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Summer Causal Inference Jobs in California (NOW HIRING)

Intern, Biostatistics

Redwood City, CA · Hybrid

$18.25 - $24.75/hr

The Biostatistics summer intern will work for 8-12 weeks under the supervision of experienced ... Familiarity with advanced statistical methods including ML, causal inference, Bayesian statistics ...

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... or spring/summer 2027 * Experience with a scientific computing language (such as Python, R, etc ...

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... or spring/summer 2027 * Experience with a scientific computing language (such as Python, R, etc ...

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... summer 2027 * Experience with a scientific computing language (such as Python, R, etc) and SQL. We ...

... g., causal inference or large language models) across multiple relevant use cases. This role is ... This 8 week summer internship runs from June 22 through August 14, with a possible extension based ...

... g., causal inference or large language models) across multiple relevant use cases. This role is ... This 8 week summer internship runs from June 22 through August 14, with a possible extension based ...

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Summer Causal Inference information

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

To thrive as a Summer Causal Inference Researcher, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical programming languages like R or Python and experience using tools such as STATA or MATLAB are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These skills and qualities are crucial for accurately identifying causal relationships in data and effectively collaborating within interdisciplinary research teams.

What types of projects and methodologies can I expect to work on as a Summer Causal Inference intern?

As a Summer Causal Inference intern, you'll typically work on projects involving the design and analysis of experiments or observational studies to determine cause-and-effect relationships. You may use methodologies such as propensity score matching, difference-in-differences, instrumental variables, or regression discontinuity designs. Collaboration with data scientists, economists, and business stakeholders is common, as you'll help translate findings into actionable insights. Expect to handle real-world datasets and communicate your results through presentations or reports, gaining valuable experience in both technical and applied aspects of causal inference.

What is a Summer Causal Inference position?

A Summer Causal Inference position is typically a short-term research or internship role focused on applying statistical methods to determine causal relationships between variables, often in fields like economics, public policy, or data science. Individuals in this position work on projects that require designing experiments or analyzing observational data to infer causality rather than just correlation. The role is ideal for students or early-career professionals seeking hands-on experience in causal inference techniques during the summer months.
What are the most commonly searched types of Causal Inference jobs in California? The most popular types of Causal Inference jobs in California are:
What cities in California are hiring for Summer Causal Inference jobs? Cities in California with the most Summer Causal Inference job openings:
Remote Health Economics & Outcomes Intern Causal AI

Remote Health Economics & Outcomes Intern Causal AI

Arine

San Francisco, CA • Remote

$25 - $30/hr

Internship

Posted 28 days ago


Job description

Arine is seeking a Health Economics and Outcomes Intern for the summer within the HEOR Team. This internship involves supporting causal analysis and utilizing AI tools for data analysis. Candidates should be current graduate students or recent graduates in a quantitative field like Statistics or Economics, with knowledge of causal inference methods and coding skills in SQL, Python, or R.

This position is remote, offering a competitive compensation of $25–30 per hour and requires eligibility to work in the United States. #J-18808-Ljbffr


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About Arine

Sourced by ZipRecruiter

Industry

Health care and social assistance

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2018

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