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Causal Inference Machine Learning Postdoctoral Jobs in New Jersey

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Hands on experience in causal inference techniques to measure the impact of business decisions.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

  • Medical

  • Retirement

Experience applying machine learning techniques, including Regression, Clustering, Probability ... Hands on experience in causal inference techniques to measure the impact of business decisions.

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... as machine learning and multivariate decoding of neuroimaging data to predict subjective ... Inference ( ). Together, CAHBIR, the CCNP, and a broad network of Rutgers-affiliated clinical ...

... and machine learning methods, such as regression, classification, forecasting and causal inference is required * Bachelor's or Master's degree in Computer Science, Data Science, Artificial ...

Data Analyst FP&A

Montvale, NJ · On-site

$86 - $111/hr

... and machine learning methods, such as regression, classification, forecasting and causal inference is required * Bachelor's or Master's degree in Computer Science, Data Science, Artificial ...

Postdoctoral Associate

Piscataway, NJ · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... machine learning, optimization, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting ...

Senior Data Scientist

Camden, NJ · On-site

$109 - $150/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and unsupervised learning, forecasting, experimentation, causal inference, and optimization ... Experience developing and deploying machine learning solutions using libraries and frameworks such ...

New

(USA) Principal, Data Scientist

Perth Amboy, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

East Orange, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132 - $264/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Kearny, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Linden, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Passaic, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Hoboken, NJ

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

Showing results 21-40

Causal Inference Machine Learning Postdoctoral information

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?

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.

Is it difficult to get a causal inference machine learning postdoctoral position?

Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in New Jersey?

For Causal Inference Machine Learning Postdoctoral jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in New Jersey look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in New Jersey are:

What cities in New Jersey are hiring for Causal Inference Machine Learning Postdoctoral jobs?

Cities in New Jersey with the most Causal Inference Machine Learning Postdoctoral job openings:

Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH)

Rutgers University

New Brunswick, NJ • On-site

$64K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 26 days ago


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Job description

Position Details
Position Information
Recruitment/Posting Title
Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH)
Department
Institute for Health, Health C
Salary Details
A minimum of $64,000 is budgeted for this position
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits (when applicable)
  • Life insurance coverage
  • Employee discount programs

Posting Summary
Rutgers, the State University of New Jersey, is seeking a Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH) within the Institute for Health, Health Care Policy and Aging Research (IFH). The CCHH Postdoctoral Associate position will work with an established Principal Investigator with a track record of publications and supportive mentorship. The PI and applicant will work together to achieve research and career goals in a supportive environment. The position provides opportunities to work on various quantitative or qualitative research and academic projects focused on climate and health outcomes, health service use and access across the life span, community health, health promotion/prevention/equity, healthcare sustainability/resilience, or other topic areas related to the mission of the Center based on the available funding sources. Projects include examining multi-level drivers of health and other exposures of interest and disparities therein. The postdoctoral research scientist will have the opportunity to explore additional research questions for their career development.
The Postdoctoral Associate may analyze and interpret data on health outcomes, treatment need, and/or utilization, as well as health and social drivers, from a variety of administrative and population data sources. They will contribute to the development of peer-reviewed manuscripts, scientific presentations, and grants. They will work collaboratively in teams and engage in other activities as needed. There will also be opportunities to pursue independent research and career development (e.g., grant writing training) in health services and climate-related studies.
Position Status
Full Time
Posting Number
26FA0629
Posting Open Date
Posting Close Date
12/23/2026
Qualifications
Minimum Education and Experience
  • A doctoral degree in epidemiology, social and behavioral health sciences, biostatistics, or a related field.
  • A record of peer-reviewed publications.
  • Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential.

Certifications/Licenses
Required Knowledge, Skills, and Abilities
  • Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods.
  • Understanding of HIPAA regulations and/or Human Subjects regulations for human subjects' research.
  • Excellent communication skills (spoken and written).
  • Ability to collaborate effectively with multidisciplinary teams in a thoughtful, ethical, equitable manner.

Preferred Qualifications
  • Strong interest in studying how environmental factors affect disease risk, medication utilization, and patient vulnerability.
  • Experience conducting research on health outcomes and environmental data.
  • Experience in qualitative research or community engagement.

Equipment Utilized
  • Computer literate with proficiency in statistical and analytical software including R (SAS, Python, Stata, NVivo, or Dedoose a plus).

Physical Demands and Work Environment
  • Standard academic and office research environment. Requires the ability to work collaboratively at a computer terminal for extended periods and participate in research team meetings.

Overview
The Center for Climate, Health, and Healthcare is on a mission to improve the health and healthcare of people and communities in New Jersey, nationally, and globally by combatting the climate health crisis through research, education, and community-oriented climate action. This groundbreaking center is a collaboration between Rutgers Health and RWJBarnabas Health, physically based within the Rutgers Institute for Health, Health Care Policy, and Aging Research.
With leadership from Rutgers Health and RWJBarnabas Health and partnerships throughout the state and beyond, the Center for Climate, Health, and Healthcare is empowered to engage in research, education, and programmatic activities to address climate change specifically from the perspectives of health and healthcare.
Statement
Posting Details
Special Instructions to Applicants
Quick Link to Posting
https://jobs.rutgers.edu/postings/277473
Campus
Rutgers University-New Brunswick
Home Location Campus
Rutgers University - New Brunswick
City
New Brunswick
State
NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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