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Causal Inference Intern Jobs (NOW HIRING)

Expertise in causal inference with observational and experimental data. * Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras ...

As a Data Scientist intern, you will define key metrics, perform deep-dive analyses, and develop ... causal inference analysis. * Expertise in writing custom SQL and experience with database design.

As a Data Scientist intern, you will define key metrics, perform deep-dive analyses, and develop ... causal inference analysis. * Expertise in writing custom SQL and experience with database design.

As a Data Scientist intern, you will define key metrics, perform deep-dive analyses, and develop ... causal inference analysis. * Expertise in writing custom SQL and experience with database design.

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How much do causal inference intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for causal inference intern in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are Causal Inference Interns?

Causal Inference Interns are students or recent graduates who assist in research and analysis to determine cause-and-effect relationships within data, often in fields like economics, healthcare, or technology. They typically work under the supervision of experienced data scientists or researchers, applying statistical methods and experimental designs to distinguish correlation from causation. Their work helps organizations make more informed decisions by understanding the drivers behind observed outcomes. Causal Inference Interns often gain experience with statistical software, data analysis, and academic or industry research projects.

What types of projects do Causal Inference Interns typically work on, and how do these projects contribute to the organization's goals?

Causal Inference Interns often work on projects involving experimental design, data analysis, and the evaluation of interventions using statistical methods such as randomized controlled trials or natural experiments. These projects are critical for helping organizations determine the true impact of products, policies, or strategies, guiding data-driven decision-making. Interns typically collaborate closely with data scientists, researchers, and business stakeholders, gaining exposure to real-world challenges and methodologies. This experience not only develops technical skills but also provides insight into how research translates into actionable business outcomes.

What are the key skills and qualifications needed to thrive as a Causal Inference Intern, and why are they important?

To thrive as a Causal Inference Intern, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with programming languages such as Python or R, statistical software, and tools for causal analysis like propensity score matching or instrumental variables is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present complex findings clearly. These skills are essential for accurately identifying causal relationships and providing actionable insights in research or business contexts.
What are the most commonly searched types of Causal Inference jobs? The most popular types of Causal Inference jobs are:
Infographic showing various Causal Inference Intern job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)

2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)

Genentech, Inc.

South San Francisco, CA • On-site

$40 - $50/hr

Full-time

PTO

Posted 7 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 rated pharmaceutical


Job description

2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)
Department Summary
The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning or statistics, a passion for independent research and technical problem solving, and a proven ability to develop and implement ideas from research. Intern candidates should have a strong interest in decision theory and adaptive experimental design.
This internship position is located in South San Francisco, on site.
The Opportunity
  • Participate in cutting-edge research in active simulation-based inference.
  • Collaborate with cross-functional teams to identify problem settings shared by impactful applications.
  • Develop well-documented code to facilitate adoption of the method.
  • Present results in the form of a publication, for submission to internal and external scientific venues.

Program Highlights
  • Intensive 12-week, full-time (40 hours per week) paid internship.
  • Program start date is in September (Fall).
  • A stipend, based on location, will be provided to help alleviate costs associated with the internship.
  • Ownership of challenging and impactful business-critical projects.
  • Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)
Required Education:
  • Must be pursuing a PhD (enrolled student).

Required Majors:
  • Computer Science, Statistics, Applied Math, Physics, or related technical field.

Required skills:
  • Strong publication record and experience contributing to research communities, including journals and conferences like NeurIPS, AISTATS, ICML, and ICLR.
  • Strong software development skills in Python.
  • Ability to reason formally about explore-exploit tradeoffs in adaptive inference procedures.
  • Research experience in frameworks involving sequential decision making under uncertainty.

Preferred knowledge, skills, and qualifications:
  • General familiarity with simulation-based inference and causal inference is a plus.
  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $40.00-$50.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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