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Postdoctoral Traffic Data Jobs (NOW HIRING)

... data sets to develop insights that increase traffic monetization and merchandise sales without ... in a postdoctoral position, consulting position, government position or academic research ...

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Postdoctoral Traffic Data information

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$25K

$59K

$83.5K

How much do postdoctoral traffic data jobs pay per year?

As of Jun 24, 2026, the average yearly pay for postdoctoral traffic data 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 are the key skills and qualifications needed to thrive as a Postdoctoral Traffic Data Researcher, and why are they important?

To thrive as a Postdoctoral Traffic Data Researcher, you need a PhD in transportation engineering, computer science, or a related field, along with strong analytical and statistical skills. Experience with data analysis tools such as Python, R, MATLAB, and traffic simulation software, as well as familiarity with big data platforms, is typically required. Excellent problem-solving abilities, collaboration, and effective communication help distinguish top candidates in this research-intensive environment. These skills and qualities are essential for conducting impactful research, interpreting complex datasets, and contributing to advancements in traffic systems and policy.

What are the typical research and collaboration opportunities available to a Postdoctoral Traffic Data researcher within academic or industry settings?

Postdoctoral Traffic Data researchers often work closely with multidisciplinary teams, including civil engineers, data scientists, and urban planners, to analyze and interpret large-scale transportation datasets. Common responsibilities include developing and testing traffic models, publishing research findings, and presenting results at conferences. Collaboration is key, as projects frequently involve partnerships with government agencies, private sector companies, and academic institutions. These roles offer significant opportunities for career development through networking, grant writing, and mentoring graduate students, paving the way for advancement to faculty positions or leadership roles in industry research.

What does a Postdoctoral Traffic Data researcher do?

A Postdoctoral Traffic Data researcher analyzes large datasets related to traffic patterns, driver behavior, and transportation systems. Their work often involves applying advanced statistical methods, machine learning, and computational modeling to understand and improve traffic flow, safety, and efficiency. They may collaborate with engineers, urban planners, and government agencies to develop solutions for traffic congestion and inform transportation policy. Postdocs in this field typically publish their findings in scientific journals and present at conferences.

What is the difference between Postdoctoral Traffic Data vs Traffic Analyst?

AspectPostdoctoral Traffic DataTraffic Analyst
Required CredentialsPhD in transportation, civil engineering, or related fieldBachelor's or Master's in transportation, urban planning, or related field
Work EnvironmentResearch institutions, universities, government research labsTransportation agencies, consulting firms, private companies
Employer & Industry UsagePrimarily academic and research-focusedOperational and planning-focused in transportation industry
Common Search & ComparisonResearch roles, data analysis in academiaTraffic pattern analysis, data collection, and reporting

Postdoctoral Traffic Data roles focus on advanced research, data analysis, and academic contributions, often requiring a PhD. Traffic Analysts typically work in operational settings, analyzing traffic patterns and providing actionable insights. While both roles involve traffic data, Postdoctoral Traffic Data positions are research-oriented, whereas Traffic Analysts are more practical and application-focused.

Infographic showing various Postdoctoral Traffic Data job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Fellow - Hematopoietic Biology & Malignancy

Postdoctoral Fellow - Hematopoietic Biology & Malignancy

MD Anderson

Houston, TX

$46K - $63K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 18 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

