Michigan Medicine is seeking a postdoctoral research fellow in statistical genetics and ... applied mathematics, or a related quantitative field is required • Proof of degree completion ...
Michigan Medicine is seeking a postdoctoral research fellow in statistical genetics and ... applied mathematics, or a related quantitative field is required • Proof of degree completion ...
Research Fellow - Bradburd Lab
Ann Arbor, MI · On-site
$63K/yr
The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for ... mathematics, population modeling, evolutionary or ecological theory, computer science, etc. Modes ...
Research Fellow - Bradburd Lab
Ann Arbor, MI · On-site
$63K/yr
The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for ... mathematics, population modeling, evolutionary or ecological theory, computer science, etc. Modes ...
RESEARCH FELLOW
Ann Arbor, MI · On-site
$62K - $64K/yr
... large physical modeling basin which serves as a vital resource. Mission Statement Michigan ... We seek talented, motivated postdoctoral applicants from all areas of engineering, math, physics ...
RESEARCH FELLOW
Ann Arbor, MI · On-site
$62K - $64K/yr
... large physical modeling basin which serves as a vital resource. Mission Statement Michigan ... We seek talented, motivated postdoctoral applicants from all areas of engineering, math, physics ...
Department of Statistics RESEARCH FELLOW
Ann Arbor, MI · On-site
$65K - $80K/yr
PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a ... Experience with statistical modeling, machine learning, or large-scale data analysis Desired ...
Department of Statistics RESEARCH FELLOW
Ann Arbor, MI · On-site
$65K - $80K/yr
PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a ... Experience with statistical modeling, machine learning, or large-scale data analysis Desired ...
Mathematical Modeling Postdoc information
What is the difference between Mathematical Modeling Postdoc vs Data Scientist?
| Aspect | Mathematical Modeling Postdoc | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Mathematics, Applied Mathematics, or related field | Bachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred |
| Work Environment | Academic research institutions, universities, research labs | Corporate, tech companies, startups, or consulting firms |
| Industry Usage | Research projects, academic publications, grant-funded studies | Business analytics, product development, data-driven decision making |
| Common Search & Comparison | Yes | Yes |
While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.
What does a Mathematical Modeling Postdoc do?
A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.
What are some common challenges faced by Mathematical Modeling Postdocs when transitioning from academic research to collaborative industry projects?
Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.
What are the key skills and qualifications needed to thrive as a Mathematical Modeling Postdoc, and why are they important?
A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
What are popular job titles related to Mathematical Modeling Postdoc jobs in Michigan? For Mathematical Modeling Postdoc jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in Michigan look for? The top searched job categories for Mathematical Modeling Postdoc jobs in Michigan are:
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Full-time
Posted 14 days ago
Michigan Medicine rating
7.4
Based on 73 frontline employees who took The Breakroom Quiz
319th of 1,002 rated hospitals
Job description
Job Summary:
Michigan Medicine is seeking a postdoctoral research fellow in statistical genetics and computational genomics within the Terhorst Lab. The role involves developing scalable methods for complex trait analysis and collaborating with researchers across various fields.
Responsibilities:
• Develop novel statistical and computational methods for ARG-based quantitative genetics
• Analyze large-scale genetic and phenotypic datasets
• Implement scalable software and algorithms for genomic inference
• Collaborate with researchers across statistics, genetics, and computational biology
• Contribute to manuscripts, presentations, and open-source software development
• Participate in interdisciplinary collaborations related to predictive breeding and genome editing
• Travel to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford
Qualifications:
Required:
• PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required
• Proof of degree completion must be in hand on or before the start date
• Strong programming and computational skills
• Experience with statistical modeling, machine learning, or large-scale data analysis
Preferred:
• Experience with population genetics or statistical genetics
• Familiarity with Bayesian methods, probabilistic modeling, or graphical models
• Experience with scientific computing in Python, JAX, Torch, Julia, C++, or related languages
• Experience with high-performance computing or scalable algorithms
• Interest in interdisciplinary research spanning genomics and evolutionary biology
Company:
Michigan Medicine is a health care system and academic medical center that provides medical education and more. It is a sub-organization of University of Michigan. Founded in 1869, the company is headquartered in Ann Arbor, USA, with a team of 10001+ employees. The company is currently Late Stage.
Michigan Medicine is seeking a postdoctoral research fellow in statistical genetics and computational genomics within the Terhorst Lab. The role involves developing scalable methods for complex trait analysis and collaborating with researchers across various fields.
Responsibilities:
• Develop novel statistical and computational methods for ARG-based quantitative genetics
• Analyze large-scale genetic and phenotypic datasets
• Implement scalable software and algorithms for genomic inference
• Collaborate with researchers across statistics, genetics, and computational biology
• Contribute to manuscripts, presentations, and open-source software development
• Participate in interdisciplinary collaborations related to predictive breeding and genome editing
• Travel to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford
Qualifications:
Required:
• PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required
• Proof of degree completion must be in hand on or before the start date
• Strong programming and computational skills
• Experience with statistical modeling, machine learning, or large-scale data analysis
Preferred:
• Experience with population genetics or statistical genetics
• Familiarity with Bayesian methods, probabilistic modeling, or graphical models
• Experience with scientific computing in Python, JAX, Torch, Julia, C++, or related languages
• Experience with high-performance computing or scalable algorithms
• Interest in interdisciplinary research spanning genomics and evolutionary biology
Company:
Michigan Medicine is a health care system and academic medical center that provides medical education and more. It is a sub-organization of University of Michigan. Founded in 1869, the company is headquartered in Ann Arbor, USA, with a team of 10001+ employees. The company is currently Late Stage.
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Benefits
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About Michigan Medicine
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Industry
Health care and social assistance
Company size
10,000+ Employees
Headquarters location
Ann Arbor, MI, US
Year founded
1869