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Postdoctoral Clustering Jobs (NOW HIRING)

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

A postdoctoral fellow position is currently available in the lab of Dr. Kristen Pauken in the ... This includes the analysis pipeline from raw sequencing data to dataset integration, clustering ...

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... Study design incorporating longitudinal and spatial data as well as clustering by family units.

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... Study design incorporating longitudinal and spatial data as well as clustering by family units.

Applyadvanced discrete choice models, latent class models, clustering techniques, to uncover heterogeneous preferences and segment-specific insights. * Translate complex statistical outputs intoclear ...

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... Study design incorporating longitudinal and spatial data as well as clustering by family units.

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus: Multi-omics and Longitudinal ... clustering, trajectory modeling) * Lead reproducible analysis pipelines in R, Python, or related ...

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Postdoctoral Clustering information

See salary details

$25K

$59K

$83.5K

How much do postdoctoral clustering jobs pay per year?

As of Jun 6, 2026, the average yearly pay for postdoctoral clustering in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is the difference between Postdoctoral Clustering vs Postdoctoral Researcher?

AspectPostdoctoral ClusteringPostdoctoral Researcher
Required credentialsPhD in relevant fieldPhD in relevant field
Work environmentResearch groups, labs, academic institutionsResearch groups, labs, academic institutions
Employer and industry usageUsed in academic and research settings for team organizationUsed for individual research roles in academia and industry
Common search intentUnderstanding team-based research roles and organizationFinding individual research positions or projects

Postdoctoral Clustering typically refers to organizing or grouping postdoctoral researchers within research teams or projects, focusing on team structure. In contrast, a Postdoctoral Researcher is an individual role involving conducting research independently or collaboratively. While both roles require a PhD and are found in similar environments, Clustering emphasizes team organization, whereas Researcher emphasizes individual contribution.

What is a Postdoctoral Clustering position?

A Postdoctoral Clustering position refers to a postdoctoral research role focused on clustering, which is a type of unsupervised machine learning technique used to group data points based on similarity. Individuals in these positions often work on developing, improving, or applying clustering algorithms to complex datasets in fields such as biology, physics, or computer science. These roles are typically intended for recent PhD graduates and involve both independent research and collaboration with other scientists. Postdoctoral researchers in clustering may also contribute to publications, present findings at conferences, and assist with grant writing. The ultimate goal is to advance understanding and methodologies related to clustering analysis.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher specializing in clustering, and why are they important?

To thrive as a Postdoctoral Researcher focused on clustering, you need a strong background in statistics, machine learning, and data analysis, typically supported by a PhD in a relevant field. Expertise with programming languages such as Python or R, experience with clustering algorithms, and familiarity with tools like scikit-learn or MATLAB are commonly required. Strong analytical thinking, problem-solving, and collaboration skills help you design robust experiments and communicate findings effectively. These competencies are crucial for advancing research, interpreting complex data sets, and contributing to interdisciplinary scientific progress.

What are the typical collaborative opportunities for a Postdoctoral Clustering researcher within academic or industry settings?

Postdoctoral Clustering researchers often work closely with interdisciplinary teams, including data scientists, domain experts, and statisticians, to develop and refine clustering algorithms for large datasets. Collaboration is common both within their immediate research group and across departments, facilitating the exchange of ideas and access to diverse data sources. These roles typically involve regular meetings to discuss research progress, joint authorship of scientific papers, and opportunities to contribute to grant proposals or industry projects, all of which can help expand professional networks and open pathways for career advancement.
Infographic showing various Postdoctoral Clustering job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Fellow - Immunology

Postdoctoral Fellow - Immunology

MD Anderson

Houston, TX • On-site

$46K - $63K/yr

Other

Medical, Dental, Retirement, PTO

Posted 28 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

32nd of 867 rated healthcare providers


Job description

A postdoctoral fellow position is currently available in the lab of Dr. Kristen Pauken in the Department of Immunology at UT MD Anderson Cancer Center. Harnessing the immune system using immune checkpoint inhibitors to treat cancer has revolutionized clinical cancer care, demonstrating remarkable efficacy in diverse cancer types.

