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Computer Science Statistics Jobs in Pennsylvania

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Computer Science Statistics information

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are the most commonly searched types of Computer Science Statistics jobs in Pennsylvania?

The most popular types of Computer Science Statistics jobs in Pennsylvania are:

What are popular job titles related to Computer Science Statistics jobs in Pennsylvania?

For Computer Science Statistics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Pennsylvania look for?

The top searched job categories for Computer Science Statistics jobs in Pennsylvania are:

Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Senior Scientist, Statistical Programming

MSD Malaysia

North Wales, PA • On-site

$80 - $100/hr

Other

Posted 17 days ago

Job description

Responsibilities

Support statistical programming activities for clinical trial data analysis. Develop SAS programs to create and validate analysis datasets (ADaM) and summaries (TFLs) in support of Clinical Study Reports and regulatory submissions (FDA, EMA, etc.). Collaborate with biostatisticians, project leads, and other stakeholders in ensuring project plans are executed efficiently with timely and high-quality deliverables. Develop effective study and report programming and validation utilizing global CDISC, ICH, and Therapeutic Areas standards and following departmental SOPs and good programming practices. Maintain and manage a project plan including resource forecasting. Coordinate activities of a global programming team. Participate in departmental strategic initiative teams.

Requirements
  • Master’s degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 3 years of experience in the position offered or a related role; OR a Bachelor's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 5 years of experience in the position offered or a related role.
  • Must have 3 years of experience with all the following: Developing analysis and reporting deliverables for Phase 2 and 3 clinical trials, including creation of analysis datasets, tables, graphics, and listings, for planned and unplanned analyses.
  • SAS programming in a clinical trial environment including data step and procedures, macros, graphics, ODS.
  • Interpreting and executing on clinical trial statistical analysis plans.
  • Utilizing CDISC standards to create ADaM and SDTM datasets.
  • Designing and developing complex programming algorithms.
  • Ensuring process compliance and deliverable quality.
Required Skills
  • Preferred Skills:
Equal Employment Opportunity Statement

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement.

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