Senior Director, Statistical Programming

LB Pharmaceuticals; New York (NY); On-site; USD 271,000 - 285,000; Full time

Job summary

LB Pharmaceuticals in New York, NY, seeks a Senior Director of Statistical Programming to lead the function across Phase 2/3, NDA submissions, and integrated analyses. The role combines hands-on programming (30-40%) with leadership (60-70%), directing vendors, budgeting, and cross-functional governance.

The candidate will maintain technical credibility while driving organizational growth and regulatory readiness, ensuring SDTM/ADaM quality and inspection readiness in a fast-paced biotech setting.

Qualifications

• Bachelor's or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or related quantitative discipline.
• 12+ years of statistical programming experience in pharmaceutical, biotechnology, or related life sciences.
• 5+ years of progressive leadership experience, including management of statistical programming professionals and/or programming leaders.
• Extensive experience supporting Phase 2/3 clinical development and NDA submissions.
• Demonstrated expertise in regulatory-grade SDTM, ADaM, TLFs, Define.xml, integrated analyses, and submission documentation.
• Advanced SAS expertise; working knowledge of R strongly preferred.
• Deep knowledge of CDISC standards and FDA/ICH requirements for clinical trial data.
• Demonstrated experience managing CRO and vendor programming activities from a sponsor perspective.
• Proven ability to build and scale programming processes, teams, and infrastructure.
• Strong understanding of programming validation, quality control, traceability, and inspection readiness.
• Experience working effectively in a small or mid-size biotech environment with evolving priorities.

Responsibilities

• Own the overall strategy, operating model, and delivery framework for Statistical Programming across the clinical development portfolio.
• Build and scale a high-performing organization of employees, contractors, and external programming partners.
• Establish organizational structure, staffing plans, career paths, performance expectations, and succession planning.
• Recruit, mentor, and retain high-caliber statistical programming talent.
• Allocate programming resources across competing study and submission priorities and proactively address capacity and delivery risks.
• Develop and manage the Statistical Programming functional budget in partnership with Biometrics and Finance.
• Establish KPIs and provide senior leadership with visibility into capacity, quality, timelines, and risks.
• Remain actively engaged in statistical programming, technical review, and complex problem-solving.
• Serve as senior technical lead for strategically important or high-risk Phase 2/3 studies and analyses.
• Develop and review SDTM and ADaM datasets, TLFs, programming specifications, and supporting documentation.
• Support implementation of SAPs in partnership with Biostatistics.
• Maintain expertise in SAS and relevant programming technologies, with R experience strongly preferred.
• Establish and maintain programming standards, reusable code, validation approaches, and efficient programming practices.
• Ensure technical work is accurate, reproducible, traceable, and inspection ready.
• Lead the Statistical Programming strategy for NDA preparation and submission activities.
• Oversee programming deliverables for ISS, ISE, integrated analyses, submission datasets, TLFs, Define.xml, Reviewer’s Guide, and related documentation.
• Ensure compliance with CDISC, FDA, ICH, and applicable data standards and regulatory expectations.
• Partner with Regulatory Affairs, Biostatistics, Data Management, and Medical Writing on submission planning and execution.
• Provide programming expertise for Health Authority interactions and responses to regulatory questions.
• Ensure the function is inspection-ready and capable of supporting regulatory review.
• Own the strategic management and governance of external statistical programming vendors and CROs.
• Establish appropriate internal versus external programming delivery models.
• Lead vendor selection, scope definition, resource planning, and performance management.
• Establish clear expectations for technical standards, timelines, quality, documentation, and escalation.
• Monitor vendor performance and resolve significant technical, quality, resource, and timeline issues.
• Ensure vendor deliverables meet LB Pharmaceuticals’ standards before acceptance.
• Own the Statistical Programming quality and governance framework.
• Establish and maintain SOPs, work instructions, programming standards, validation requirements, and documentation practices.
• Ensure consistent application of CDISC standards, including SDTM, ADaM, and Define.xml.
• Establish quality metrics, risk-management processes, and continuous-improvement initiatives.
• Provide strategic direction for SAS/R environments, programming libraries, automation, version control, and other technology supporting the function.
• Ensure programming systems and processes are secure, compliant, scalable, and appropriately validated.
• Serve as the senior Statistical Programming partner to Biometrics, Biostatistics, Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing.
• Translate technical programming issues into clear business implications, risks, and recommendations for senior leadership.
• Align programming resources and timelines with clinical development milestones, database locks, analyses, and regulatory submissions.
• Represent Statistical Programming in cross-functional governance and study teams.
• Strategic Leader: translates objectives into a clear Statistical Programming strategy.
• People Developer: builds and retains high-performing technical teams.
• Technical Authority: maintains hands-on programming expertise.
• Portfolio Leader: prioritizes resources across studies and milestones.
• Vendor Leader: manages CRO relationships.
• Regulatory & Quality Focused: maintains stringent data integrity and compliance.
• Executive Communicator: communicates complex issues to leadership.
• Builder & Scaler: evolves to a scalable organization for late-stage programs.

