Bloomington, MN · On-site +1
Ability to develop and appropriately apply novel analytic and data processing methods, such as artificial intelligence and machine learning, causal inference, cluster randomized trial designs, and/or ...
Bloomington, MN · On-site +1
Ability to develop and appropriately apply novel analytic and data processing methods, such as artificial intelligence and machine learning, causal inference, cluster randomized trial designs, and/or ...
Bloomington, MN · On-site +1
Ability to develop and appropriately apply novel analytic and data processing methods, such as artificial intelligence and machine learning, causal inference, cluster randomized trial designs, and/or ...
Bloomington, MN · On-site +1
Ability to develop and appropriately apply novel analytic and data processing methods, such as artificial intelligence and machine learning, causal inference, cluster randomized trial designs, and/or ...
$212K - $318K/yr
Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference ... Experience with machine learning modeling is a plus. * Proven ability to influence product and ...
$212K - $318K/yr
Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference ... Experience with machine learning modeling is a plus. * Proven ability to influence product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
Expertise in machine learning, neural networks, and deep learning Excellent writing and ... causal inference, predictive modeling on longitudinal data. Expertise in transformers ...
Expertise in machine learning, neural networks, and deep learning Excellent writing and ... causal inference, predictive modeling on longitudinal data. Expertise in transformers ...
Minneapolis, MN · On-site
... appropriate machine learning and statistical methodologies Translating validated models into ... causal inference models isolating incremental referral lift from specific marketing programs ...
Minneapolis, MN · On-site
... appropriate machine learning and statistical methodologies Translating validated models into ... causal inference models isolating incremental referral lift from specific marketing programs ...
Minneapolis, MN · On-site
... machine learning and statistical methodologies • Translating validated models into forward ... building causal inference models isolating incremental referral lift from specific marketing ...
Minneapolis, MN · On-site
... machine learning and statistical methodologies • Translating validated models into forward ... building causal inference models isolating incremental referral lift from specific marketing ...
Minneapolis, MN · On-site
$109K - $149K/yr
As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... and edge inference technologies to enhance reproducibility, extensibility, scalability, and ...
Minneapolis, MN · On-site
$109K - $149K/yr
As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... and edge inference technologies to enhance reproducibility, extensibility, scalability, and ...
... machine learning technique * s.Solid understanding of experimental design, A/B testing, and causal inference concepts, with experience applying them to digital products or marketing campaign * s.
New
... machine learning technique * s.Solid understanding of experimental design, A/B testing, and causal inference concepts, with experience applying them to digital products or marketing campaign * s.
New
Minneapolis, MN · On-site
$100K - $150K/yr
... machine learning and statistical methodologies • Translating validated models into forward ... building causal inference models isolating incremental referral lift from specific marketing ...
Minneapolis, MN · On-site
$100K - $150K/yr
... machine learning and statistical methodologies • Translating validated models into forward ... building causal inference models isolating incremental referral lift from specific marketing ...
Minneapolis, MN · On-site
$65K - $75K/mo
Prior research in causal inference or innovative trial design and analysis About the Department ... Continuous learning opportunities through professional training and degree-seeking programs ...
Minneapolis, MN · On-site
$65K - $75K/mo
Prior research in causal inference or innovative trial design and analysis About the Department ... Continuous learning opportunities through professional training and degree-seeking programs ...
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
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.
Other
Medical, Retirement
Re-posted 3 hours ago
7.6
Based on 133 frontline employees who took The Breakroom Quiz
188th of 887 rated healthcare providers
HealthPartners is hiring a Research Investigator, Statistician who will provide scientific leadership and analytical expertise in a team environment, with an overall aim of advancing evidence to improve health outcomes, well-being, and population health. This role, within HealthPartners Institute (the Institute), collaborates closely with other investigators within the Institute, across the HealthPartners health system, and with external researchers, to design, conduct, analyze, and disseminate public domain healthcare research.
Applying strong expertise in statistical or epidemiologic methods, this role works with complex healthcare data across a broad range of observational, interventional, and pragmatic research studies. In addition to contributing to grant proposals, data analysis for ongoing studies, and dissemination of research findings through presentation and publication, the Research Investigator, Statistician will have the opportunity to develop an independent line of research aligned with organizational mission and their area(s) of expertise. The Institute includes a multidisciplinary team of researchers with expertise in adult and pediatric chronic disease, pharmacovigilance, pregnancy and child health, mental health, orthopedics, neuroscience, epidemiology, statistics, and oral health research, among others. Statisticians based in the Institute also serve as a resource for clinicians in the health system who conduct research.
The Research Investigator, Statistician will help advance the Institute as a leading environment for high-impact research, supporting collaboration and innovation both within the health system and across the broader scientific community. Reporting to the Director of the Research Methodology Group, this role joins a team of seven statisticians with broad methodologic expertise in pragmatic-randomized trials, traditional clinical trials, causal inference, machine learning, predictive analytics, and other topics.
Required Qualifications:
Preferred Qualifications:
Hours/Location:
Responsibilities:
At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.
We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.
At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.
Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.
Join us in our mission to improve the health and well-being of our patients, members, and communities.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.
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