The role involves leading research projects, mentoring trainees, and collaborating with ... or causal inference Company : Stanford University is a teaching and research university that ...
The role involves leading research projects, mentoring trainees, and collaborating with ... or causal inference Company : Stanford University is a teaching and research university that ...
Biostatistician 2
Stanford, CA · On-site
$115K - $134K/yr
Application of causal inference methods such as entropy balancing, instrumental variables ... junior analysts, and trainees in medicine, economics, and public health studies Constructing ...
Biostatistician 2
Stanford, CA · On-site
$115K - $134K/yr
Application of causal inference methods such as entropy balancing, instrumental variables ... junior analysts, and trainees in medicine, economics, and public health studies Constructing ...
Biostatistician 2
Stanford, CA · On-site
$115K - $134K/yr
The ideal candidate will have interests in causal inference, ethical implementation of machine ... and trainees in medicine, economics, and public health studies • Constructing complex data ...
Biostatistician 2
Stanford, CA · On-site
$115K - $134K/yr
The ideal candidate will have interests in causal inference, ethical implementation of machine ... and trainees in medicine, economics, and public health studies • Constructing complex data ...
A mutual fit between the advisor and the trainee is critical to ensuring that your time in the lab ... causal inference techniques in human genetics (e.g., Mendelian Randomization) Application ...
A mutual fit between the advisor and the trainee is critical to ensuring that your time in the lab ... causal inference techniques in human genetics (e.g., Mendelian Randomization) Application ...
Postdoctoral Scholar in the UCLA Tanigawa Lab
Los Angeles, CA · On-site
$69K/yr
A mutual fit between the advisor and the trainee is critical to ensuring that your time in the lab ... Familiarity with causal inference techniques in human genetics (e.g., Mendelian Randomization ...
Postdoctoral Scholar in the UCLA Tanigawa Lab
Los Angeles, CA · On-site
$69K/yr
A mutual fit between the advisor and the trainee is critical to ensuring that your time in the lab ... Familiarity with causal inference techniques in human genetics (e.g., Mendelian Randomization ...
Department of Epidemiology and Biostatistics Faculty Position - Epidemiology Assistant or Associate
San Francisco, CA · On-site
$121K - $189K/yr
... levels of trainees; and contribute to departmental and university service. Qualifications ... modern causal inference. Individuals with research interests in any subject matter domain are ...
Department of Epidemiology and Biostatistics Faculty Position - Epidemiology Assistant or Associate
San Francisco, CA · On-site
$121K - $189K/yr
... levels of trainees; and contribute to departmental and university service. Qualifications ... modern causal inference. Individuals with research interests in any subject matter domain are ...
Trainee Causal Inference information
What jobs use causal inference?
Jobs that use causal inference include data scientists, epidemiologists, econometricians, and policy analysts. These roles involve designing studies, analyzing data, and applying statistical methods to determine cause-and-effect relationships, often using tools like R or Python and requiring strong analytical skills.
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 are popular job titles related to Trainee Causal Inference jobs in California?
For Trainee Causal Inference jobs in California, the most frequently searched job titles are:
What job categories do people searching Trainee Causal Inference jobs in California look for?
The top searched job categories for Trainee Causal Inference jobs in California are:
Full-time
Re-posted 11 days ago
Stanford University rating
7.9
Based on 25 frontline employees who took The Breakroom Quiz
208th of 618 rated colleges and universities
Job description
Job Summary:
Stanford University’s School of Medicine is seeking a Basic Life Research Scientist to join the Aghaeepour Lab, which focuses on developing machine learning methods in clinical medicine. The role involves leading research projects, mentoring trainees, and collaborating with interdisciplinary teams to improve outcomes in acute care settings.
Responsibilities:
• Contribute to and/or lead research projects involving machine learning and clinical data integration
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
• Provide technical mentorship and guidance to trainees
• Contribute to manuscript preparation, review, and scientific dissemination
• Collaborate with clinicians, data scientists, and external partners
• Help maintain high standards of rigor, reproducibility, and code quality
• other duties may also be assigned
Qualifications:
Required:
• Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
• Experience in machine learning, deep learning, or AI applied to real-world datasets
• Strong programming skills (e.g., Python, PyTorch, TensorFlow)
Preferred:
• Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
• Strong publication record or demonstrated research productivity
• Ability to work in interdisciplinary teams spanning clinical and computational domains
• Experience in areas such as time series modeling, multimodal learning, or causal inference
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.
Stanford University’s School of Medicine is seeking a Basic Life Research Scientist to join the Aghaeepour Lab, which focuses on developing machine learning methods in clinical medicine. The role involves leading research projects, mentoring trainees, and collaborating with interdisciplinary teams to improve outcomes in acute care settings.
Responsibilities:
• Contribute to and/or lead research projects involving machine learning and clinical data integration
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
• Provide technical mentorship and guidance to trainees
• Contribute to manuscript preparation, review, and scientific dissemination
• Collaborate with clinicians, data scientists, and external partners
• Help maintain high standards of rigor, reproducibility, and code quality
• other duties may also be assigned
Qualifications:
Required:
• Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
• Experience in machine learning, deep learning, or AI applied to real-world datasets
• Strong programming skills (e.g., Python, PyTorch, TensorFlow)
Preferred:
• Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
• Strong publication record or demonstrated research productivity
• Ability to work in interdisciplinary teams spanning clinical and computational domains
• Experience in areas such as time series modeling, multimodal learning, or causal inference
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Stanford University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Stanford Energy
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Company size
11 - 50 Employees
Headquarters location
Stanford, CA, US
Year founded
2010