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Causal Inference Machine Learning Postdoctoral Jobs in Minnesota

Mayo Clinic

Research Fellow - Engineering

Rochester, MN · On-site

... postdoctoral Research Fellow for the CT Clinical Innovation Center, a worldwide leader in the field ... Skills in the development of machine learning algorithms for medical imaging tasks are desirable.

Genesis10

Lead AI Engineer - Remote

Minnetonka, MN · Remote

$145K - $150K/yr

D. in Computer Science, Engineering, Machine Learning, Data Science, or a related quantitative ... and inference optimization * Strong system design and software engineering background with ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Edina, MN · Remote

$40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Saint Paul, MN · Remote

$40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Causal Inference Machine Learning Postdoctoral information

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 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 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 Minnesota? For Causal Inference Machine Learning Postdoctoral jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Minnesota look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Minnesota are:
What cities in Minnesota are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Minnesota with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Post-Doctoral Associate

Post-Doctoral Associate

University of Minnesota

Minneapolis, MN

$62K - $65K/yr

Full-time

Medical, Dental, Life

Posted 15 days ago

Job description

About the Job
 

Post-Doctoral Associate (9546)
About The Job

Working under the direction of Dr. Steven Shen, you will lead and/or engage in developing cutting edge analytic tools for studying the genome transformation and genomic activities. 
70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms for investigating the relationship between genome transformation and genome activities with the data obtained from public domains and/or collaborators, writing research proposals and reports, participating in teaching activities in related courses.
30% - The candidate will be also expected to analyze the data from collaborator groups, help train and work with graduate students, and generate reports or publications.

Qualifications
 

All required qualifications must be documented on application materials.

Required Qualifications

  • PhD in biological science and/or bioinformatics or computational biology.
  • Knowledge of genome biology, bioinformatics and/or machine learning.
  • Experience with python/R programing, machine learning theory and tools.

Preferred Qualifications

  • Publication record with minimum 2 years experiences in biological and/or medical science, computational biology.
  • Experience with R/Python programing and machine learning algorithms. 
  • Familiar with genome, genome sequencing, genome transcription regulation mechanism and AI technology.
About the Department
 

The Institute for Health Informatics (IHI) educates students and conducts research in the fields of biomedical and health informatics.

In that work it focuses on the design, use, and evaluation of information systems that support and improve healthcare while protecting the safety and confidentiality of those who receive that care. It is an interdisciplinary endeavor that encompasses work in a variety of settings from tertiary care hospitals to specialty clinics, mental health facilities, community clinics, nursing homes, and home care agencies.
 

Pay and Benefits
 

Pay Range: $62,000-$65,000; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

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