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Associate Director Statistical Programming Jobs in Pittsburgh, PA

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

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Associate Director Statistical Programming information

See Pittsburgh, PA salary details

$149K

$272K

$334K

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

As of Jul 18, 2026, the average yearly pay for associate director statistical programming in Pittsburgh, PA is $271,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $252,900.00 and $313,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Director Statistical Programming, and why are they important?

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 of 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 of 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 Pittsburgh, PA? For Associate Director Statistical Programming jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Associate Director Statistical Programming jobs in Pittsburgh, PA look for? The top searched job categories for Associate Director Statistical Programming jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Associate Director Statistical Programming jobs? Cities near Pittsburgh, PA with the most Associate Director Statistical Programming job openings:
Infographic showing various Associate Director Statistical Programming job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $271,972 per year, or $130.8 per hour.

Associate Director of Assessment

Lincoln University of PA

Mckeesport, PA • On-site

Full-time

Posted 17 days ago


Job description

Job Title: Associate Director of Assessment
Classification: Professional
Division: Academic Affairs
Department: Institutional Effectiveness, Research, and Planning
Reports: Director of Institutional Effectiveness, Research, and Planning
FLSA Status: Exempt, Salaried
Position Summary:
The Associate Director of Assessment supports the development, coordination, and continuous improvement of institutional assessment practices across the university. This position works collaboratively with faculty, staff, and academic leadership to advance student learning outcomes assessment, periodic review, and data-informed decision-making in alignment with the university's mission and strategic priorities.
The Associate Director contributes to institutional effectiveness initiatives, including accreditation efforts, and plays a key role in fostering a culture of evidence-based planning, evaluation, and continuous improvement.
Essential Duties & Responsibilities
Support and help lead institution-wide student learning outcomes assessment efforts, promoting effective and sustainable practices for continuous improvement
Collaborate with faculty, staff, and leadership to design, implement, and improve assessment strategies for academic, administrative, and student success units
Provide consultation and assistance on assessment design, methodology, data collection, and analysis
Partner with faculty governance and campus stakeholders to support the assessment of student learning and continuous improvement
Develop, facilitate, and deliver workshops and training on assessment practices for academic, administrative, and student success units
Support and help coordinate the university's academic, administrative, and student success periodic review processes
Assist in maintaining and enhancing processes that align annual assessment and periodic review with institutional planning and improvement priorities
Collect, analyze, interpret, and report assessment data to inform decision-making and strategic planning
Maintain and support the use of assessment management systems and reporting tools
Develop reports, dashboards, and communication materials that translate data into actionable insights
Ensure the integrity, confidentiality, and appropriate use of institutional data
Contribute to accreditation-related activities, including documentation, reporting, and compliance efforts (e.g., Middle States Commission on Higher Education)
Support and ensure alignment of assessment and program review processes with accreditation standards
Support the faculty course evaluation process
Develop and maintain assessment resources, including manuals, guides, and training materials
Serve on institutional committees, as appropriate
Perform other duties as assigned
Education:
Bachelor's degree required; Master's degree preferred in Education, Psychology, Statistics, Data Science, or related field
Experience:
2-5 years of professional experience in higher education, institutional research, assessment, or a related area
Knowledge of assessment methodologies, including student learning outcomes assessment, survey research, and program evaluation
Knowledge of higher education accreditation, assessment, and continuous improvement practices
Qualifications:
Bachelor's degree required. Master's degree preferred in Education, Higher Education, Statistics, Data Science, or related field
A combination of education and experience may be taken into consideration based on the applicant's credentials
Experience in the methodologies of evaluation, student learning outcomes assessment, survey research
Familiarity with qualitative and quantitative research methods
Strong written, verbal, and visual communication skills, with the ability to translate complex data into clear, actionable information
Demonstrated ability to manage multiple projects and prorities in a collaborative environment
Strong organizational skills and attention to detail
Ability to work effectively both independently and as part of a team
Demonstrated commitment to ethical data use, confidentiality, and professional integrity
Experience with higher education accreditation processes (e.g., Middle States Commission on Higher Education)
Experience working with faculty and staff on assessment of student learning outcomes
Experience with data analysis and visualization tools (e.g., Excel, Access, Tableau, Power BI, or similar software) and familiarity with assessment management systems
Ability to establish and maintain effective, collegial working relationships with campus constituents along with the ability to work within a culturally diverse organization
Physical Demands:
Moderate lifting up to 20 pounds as frequently as needed to move objects; dexterity to write and manipulate computer keyboard and mouse; ability to hear and speak clearly; and body mobility to stoop, kneel, bend and reach.
Working Conditions:
Work is primarily performed in a university campus environment. Travel for work and travel for professional development is expected and will be supported where possible. The employee is subject to inside environmental conditions: protection from weather conditions but not necessarily from temperature changes.