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Causal Inference Machine Learning Postdoctoral Jobs in Cambridge, MA

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

... machine learning and advanced statistical methods including supervised/unsupervised learning, ensemble forecasting, causal inference, and predictive modeling to pharmaceutical or life sciences data ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... Strong background in one or more of the following: reinforcement learning, causal inference, LLM ...

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

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Causal Inference Machine Learning Postdoctoral information

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$38.8K

$59.3K

$66.7K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Jul 14, 2026, the average yearly pay for causal inference machine learning postdoctoral in Cambridge, MA is $59,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $61,800.00 per year, depending on experience, location, and employer.

What is a Causal Inference Machine Learning Postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Cambridge, MA? For Causal Inference Machine Learning Postdoctoral jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Cambridge, MA look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities near Cambridge, MA with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Cambridge, MA as of July 2026, with employment types broken down into 4% Locum Tenens, 84% Full Time, 11% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $59,265 per year, or $28.5 per hour.
Postdoctoral Associate

Postdoctoral Associate

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 2 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

38th of 553 rated colleges and universities

Job description

Description
The MIT Sloan School of Management and Social and Ethical Responsibilities of Computing (SERC) in the Schwarzman School of Computing jointly seek to hire a Postdoctoral Associate, beginning in Summer 2025 to lead collaborative projects on generative AI and reasoning,
The appointment is for one year starting Summer 2025 (flexible start date), with the possibility of renewal for a second year. The Postdoctoral Associate should expect to work from Cambridge, MA for the duration of the appointment, with some potential for travel. The position is eligible for MIT benefits.
The selected candidate will provide supervision and guidance to students, and researchers while engaging in activities that support the general mission of MIT Sloan and SERC. The Postdoctoral Associate will also collaborate with other post docs, SERC scholars, and instructors.
About Social and Ethical Responsibilities of Computing (SERC)
The Social and Ethical Responsibilities of Computing (SERC) is facilitating the development of responsible "habits of mind and action" for those who create and deploy computing technologies and foster the creation of technologies in the public interest. Through a teaching, research and engagement framework, SERC is working to train students, encourage research to assess the broad challenges and opportunities associated with computing, and improve design, policy, implementation, and impacts. For more details about this cross-cutting program, please see our website.
Principal Duties and Responsibilities:
The postdoc's time will be allotted as such:
o 50% towards ongoing and new applied research projects under the supervision of Professors Sertac Karaman and Eric So;
o Approximately 25% of time allotted for independent research.
o Approximately 20 of time allotted for participating in SERC's community-building activities and programming, including to lead a SERC Scholar Group throughout the academic year.
o Additional responsibilities as determined by organizational needs.
Supervision Received:
The position works closely with Professors Sertac Karaman and Eric So. Position requires ability to perform with minimal supervision.
Supervision Exercised:
No direct reports. May monitor the academic work of research associates and graduate research assistants involved in specific projects.
Qualifications
1. A Ph.D. in Computer Science or other related field required.
2. Advanced quantitative methods training with expertise in experiments, identification, and causal inference required. Qualitative fieldwork experience is also preferred.
3. Proven record of academic excellence, research achievement and publication that contributes to the study of the above areas.
4. Attention to detail; self-motivation and ability to work on projects independently; proven ability to handle multiple projects concurrently and meet deadlines.
5. Demonstrated proficiency in Python and willingness to contribute to open-source.
Application Instructions
Please provide the following as compiled in one attachment:
1. Cover letter
2. CV
3. Research statement of primary research interests including ongoing and planned projects (3-5 pages)
Shortlisted candidates will be asked to provide three letters of reference.
Priority review will be given to application materials submitted through careers.mit.edu.

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