Skills

Statistical Programming leadership

Leadership & People Management

Regulatory submissions (NDA)

SDTM/ADaM

SAS

R experience

CDISC standards

Vendor/CRO management

Pharma/biotech experience

Budget & governance

Education

Bachelor's or Master's in Statistics/Biostatistics

Tools

SAS

R

Job description

The Senior Director of Statistical Programming is responsible for the strategic direction, operational execution, people leadership, and quality of the Statistical Programming function at LB Pharmaceuticals. Reporting to the VP of Biometrics, this leader will oversee statistical programming across Phase 2 and Phase 3 clinical programs, integrated analyses, and NDA submission activities.

This role will own and scale the function, lead internal employees and external programming vendors, manage portfolio-level resources, and establish the operating model required to support late-stage development and regulatory submissions.

The Senior Director is expected to spend approximately 30-40% of their time in hands-on technical programming and review and 60-70% leading the organization through people management, vendor oversight, portfolio planning, quality governance, and cross-functional leadership. The successful candidate will maintain deep technical credibility while operating primarily as a functional and organizational leader.

Key Responsibilities

Functional & Organizational Leadership

• Own the overall strategy, operating model, and delivery framework for Statistical Programming across the clinical development portfolio.
• Build and scale a high-performing organization of employees, contractors, and external programming partners.
• Establish organizational structure, staffing plans, career paths, performance expectations, and succession planning.
• Recruit, mentor, and retain high-caliber statistical programming talent.
• Allocate programming resources across competing study and submission priorities and proactively address capacity and delivery risks.
• Develop and manage the Statistical Programming functional budget in partnership with Biometrics and Finance.
• Establish KPIs and provide senior leadership with visibility into capacity, quality, timelines, and risks.

Technical Leadership

• Remain actively engaged in statistical programming, technical review, and complex problem-solving.
• Serve as senior technical lead for strategically important or high-risk Phase 2/3 studies and analyses.
• Develop and review SDTM and ADaM datasets, TLFs, programming specifications, and supporting documentation.
• Support implementation of SAPs in partnership with Biostatistics.
• Maintain expertise in SAS and relevant programming technologies, with R experience strongly preferred.
• Establish and maintain programming standards, reusable code, validation approaches, and efficient programming practices.
• Ensure technical work is accurate, reproducible, traceable, and inspection ready.

Regulatory Submission Leadership

• Lead the Statistical Programming strategy for NDA preparation and submission activities.
• Oversee programming deliverables for ISS, ISE, integrated analyses, submission datasets, TLFs, Define.xml, Reviewer’s Guide, and related documentation.
• Ensure compliance with CDISC, FDA, ICH, and applicable data standards and regulatory expectations.
• Partner with Regulatory Affairs, Biostatistics, Data Management, and Medical Writing on submission planning and execution.
• Provide programming expertise for Health Authority interactions and responses to regulatory questions.
• Ensure the function is inspection-ready and capable of supporting regulatory review.

Vendor & CRO Management

• Own the strategic management and governance of external statistical programming vendors and CROs.
• Establish appropriate internal versus external programming delivery models.
• Lead vendor selection, scope definition, resource planning, and performance management.
• Establish clear expectations for technical standards, timelines, quality, documentation, and escalation.
• Monitor vendor performance and resolve significant technical, quality, resource, and timeline issues.
• Ensure vendor deliverables meet LB Pharmaceuticals’ standards before acceptance.

