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Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

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 California? For Mathematical Modeling Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in California look for? The top searched job categories for Mathematical Modeling Postdoc jobs in California are:
What cities in California are hiring for Mathematical Modeling Postdoc jobs? Cities in California with the most Mathematical Modeling Postdoc job openings:
Mathematical Modeling Postdoc jobs near you
Postdoctoral Scientist - Swanson Lab - Department of Neurosurgery

Postdoctoral Scientist - Swanson Lab - Department of Neurosurgery

Cedars Sinai

West Hollywood, CA • On-site

Other

Posted 17 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

38th of 1,020 rated hospitals

Job description

The Swanson Lab at Cedars-Sinai Medical Center, Department of Neurosurgery is looking for a Postdoctoral Scientist to join the team!

Are you ready to be a part of breakthrough research?

Mathematical neuro-oncology is an exciting interdisciplinary field incorporating applied mathematics, artificial intelligence, clinical oncology, cancer biology, radiology, pathology and informatics. This field represents a major new way of thinking in the generation of practical clinical tools to benefit people diagnosed with brain tumors.

Kristin R. Swanson, Ph.D., and her research team in the Mathematical Neuro-Oncology Lab at Cedars-Sinai are at the forefront of this field developing numerous models of glioma tumors. Dr. Swanson and her team are finding ways to make these models specific for predicting and simulating individualized tumor behavior under different treatment scenarios. Dr. Swanson's research team's current projects focus on growing and harnessing these resources to predict patient-specific tumor growth, find patient-specific markers of tumor progression and identify predictors of response to therapy in individuals.

Working independently but in close cooperation with the Principal Investigator, Dr. Kristin Swanson, and other Research Scientists, the Postdoctoral Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications of mathematical modeling.

Primary Job Duties and Responsibilities:

  • May assist in the preparation of grant proposals, but is not responsible for generating grant funds.
  • May participate in publications and presentations as author or co-author.
  • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator.
  • Analyzes interpret, summarizes, and compiles data.
  • Operates and maintains equipment and instruments.
  • May observe MD-patient or MD-human research subject interactions as they pertain directly to research being performed.
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

Education:

  • Doctorate (MD, PhD, VMD, or DDS) in the area directly related to the field of research specialization.

Experience and Skills:

  • Acquires technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment.
  • Works independently on research projects designed by a mentor (typically the PI) within area of specialization.
  • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, analysis, operation, and maintenance of specialized equipment.
  • Knowledge of safety standards and maintenance of specialized equipment.

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