, a self-driven learner to continuous learning and updating programming skills and therapeutic area (TA) knowledge.

* Excellent verbal, written, and interpersonal communication skills are mandatory for clear and efficient communication and collaboration with cross-functional teams, which…