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How much do postdoc in topological data jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for postdoc in topological data in the United States is $33.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.18 per hour, depending on experience, location, and employer.

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.

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 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.
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Infographic showing various Postdoc In Topological Data job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $68,795 per year, or $33.1 per hour.
Postdoctoral Associate Genetics - Koch Lab

Postdoctoral Associate Genetics - Koch Lab

Yale University

New Haven, CT • On-site

Full-time

Posted 9 hours ago

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

39th of 532 rated colleges and universities

Job description

Description
The Koch lab is seeking a postdoctoral scientist with expertise in population genetics and a motivated interest in human genetics. Our lab develops novel methods, theory, and analysis paradigms. We are interested in linking selectional and mutational landscapes to patterns of genetic variation associated with human traits and diseases. We do this by integrating evolutionary models with GWAS, biobank, and functional genomic resources across populations to uncover broadly useful frameworks for interpreting genetic findings in human health.
Appropriate candidates will possess foundational knowledge in population genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse backgrounds are encouraged to apply.
The Koch lab is located in the Yale School of Medicine which offers an outstanding training environment for postdoctoral scientists, with state-of-the-art research facilities and vast resources to support professional development.
Responsibilities
  • Develop bioinformatics pipelines for the analysis of large genomic datasets
  • Derivation of novel statistical and theoretical models
  • Prepare manuscripts for publication
  • Attend and present at lab meetings, departmental seminars, and conferences
  • Participating in collaborations with other labs and consortia
  • Contribute to the mentoring of students and junior scientists in the lab
  • Application for independent funding and assisting the PI in the preparation of grant proposals

Mentoring & Professional Development
We have a strong emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals and interests. Mentorship will be provided for fellowship applications, manuscript writing, presentations, and independence.
The successful candidate will gain access to a range of career development opportunities at Yale. This includes seminars from internationally renowned researchers and 'Meet the Speaker' lunches, and professional development and networking activities including via the Yale Postdoctoral Association and Yale Office for Career Strategy.
Qualifications
Candidates should have or be close to obtaining a PhD in either genetics/genomics, evolutionary biology, computational biology, or a related field.
Experience with the Python programming language and the command line interface is required. Experience with one or more of the following is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics.
The ideal candidate will also demonstrate:
  • A high level of drive and initiative, and track record of impactful research outcomes
  • Experience writing manuscripts published in peer-reviewed journals
  • Ability to work both independently and as part of a team
  • Eagerness to learn and establish new methods, and good problem-solving skills
  • Excellent communication skills, both written and verbal
  • Desire to contribute to the mentorship of students and junior scientists in the lab

Application Instructions
Please apply with (1) a cover letter summarizing your experiences, research interests, and career goals, and why you are interested in pursuing a postdoc in our lab, (2) your CV, including contact details of three references as well as a representative manuscript, and (3) when you are available to start.

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