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Causal Inference Jobs in Pennsylvania (NOW HIRING)

Geisinger Health

Director AI Evaluation

Danville, PA · On-site +1

Strong foundation in experimental design and causal inference, with judgment about which method fits which situation. * Hands-on experience designing and running model evaluation studies in real ...

The Pennsylvania State University

Experience with epidemiologic methods (e.g., regression modeling, survival analysis, causal inference) and survey design. * Subject Matter Knowledge :Strong understanding of concepts related to ...

Lincoln Financial

Lead Data Scientist

Radnor, PA · On-site +1

$1.2K/wk

Experience designing and analyzing experiments (A/B testing, causal inference, or similar). * Proficiency in Python, SQL, and standard ML/data science tooling. * Strong ability to communicate ...

Lincoln Financial

Lead Data Scientist

Radnor, PA · On-site +1

$120K/yr

Experience designing and analyzing experiments (A/B testing, causal inference, or similar). * Proficiency in Python, SQL, and standard ML/data science tooling. * Strong ability to communicate ...

The Pennsylvania State University

... causal inference. Relevant areas of research and teaching include, but are not limited to, the uses of AI by governments, politicians, or candidates; the effects of AI on political institutions ...

Lincoln Financial

Lead Data Scientist

Radnor, PA · On-site

$120K/yr

Experience designing and analyzing experiments (A/B testing, causal inference, or similar). * Proficiency in Python, SQL, and standard ML/data science tooling. * Strong ability to communicate ...

Novartis

Associate Director RWE Manager

Home, PA · On-site

Experience/knowledge in causal inference methods including propensity score matching, inverse probability of treatment weights. * Strong experience and excellent knowledge of observational and/or ...

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Causal Inference information

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$55.1K

$99.5K

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How much do causal inference jobs pay per year?

As of Sep 2, 2026, the average yearly pay for causal inference in Pennsylvania is $99,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $108,800.00 per year, depending on experience, location, and employer.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What are the most commonly searched types of Causal Inference jobs in Pennsylvania?

The most popular types of Causal Inference jobs in Pennsylvania are:

What are popular job titles related to Causal Inference jobs in Pennsylvania?

For Causal Inference jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Causal Inference jobs in Pennsylvania look for?

The top searched job categories for Causal Inference jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Causal Inference jobs?

Cities in Pennsylvania with the most Causal Inference job openings:

Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Pennsylvania as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $99,469 per year, or $47.8 per hour.

Senior Data Science Engineer Specialist - Data Scientist

Concurrent Technologies Corporation

Johnstown, PA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

SR DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST

Concurrent Technologies Corporation

Johnstown, PA or Telecommute

Minimum Clearance Required: N/A

Clearance Level Must Be Able to Obtain: N/A

Employee Background Check Required


Concurrent Technologies Corporation (CTC) an independent, nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.

Key Responsibilities:

  • Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
  • Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
  • Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
  • Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
  • Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
  • Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
  • Design and execute A/B tests and other experiments to measure the impact of different initiatives.
  • Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.


Basic Qualifications:

  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
  • 3-5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
  • Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
  • Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
  • Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
  • Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.


Preferred Qualifications:

  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
  • Experience with natural language processing (NLP) or other forms of text analysis.
  • Knowledge of experimental design and causal inference techniques.
  • Experience in research & development, government contracting, and/or highly regulated industry domains.


Why CTC?

  • Our teams at CTC are passionate and thrive on collaboration in a team environment.
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more!

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr/

Staffing Requisition: SR#2026-0087

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

#LI-PC

Employment Type: FULL_TIME

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