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Associate Director Statistical Programming Jobs in Illinois

Associate Director, Analytics The Associate Analytics Director will raise the bar across the agency ... business, engineering, or statistics/mathematics * Excellent written and verbal communication ...

Associate Director, Analytics The Associate Analytics Director will raise the bar across the agency ... business, engineering, or statistics/mathematics * Excellent written and verbal communication ...

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Associate Director Statistical Programming information

See Illinois salary details

$148.7K

$271.5K

$333.3K

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

As of Jul 24, 2026, the average yearly pay for associate director statistical programming in Illinois is $271,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $252,400.00 and $312,500.00 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 the most commonly searched types of Director Statistical Programming jobs in Illinois? The most popular types of Director Statistical Programming jobs in Illinois are:
What are popular job titles related to Associate Director Statistical Programming jobs in Illinois? For Associate Director Statistical Programming jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Associate Director Statistical Programming jobs in Illinois look for? The top searched job categories for Associate Director Statistical Programming jobs in Illinois are:
What cities in Illinois are hiring for Associate Director Statistical Programming jobs? Cities in Illinois with the most Associate Director Statistical Programming job openings:
Infographic showing various Associate Director Statistical Programming job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $271,470 per year, or $130.5 per hour.

Statistical Science Lead, Oncology Solid Tumor (Director Biostatistics)

Astellas Pharma, Inc.

Northbrook, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose and Scope:
The Global Statistical Lead (GSTATL) for Solid Tumor Oncology is a compound level leader within the Quantitative Science & Evidence Generation (QSEG) organization, accountable for driving the statistical and analytical strategy for a compound or indication across its full development lifecycle.
This position leads a cross-functional, integrated quantitative team supporting evidence generation and decision-making, with responsibility spanning clinical trial statistics, exploratory statistics, medical affairs statistics, real-world evidence (RWE), safety/pharmacovigilance (PV) statistics, statistical programming, biomarker statistics, and advanced analytics.
The role ensures consistency and scientific excellence across studies, indications, and evidence types-while enabling innovation in statistical methodology, clinical development optimization, and external engagement. The GSTATL plays a key role in regulatory and payer strategy, as well as internal governance and portfolio planning for solid tumor assets.
Responsibilities and Accountabilities:
  1. Strategic Statistical Leadership
  • Serve as the compound-level statistical lead for solid tumor oncology, responsible for end-to-end quantitative strategy supporting clinical development, evidence generation, and regulatory/payer interactions.
  • Lead development of integrated statistical strategies across all relevant study types and functions (e.g., e.g., phase 1b/2 signal-seeking, pivotal, exploratory, RWE, post-marketing).
  • Align statistical and analytical approaches with the target product profile (TPP), development strategy, and external evidence needs.
  1. Cross-Functional Quantitative Team Leadership
  • Lead and coordinate statistical and analytics contributions from a broad QSEG team, including:
  • Clinical trial biostatisticians
  • Exploratory oncology statisticians (e.g., tumor burden modeling, subgroup/signal detection)
  • Medical Affairs statisticians
  • Statistical programmers
  • Biomarker/statistical genetics experts in oncology
  • RWE analysts/statistical epidemiologists
  • Safety/PV statisticians
  • Advanced analytics and modeling specialists
  • Ensure scientific alignment, quality, and integration across all statistical contributions at the compound level.
  1. Regulatory and HTA Engagement
  • Represent Astellas on all statistical matters in global regulatory interactions (e.g., FDA, EMA, PMDA).
  • Guide preparation of statistical content for regulatory submissions, briefing packages, and health technology assessment (HTA) dossiers.
  • Lead the development of statistical components of payer evidence strategies, including indirect comparisons and external control methodologies.
  • Innovation and Methodological Excellence
  • Champion the use of oncology-appropriate innovations, including Bayesian designs, adaptive trial designs, external controls, tumor-agnostic approaches, and AI/ML tools to enhance study design and signal detection.
  • Promote exploratory data analysis, modeling, and simulation to support rapid development decisions in Solid Tumor trials.
  • Integrate clinical, biomarker, safety, and real-world evidence to drive cohesive, data-driven development and access strategies.
  1. Mentorship and Capability Development
  • Mentor statisticians and analytics professionals across QSEG, supporting both scientific development and career growth.
  • Share knowledge and best practices across study teams and therapeutic areas.
  • Contribute to internal training, methodology development, and talent pipeline initiatives.
  1. Governance and Cross-Functional Influence
  • Participate in global asset governance and development team meetings, influencing decisions with rigorous statistical insight.
  • Collaborate with Clinical Development, Medical Affairs, Regulatory, Market Access, and Commercial to ensure alignment on evidence planning.
  • Lead or contribute to internal initiatives, including standardization efforts, methodology forums, and innovation networks.

Required Qualifications:
  • Advanced degree (PhD, MD, MBA, or equivalent) in Oncology, Life Sciences, or a related field.
  • Minimum 8 years of experience in pharmaceutical R&D, external innovation, academic collaboration, or scientific partnering.
  • Strong understanding of oncology drug discovery, translational science, and modality platforms (e.g., next gen ADCs, engineered biologics, engineered small molecules).
  • Proven ability to engage with scientific leaders and navigate early-stage biotech and academic ecosystems.
  • Excellent communication skills with the ability to synthesize complex scientific information into strategic insights.
  • Prior experience in academic liaison, external innovation, or strategic scouting in pharma/biotech or venture ecosystems.
  • Familiarity with CI platforms, digital literature monitoring tools, and academic/biotech databases.
  • A strong network in academia or biotech focused on oncology.
  • Experience in competitive intelligence, scientific scouting, or innovation strategy within oncology.
  • Familiarity with academic-industry collaboration models and consortia-based innovation.
  • High digital literacy and comfort with landscape analytics, scientific intelligence platforms, and conference tracking tools.

Preferred Qualifications:
  • PhD (or MSc with equivalent experience) in Biostatistics, Statistics, or a related quantitative discipline.
  • Minimum of 10 years of experience in oncology clinical development, with proven leadership in statistical strategy and regulatory submissions.
  • Demonstrated experience leading statistical contributions at the compound level, including regulatory engagement and cross-functional integration.
  • Broad expertise across clinical trial design, exploratory oncology analytics, biomarker evaluation, RWE, and post-marketing study support.
  • Broad expertise across clinical trial statistics, exploratory statistics, Medical Affairs statistics, biomarker statistics, safety/PV statistics, real-world evidence (RWE) analytics, and statistical programming.
  • Strong understanding of the drug development lifecycle, regulatory requirements, and evidence generation for both approval and market access.
  • Ability to lead and influence cross-functional, global teams within a matrix environment.
  • Strong communication, collaboration, and stakeholder engagement skills across both technical and non-technical audiences.
  • Proficiency in statistical software (e.g., SAS, R) and familiarity with simulation tools and modern statistical methods.

Location and Working Environment
This position is based in Northbrook, IL. Remote work from anywhere in the US is available.
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.
What awaits you at Astellas?
  • Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide. Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
  • Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
  • A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as 'One Astellas', working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$170,450 - $243,500 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)
Benefits:
  • Medical, Dental and Vision Insurance
  • Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
  • 401(k) match and annual company contribution
  • Company paid life insurance
  • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
  • Long Term Incentive Plan for eligible positions
  • Company fleet vehicle for eligible positions
  • Referral bonus program

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