33rd of 875 rated healthcare providers


Job description

The Rafei laboratory at The University of Texas MD Anderson Cancer Center seeks a highly motivated Postdoctoral Fellow with a strong biomedical research background to join a translational cancer immunotherapy program. The laboratory is an interdisciplinary and collaborative team focused on developing next-generation adoptive cellular therapies for cancer, with an emphasis on understanding and overcoming barriers within the tumor microenvironment.
Our work spans T-cell engineering, CAR-T cell biology, genetic and epigenetic modulation, lymphocyte metabolism, single-cell and epigenomic profiling, and clinically relevant models of solid tumors and hematologic malignancies. A central focus of the laboratory is to define how intracellular signaling, metabolic stress, and epigenetic programs regulate immune-cell fate, persistence, and antitumor function. These insights are used to design more durable and effective cellular therapies, particularly for tumors in which immune suppression, poor trafficking, or limited persistence restrict clinical efficacy.
The Postdoctoral Fellow will lead one or more independent but highly mentored projects that connect mechanistic discovery with translational cell therapy development. Projects may involve engineering CAR-T cell products, evaluating immune-cell function under tumor microenvironmental stress, and using in vitro, ex vivo, patient-derived, and in vivo models to identify mechanisms of resistance and strategies to overcome them.
Primary duties may include:
• Lead hypothesis-driven projects focused on the molecular, epigenetic, and metabolic regulation of engineered T-cell function in cancer.
• Design, generate, and validate CAR-T cell products, including genetic engineering strategies as appropriate.
• Perform functional immune assays, including cytotoxicity, cytokine production, proliferation, exhaustion, persistence, metabolic fitness, flow cytometry, and co-culture assays using tumor, stromal, and immune-cell systems.
• Evaluate therapeutic activity, trafficking, persistence, and safety in relevant preclinical models, including xenograft, patient-derived, organoid, and immunocompetent models when scientifically appropriate.
• Integrate functional studies with multi-omic approaches such as single-cell profiling, epigenomic assays, metabolomics, metabolic flux analyses, high-dimensional cytometry, and functional genetic screens in collaboration with institutional cores and computational partners.
• Contribute to translational development by helping prioritize therapeutic strategies, biomarkers, manufacturability considerations, and preclinical datasets that support future grant and clinical trial concepts.
• Prepare manuscripts, abstracts, fellowship applications, grant sections, figures, protocols, and presentations, and present findings at laboratory meetings, departmental seminars, and national or international conferences.
• Mentor and collaborate with graduate students, research assistants, technicians, and clinical or scientific collaborators in a collegial, rigorous, and team-oriented environment.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The fellow will work within a highly collaborative MD Anderson research environment with access to institutional cell therapy, genomics, epigenomics, metabolomics, flow cytometry, imaging, animal modeling, organoid, and clinical translational platforms. The position is designed for a candidate who wants to develop deep mechanistic expertise while building a record of high-impact, translationally relevant scholarship.
• Advanced Research Design and Execution: Develop and lead rigorous independent projects that dissect regulatory mechanisms of immune dysfunction and test strategies to improve engineered cellular therapies.
• Cell Therapy Engineering and Functional Immunology: Gain advanced expertise in CAR-T cell design, immune-cell culture, gene editing, product characterization, and functional potency assessment.
• Tumor Microenvironment and Translational Modeling: Learn to model clinically relevant suppressive cues and evaluate cell therapy activity in organoids, patient-derived systems, orthotopic models, xenografts, and immunocompetent models where appropriate.
• Multi-omics, Functional Genomics, and Data Integration: Develop fluency in the generation, interpretation, and integration of single cell, epigenomic, metabolic, flow/CyTOF, imaging, and functional screening datasets.
• Scientific Leadership and Communication: Build a strong record of first-author manuscripts, abstracts, oral presentations, fellowship applications, grant contributions, and multidisciplinary collaboration.
• Career Independence: Execute an individualized career development plan that prepares the fellow for an independent academic, physician-scientist, translational research, or industry position.
Dr. Rafei is strongly committed to the professional development, scientific independence, and career advancement of trainees. The fellow will receive structured mentorship in experimental design, scientific writing, grantsmanship, oral presentation, project management, collaboration, and career planning. A tailored career development plan will be developed with the fellow and updated regularly based on the fellow's evolving goals, including academic, physician-scientist, biotechnology, pharmaceutical, or other translational research career paths.
The fellow will have access to the rich research environment at MD Anderson and the Texas Medical Center, including platforms for clinical translation, computation and bioinformatics, single-cell genomics, epigenomics, flow cytometry and CyTOF, metabolomics, drug screening, animal modeling, organoids, imaging, and clinical specimen-based research.
ELIGIBILITY REQUIREMENTS
Highly motivated individuals who have obtained or are about to obtain a PhD, MD/PhD, MD with substantial research experience, or equivalent doctoral degree in immunology, cancer biology, molecular biology, cell biology, bioengineering, genetics, bioinformatics, computational biology, or a related field are encouraged to apply. A strong publication record, excellent written and oral communication skills, rigor in experimental design, ability to work both independently and collaboratively, and enthusiasm for translational cancer immunotherapy are required.
Preferred qualifications include experience in one or more of the following areas: lymphocyte biology, CAR or TCR engineering, CRISPR/Cas9 or other gene-editing platforms, tumor immunology, cancer metabolism, epigenetics, single-cell or bulk genomics, flow cytometry, animal models, organoid or patient-derived models, bioinformatics, or translational cell therapy development. Candidates do not need to have expertise in all areas but should have a strong desire to learn new methods and contribute to a collaborative laboratory culture.
ADDITIONAL APPLICATION INFORMATION
Applications will be considered immediately and continue until the position is filled.
More research details can be found at: https://faculty.mdanderson.org/profiles/hind_rafei.html
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

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