Despite the clinical successes, overall response rates for most cancers remain below 50%, highlighting the need to better understand immunological drivers of response and resistance to improve outcomes. Moreover, a subset of patients develops autoimmune-like immune-related adverse events, which has limited the utility of this approach. The inability to push the reset button on autoreactive immune responses is becoming a rate limiting step in the effective application of immunotherapy for the treatment of cancer and continues to hamper our ability to treat autoimmunity.

Many combination therapies designed to improve efficacy also worsen the rate and severity of the associated toxicities. The central mission of the Pauken laboratory is to expand the reach of checkpoint-based immunotherapy by tackling issues related to both efficacy and safety with the long term goal of developing ways to dissociate the protective effects of immunotherapy from the toxicities. In the open postdoctoral fellow position, the Pauken laboratory is specifically recruiting applicants with extensive computational expertise to drive single cell transcriptomic and spatial transcriptomic projects forward in the laboratory.

In this position, applicants will be expected to lead projects both in the tumor microenvironment as well as in inflamed lesional tissues that develop as a side effect of checkpoint immunotherapy. Additionally, a major focus on the Pauken laboratory is understanding the ontogeny of protective vs. pathogenic immune responses in cancer patients, which will involve analyses of peripheral tissues (e.g., peripheral blood, lymph nodes) and application of tools including single cell sequencing of the T cell receptor (TCR) to track clonally related populations between tissues

The major goal of this position is to leverage both human and mouse transcriptomic datasets to identify key barriers to success in terms of anti-tumor immune responses as well as identify key differences between the immune responses driving anti-tumor immunity and pathogenic immune-related adverse events so that the field can get better at improving efficacy without worsening the toxicities. In joining the Pauken laboratory, applicants can expect a fast paced, cutting-edge research environment, highly supportive mentor, and a supportive and collaborative research environment. Successful applicants will be expected to lead computational projects as the first author, prepare and submit manuscripts, attend conferences and present work in progress, and participate in regular laboratory meetings.

Applicants will be expected to lead independent projects as well as work collaboratively as a team with other members of the Pauken laboratory and collaborators with the Pauken laboratory. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations LEARNING OBJECTIVES 1.) Take overall responsibility for and drive the proposed projects, focusing on identifying key barriers to success in terms of anti-tumor immune responses as well as identifying key differences between the immune responses driving anti-tumor immunity vs. pathogenic immune-related adverse events

This entails designing and planning key analyses/experiments, troubleshooting, creative problem solving, and taking the initiative to seek out new avenues of inquiry, including collaborations. 2.) Apply single cell transcriptomic data to identify immunological mechanisms driving response, resistance, and toxicities following checkpoint immunotherapy in both human and mouse datasets. This includes the analysis pipeline from raw sequencing data to dataset integration, clustering, pathway analysis, differential gene expression analysis, and other algorithms as the project requires

3.) Determine how peripheral immune responses differ from intratumoral or intralesional immune responses and determine how peripheral immune populations contribute to protective anti-tumor immunity and immune-related adverse events. 4.) Determine how combination therapies can be leveraged to either overcome resistance to checkpoint immunotherapy in cancer or dampen toxicities that raise following cancer immunotherapy. 5.) Take the lead in writing up manuscripts and abstracts on the research with supervision from the PI

May also be asked to assist in the preparation of grant proposals or other literature, such as review articles. 6.) Engage in collaborative, cross-disciplinary research with access to state-of-the-art facilities and tools. 7.) Acquire professional development and expertise in single-cell sequencing, spatial sequencing/imaging approaches, cellular immunology, and translational research planning and strategy

ELIGIBILITY REQUIREMENTS A Ph.D. or equivalent in the fields of Immunology, Cancer Biology, Cell Biology, Systems Biology, Bioinformatics, or Computational Biology is required. Prior experience with high-dimensional single cell RNA sequencing data analysis and data visualization software is a must

Additionally, experience with other types of single cell sequencing data (e.g., T cell receptor sequencing, CITE seq, ATAC seq) and/or spatial transcriptomics is preferred. A track record of scientific productivity, as evidenced by peer-reviewed publications is a must. Candidates must have demonstrated proficiency in scientific writing through at least one lead-authorship manuscript during the Ph.D

(or equivalent) thesis work. Good communication with the supervisor and colleagues is a must. Excellent organizational skills of both experimental notes, data, and physical reagents are also a must.

POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law

http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply


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