Quality, Standards & Infrastructure

• Own the Statistical Programming quality and governance framework.
• Establish and maintain SOPs, work instructions, programming standards, validation requirements, and documentation practices.
• Ensure consistent application of CDISC standards, including SDTM, ADaM, and Define.xml.
• Establish quality metrics, risk-management processes, and continuous-improvement initiatives.
• Provide strategic direction for SAS/R environments, programming libraries, automation, version control, and other technology supporting the function.
• Ensure programming systems and processes are secure, compliant, scalable, and appropriately validated.

Cross-Functional Leadership

• Serve as the senior Statistical Programming partner to Biometrics, Biostatistics, Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing.
• Translate technical programming issues into clear business implications, risks, and recommendations for senior leadership.
• Align programming resources and timelines with clinical development milestones, database locks, analyses, and regulatory submissions.
• Represent Statistical Programming in cross-functional governance and study teams.

Qualifications

Required

• Bachelor's or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or related quantitative discipline.
• 12+ years of statistical programming experience in pharmaceutical, biotechnology, or related life sciences.
• 5+ years of progressive leadership experience, including management of statistical programming professionals and/or programming leaders.
• Extensive experience supporting Phase 2/3 clinical development and NDA submissions.
• Demonstrated expertise in regulatory-grade SDTM, ADaM, TLFs, Define.xml, integrated analyses, and submission documentation.
• Advanced SAS expertise; working knowledge of R strongly preferred.
• Deep knowledge of CDISC standards and FDA/ICH requirements for clinical trial data.
• Demonstrated experience managing CRO and vendor programming activities from a sponsor perspective.
• Proven ability to build and scale programming processes, teams, and infrastructure.
• Strong understanding of programming validation, quality control, traceability, and inspection readiness.
• Experience working effectively in a small or mid-size biotech environment with evolving priorities.

Preferred

• CNS experience, particularly schizophrenia, bipolar depression, MDD, or related indications.
• Familiarity with PANSS, MADRS, YMRS, CGI-S, and CGI-I.
• Experience building or scaling a sponsor-side Statistical Programming organization.
• Experience transitioning programming activities between internal and outsourced models.
• Experience with global clinical development programs and FDA interactions.
• Participation in PharmaSUG, CDISC, or other relevant industry organizations.

Leadership Competencies

Strategic Leader: Translates clinical and regulatory objectives into a clear Statistical Programming strategy and operating model.

People Developer: Builds, develops, and retains high-performing technical teams and future leaders.

Technical Authority: Maintains hands‑on programming expertise and provides senior technical oversight for complex and high-risk deliverables.

Portfolio Leader: Effectively prioritizes resources across studies, programs, vendors, and submission milestones.

Vendor Leader: Establishes accountable, high‑performing relationships with CROs and external programming partners.

Regulatory & Quality Focused: Maintains rigorous standards for data integrity, validation, traceability, compliance, and inspection readiness.

Executive Communicator: Clearly communicates complex technical issues, risks, and recommendations to senior leadership.

Builder & Scaler: Evolves the function from a developing capability into a mature, scalable organization capable of supporting multiple late-stage programs and regulatory submissions.

Values We Hope You Share

Purpose Driven

We are optimistic, focused and committed to delivering on our vision. We are hard-working, compliant, relentless and impatient in our pursuit of treatments. We set competitive company goals to significantly and positively impact the lives of our patients, employees and shareholders. We have a sense of urgency to every action we make.

Transparent

We trust each other and expect honest and open communication to enable good decision making. We are humble, genuine and direct. Words match our behaviors. We hold each other accountable. We embrace the tough conversations to achieve success.

Bold

We are courageous in our pursuit of excellence. Unafraid of risks. Unafraid of challenging assumptions. Unafraid of challenges. Unafraid of success.

Intelligent

We are curious, passionate and self-aware. We are agile, adaptable and seek diverse experience, knowledge, and skills to make informed, data-driven decisions. We anticipate the needs of others, and we adapt quickly to challenges and find solutions. We rely on our collective experiences to diligently develop, strategically plan and efficiently execute our vision.

Unified

We collaborate as we strive for excellence. We rely on each other, and we have each other’s backs. We encourage constructive feedback to continually improve. We support each other; we laugh together. We celebrate each other’s successes and band together in times of hardship. We foster and appreciate genuine relationships.

Our values underpin the employee experience at LB Pharmaceuticals. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

The posted salary range reflects the minimum to maximum base pay for this position in the specified location. Actual compensation may vary based on factors such as geographic location, experience, education, licensure requirements, and skill level, and will be determined at the time of offer. Base Salary Range: $271K-$285K.