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Causal Inference Jobs in New Jersey (NOW HIRING)

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

  • Medical

  • Retirement

Hands on experience in causal inference techniques to measure the impact of business decisions. SKILLS: * Experience visualizing and presenting data‑driven insights using Power BI and Tableau.

(USA) Principal, Data Scientist

Perth Amboy, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

... causal inference is required * Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or another ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

(USA) Principal, Data Scientist

Passaic, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

(USA) Principal, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

(USA) Principal, Data Scientist

West New York, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.

... causal inference is required * Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or another ...

Showing results 21-40

Causal Inference information

See New Jersey salary details

$55.8K

$100.7K

$137.6K

How much do causal inference jobs pay per year?

As of Aug 12, 2026, the average yearly pay for causal inference in New Jersey is $100,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $110,200.00 per year, depending on experience, location, and employer.

Is causal inference still relevant?

Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.

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 jobs use causal inference?

Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.

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 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 are the most commonly searched types of Causal Inference jobs in New Jersey? The most popular types of Causal Inference jobs in New Jersey are:
What are popular job titles related to Causal Inference jobs in New Jersey? For Causal Inference jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in New Jersey look for? The top searched job categories for Causal Inference jobs in New Jersey are:
Infographic showing various Causal Inference job openings in New Jersey as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $100,743 per year, or $48.4 per hour.

Director, Global Epidemiology & Real-World Evidence

Shionogi Inc.

Florham Park, NJ

$230K - $265K/yr

Full-time

Re-posted 12 days ago


Job description

Overview

The Director, Global Epidemiology & Real-World Evidence leads epidemiology and RWE activities across assigned therapeutic areas, with a strong focus on the U.S., in alignment with global strategy. This role provides scientific and methodological leadership for observational research and evidence generation, partners cross-functionally to integrate RWE into development and medical strategies, and oversees key vendor relationships and external collaborations. The Director also supports functional excellence, team development, and the application of robust epidemiologic methods to advance scientific and business objectives.

Responsibilities
  • Lead epidemiology and RWE strategy for assigned therapeutic areas, with a strong focus on the U.S., in alignment with broader functional priorities.
  • Provide expertise in epidemiologic methods, observational study design, causal inference, and database strategy.
  • Support implementation of global RWE strategy in the U.S. and collaborate with regional colleagues to promote alignment across geographies.
  • Manage RWE budgets and oversee vendor partnerships, database utilisation, and external research collaborations within assigned areas.
  • Provide epidemiology and RWE input to cross-functional decisions related to study design, evidence planning, regulatory submissions, and payer materials.
  • Represent the function in selected external engagements with academic partners, vendors, and scientific forums, as appropriate.
  • Contribute to methodological innovation and continuous improvement in epidemiology and RWE practices.
  • Manage or mentor scientific staff and consultants, and support development across the epidemiology function.
  • Support functional capabilities by contributing to processes, SOPs, systems, and best practices.
  • Perform other duties as assigned.

Minimum Qualifications

  • PhD in Epidemiology, Biostatistics, or a related field; or MD/PharmD with advanced training in epidemiology.
  • Minimum of 8 years of experience in the pharmaceutical or biotechnology industry, including substantial experience in epidemiology and RWE programmes.
  • Demonstrated expertise in epidemiologic methods, database strategy, and observational research design.
  • Experience supporting regulatory interactions, evidence planning, and external scientific engagement.
  • Experience managing or mentoring staff and working effectively in matrixed environments.
  • Strong communication and collaboration skills across technical and non-technical audiences.

Core Competencies

  • Ability to lead RWE strategy within assigned areas while aligning with broader functional goals.
  • Strong methodological expertise and sound scientific judgement.
  • Demonstrated ability to manage budgets and resources effectively within the scope of responsibility.
  • Ability to work effectively with internal stakeholders and represent the function externally, as needed.
  • Commitment to team development and contribution to functional standards and capabilities.
  • Commitment to high-quality methods and continuous improvement in evidence generation practices.
  • Ability and willingness to travel approximately 20% of the year both domestically and internationally.

Additional Information

The base salary range for this full-time position is $230,000 - $265,000. Individual pay is determined by several factors, which include but are not limited to: job-related skills, experience, and relevant education or training. The range does not include the comprehensive benefits, bonus, long-term incentive, applicable allowances, or any additional compensation that may be associated with this role

EEO

Shionogi Inc. is an equal opportunity employer supporting individuals with disabilities and veterans. All qualified applicants will receive equal consideration for employment opportunities based on valid job requirements without regard to race, color, religion, sex (including pregnancy), marital status, national origin, age, ancestry, citizenship, disability, genetic information, status as a disabled veteran, a recently separated veteran, Active Duty Wartime or Campaign Badge Veterans, and Armed Forces Service Medal Veterans, or any other characteristic protected by applicable law. It is the policy of Shionogi Inc. to undertake affirmative action for protected veterans and individuals with disabilities in compliance with all federal, state, and local requirements to recruit a diverse pool of protected veteran and individuals with disabilities applicants and to ensure that our employment practices are, in fact, non-discriminatory.

If you are qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request accommodations by calling 973-307-3550 or by sending an email to ShionogiHR@shionogi.com.

Employment Type: FULL_TIME

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About Shionogi

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

201 - 500 Employees

Headquarters location

Florham Park, NJ, US

Year founded

2001