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Postdoc In Topological Data Jobs in Indiana (NOW HIRING)

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45K - $61K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type: Postdoctoral Fellow Department: IUSM - Biostatistics Campus: IU School of Medicine Indianapolis Position ...

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Postdoc In Topological Data information

What is a Postdoc in Topological Data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are some typical collaborative opportunities for a Postdoc in Topological Data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What are the key skills and qualifications needed to thrive as a Postdoc in Topological Data, and why are they important?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.
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Postdoctoral Fellows

Jobs for Humanity

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Posted 11 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Indiana University to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Indiana University
Job Description

Title: Postdoctoral Fellow in Biostatistics and Health Data Science
Specific Title Appointment Type: Postdoctoral Fellow
Department: IUSM - Biostatistics
Campus: IU School of Medicine Indianapolis
Position Summary: We are seeking multiple highly motivated Postdoctoral Fellows interested in developing and implementing novel Bayesian adaptive designs for oncology clinical trials. The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with clinical trial development is a plus. The fellows will work with an interdisciplinary team spanning multiple departments, centers, and institutes with a common goal of creating and evaluating novel statistical designs in clinical research. The selected candidate will have the opportunity to learn and develop new statistical methods and designs in clinical research, write and co-author manuscripts for high-quality peer-reviewed journals, and co-submit grant proposals to secure external funding. In addition, this position will have many opportunities to collaborate with other interesting relevant projects within the Indiana University School of Medicine and MD Anderson Cancer Center. IUSM is committed to being an institution that reflects the learners we teach and the patient populations we serve and pursues the values of equity and inclusion that inform academic excellence. We desire candidates whose work contributes to equitable and inclusive learning and working environments for our learners, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Basic Qualifications: The minimum qualifications for a successful candidate include: Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is a plus. Strong programming skills in R, SASS, and/or Python, experience with Bayesian computing software.
Department for Questions: Yong Zang zangyiu
Additional Qualifications:
Special Instructions:
Priority Application Review Deadline:
Expected Start Date:
OAA #IUSM-01797-2023
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