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Statistical Programming Jobs in Philadelphia, PA

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Statistical Programming information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

How much do statistical programming jobs pay per year?

As of Aug 26, 2026, the average yearly pay for statistical programming in Philadelphia, PA is $148,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $161,500.00 per year, depending on experience, location, and employer.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Philadelphia, PA?

The most popular types of Statistical Programming jobs in Philadelphia, PA are:

What are popular job titles related to Statistical Programming jobs in Philadelphia, PA?

For Statistical Programming jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Statistical Programming jobs in Philadelphia, PA look for?

The top searched job categories for Statistical Programming jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Statistical Programming jobs?

Cities near Philadelphia, PA with the most Statistical Programming job openings:

Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,630 per year, or $71.5 per hour.

Senior Director, Head of Statistical Programming

Malvern, PA • Remote

Uniquity Bio
See more jobs at Uniquity Bioexternal

Full-time

Re-posted 25 days ago

Job description

Uniquity Bio is a clinical-stage biotechnology company committed to putting science and patients first. We exist to develop transformative new medicines for immune-mediated diseases, and we’re looking for bright-minded professionals driven by a desire to advance science and make a difference for people in need. Our lead asset, solrikitug, is a highly-potent TSLP inhibitor now in Phase 2 clinical trials for asthma, chronic obstructive pulmonary disease (COPD), and eosinophilic esophagitis (EoE) indications. 

Join us in building an organization where people and science thrive together. You’ll have the opportunity to make a meaningful impact while working alongside a talented, agile team in an environment where ideas move quickly, colleagues are trusted, and quality remains a cornerstone.


Position Overview

Uniquity Bio is seeking a highly experienced and strategic Senior Director, Head of Statistical Programming to lead and scale the Statistical Programming function within our growing Biostatistics and Data Sciences organization. This individual will provide both strategic and operational leadership across clinical development programs and will be responsible for the delivery, quality, and integrity of statistical programming outputs supporting clinical trials, regulatory submissions, publications, and internal decision-making.

The Senior Director will play a critical role in establishing programming standards, building scalable infrastructure, and driving operational excellence across all programming activities. This position requires deep technical expertise, strong leadership capabilities, and the ability to collaborate effectively within a dynamic, cross-functional biotechnology environment.

The ideal candidate is a hands-on leader with extensive experience supporting regulatory submissions, managing external vendors and CROs, and building high-performing programming organizations within a fast-paced clinical-stage biotech setting. 



Key Responsibilities

  • Define and lead the vision, standards, operational strategy, and long-term scalability roadmap for the Statistical Programming function
  • Build, mentor, and develop internal statistical programming capabilities through strategic hiring, coaching, resource planning, and team leadership
  • Oversee the development, validation, review, and delivery of SDTM datasets, ADaM datasets, tables, listings, figures (TLFs), and related programming deliverables across clinical development programs
  • Ensure all programming deliverables meet internal quality standards, CDISC compliance requirements, and applicable regulatory expectations for global submissions
  • Provide technical and operational oversight for programming activities supporting clinical trials, regulatory submissions, publications, safety analyses, and ad hoc data requests
  • Drive programming strategy and readiness for regulatory interactions and submissions, including FDA, EMA, PMDA, NDA, BLA, and MAA activities
  • Establish, maintain, and optimize programming processes, standards, SOPs, macros, validation frameworks, and data governance workflows to improve consistency, efficiency, scalability, and inspection readiness
  • Lead and oversee relationships with external CROs, statistical programming vendors, and independent contractors, including scope management, quality oversight, timeline accountability, and budget management
  • Partner closely with Biostatistics, Data Management, Clinical Operations, Medical Writing, Regulatory Affairs, and Clinical Development teams to ensure alignment on study timelines, deliverables, and data quality expectations
  • Contribute to submission strategy discussions, inspection readiness activities, and responses to regulatory questions related to programming deliverables and data standards
  • Evaluate and implement innovative technologies, tools, and automation opportunities to enhance programming efficiency and reproducibility
  • Support organizational growth initiatives and contribute to broader departmental strategy and operational planning efforts


Qualifications

  • Bachelor’s, Master’s, or PhD in Statistics, Biostatistics, Computer Science, Mathematics, or related quantitative discipline
  • Typically, 12+ years of statistical programming experience within the biotechnology, pharmaceutical, or CRO industry, including leadership experience supporting clinical development programs
  • Demonstrated experience leading statistical programming activities across multiple phases of clinical development, including late-stage studies and regulatory submissions
  • Deep expertise in CDISC standards, including SDTM and ADaM implementation
  • Expert-level proficiency in SAS required; familiarity with R and/or Python strongly preferred
  • Strong understanding of clinical trial processes, regulatory requirements, and industry best practices related to statistical programming and submission deliverables
  • Proven experience managing external CROs, vendors, and outsourced programming models within a matrixed environment
  • Demonstrated ability to establish scalable programming standards, processes, and operational infrastructure within a growing organization
  • Prior experience supporting FDA, EMA, PMDA, NDA, BLA, and/or MAA submissions strongly preferred
  • Excellent leadership, communication, collaboration, and organizational skills with the ability to influence across cross-functional teams and executive stakeholders
  • Ability to thrive in a fast-paced, highly collaborative, and evolving biotechnology environment


Work Environment

At Uniquity Bio, we believe every team member has an impact on the patients we aim to serve. We are a nimble team with a rigorous approach to drug development that requires collaboration and transparency to maximize value, reduce risk, and deliver meaningful, best-in-class products. We are looking for self-starters who enjoy working in a complex, collaborative environment and are motivated to bring critical new medicines to people around the world. We are a small, fast-paced organization with a talented team of in-house employees and external consultants. Candidates must be self-motivated and able to work both independently and collaboratively to achieve success and impact in our dynamic work environment. 

This is a U.S.-based position. Team members who live within commuting distance of our Malvern, PA or San Diego, CA office locations are expected to spend time in the office, and remote employees are expected to travel to an office on a regular basis. Specific details for both local and remote staff will be discussed and agreed upon on a case-by-case basis with the employee’s manager. Business travel may be required depending upon the specific needs of the position. 

The above job description is not intended to be all-inclusive. Requirements of the position may change from time to time based on business needs.


Uniquity Bio is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.



  

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