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Associate Director Statistical Programming Jobs in Wake Forest, NC

NCBiotech

Associate Director, Medical Writing

Durham, NC · On-site

$140 - $200/hr

The Associate Director is a key leadership position responsible for determining and driving the ... design, data capture and statistical analysis plan design will affect downstream documents.

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All JobsAssociate Statistical Programming JobsAssociate Director Statistical Programming JobsAssociate Director Statistical Programming Jobs in Wake Forest, NC

Associate Director Statistical Programming information

See Wake Forest, NC salary details

$131.7K

$240.3K

$295.1K

How much do associate director statistical programming jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate director statistical programming in Wake Forest, NC is $240,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $223,400.00 and $276,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate director statistical programming?

To thrive as an Associate Director Statistical Programming, you need expertise in statistical programming, clinical trial data standards, and a degree in statistics, mathematics, or a related field, often with several years of experience in the pharmaceutical or biotechnology industry. Proficiency in programming languages such as SAS and R, knowledge of CDISC standards (SDTM, ADaM), and familiarity with regulatory submission requirements are typically required. Strong leadership, project management, and communication skills are vital for guiding teams and collaborating with cross-functional partners. These skills and qualities ensure the delivery of high-quality, compliant statistical outputs that support clinical development and regulatory approval.

What does an associate director statistical programming do?

An Associate Director of Statistical Programming leads teams responsible for the design, development, and validation of statistical programs used in the analysis of clinical trial data. They oversee the creation of datasets, tables, listings, and figures that support regulatory submissions and scientific publications. In addition to technical expertise, this role involves managing timelines, ensuring compliance with regulatory standards, and collaborating with cross-functional teams such as biostatistics, data management, and clinical operations.

How does an associate director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech setting?

As an Associate Director of Statistical Programming, you will work closely with biostatisticians, clinical data managers, and regulatory affairs professionals to ensure that statistical analyses and data outputs meet project and regulatory requirements. You’ll often lead programming teams, coordinate timelines, and help translate statistical analysis plans into executable code. Regular meetings and clear communication are key, as you’ll be expected to provide technical guidance and ensure data integrity across multiple studies or programs. This role often requires balancing hands-on programming with strategic leadership and mentorship responsibilities.

What is the difference between Associate Director Statistical Programming vs Statistical Programmer?

AspectAssociate Director Statistical ProgrammingStatistical Programmer
Required CredentialsBachelor's or Master's in Biostatistics, Statistics, or related field; experience in clinical trial programmingBachelor's or Master's in similar fields; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms programming tasks, supports project teams, executes statistical analyses
Employer & Industry UsagePharmaceutical and biotech companies, clinical research organizationsPharmaceutical companies, CROs, biotech firms

The Associate Director Statistical Programming typically oversees programming teams and manages project deliverables, requiring leadership skills and extensive experience. In contrast, the Statistical Programmer focuses on executing programming tasks under supervision. Both roles are essential in clinical research, but the Associate Director holds more managerial responsibilities and strategic oversight.

What are popular job titles related to Associate Director Statistical Programming jobs in Wake Forest, NC? For Associate Director Statistical Programming jobs in Wake Forest, NC, the most frequently searched job titles are:
What job categories do people searching Associate Director Statistical Programming jobs in Wake Forest, NC look for? The top searched job categories for Associate Director Statistical Programming jobs in Wake Forest, NC are:
What cities near Wake Forest, NC are hiring for Associate Director Statistical Programming jobs? Cities near Wake Forest, NC with the most Associate Director Statistical Programming job openings:
Associate Director Statistical Programming jobs near you
Infographic showing various Associate Director Statistical Programming job openings in Wake Forest, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $240,284 per year, or $115.5 per hour.

Principal Statistical Methodologist, Raleigh, NC

UCB

Raleigh, NC • On-site

Full-time

Posted 16 days ago

Job description

Make your mark for patients
We are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in any of our Braine l'Alleud (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.
About the role
You will help shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine-learning methods to bear on real R&D decisions. You will develop and apply advanced data-driven and model-based approaches-drawing on statistics, machine learning, and AI-translate them into robust, reusable tools, and partner across functions to put them to work where they impact drug development decision making. You will also contribute to the group's scientific profile through publications and external collaboration.
Who you will work with
You will be working in a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values curiosity and problem solving, practical innovation, clear communication, and collaboration, bringing novel quantitative and computational approaches into real study decisions and sharing learnings with the wider scientific community.
What you will do
  • Develop and apply advanced computational and statistical methods, including machine learning, AI, and scenario evaluation using modern simulation approaches, to inform design, analysis, and decision-making across development.
  • Build robust, well-engineered, reusable tools and workflows that bring these methods into routine use, with attention to reproducibility and software quality.
  • Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches.
  • Partner with statisticians and cross-functional colleagues to identify where computational and data-driven methods add the most leverage, and translate complex approaches into clear insight for technical and non-technical audiences.
  • Contribute to internal capability building by sharing tools, code, and methods across the team and wider organization.
  • Contribute to the group's external profile through scientific publications, conference presentations, and participation in cross-industry initiatives and working groups.

Interested? Here is what we are looking for
  • Doctoral degree in statistics, biostatistics, mathematics, computer science with a strong quantitative/statistical component, or a closely related discipline with a solid grounding in statistical inference and uncertainty.
  • 3+ years of experience within the pharmaceutical industry. Experience in advanced computational methodology for clinical development (early to late stage) is an advantage. Direct entry may be considered.
  • Strong, multi-language scientific programming skills (R and Python preferred; software-engineering practices such as version control, testing, and reproducible workflows a clear advantage).
  • Demonstrated expertise in machine learning and/or AI methods, with hands-on experience applying them to real problems; experience with large language models, causal inference, synthetic data, or digital-twin/simulation approaches is a strong advantage.
  • Sound knowledge of ICH guidelines and understanding of regulatory requirements from major health authorities.
  • Ability to work effectively with autonomy, manage multiple priorities, and deliver timely, high-quality outputs.
  • Clear written and spoken communication in English, including the ability to explain technical concepts to non-technical audiences.

Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.
Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Requisition ID: 93650
Recruiter: Kevin Ross
Hiring Manager: Baldur Magnusson
Talent Partner: Natacha Tassier
Job Level: MM II
Please consult HRAnswers for more information on job levels.

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