Jobs · Analyst · Texas

Postdoctoral Fellow - Hematopoietic Biology & Malignancy

UT MD Anderson · Houston, TX · 1 mo ago
Analyst$64k–$76k/yrFull-time
We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to extract from posting. Let's parse. Job description: The Shengqing (Stan) Gu lab at UT MD Anderson Cancer Center seeks a highly motivated Postdoctoral Fellow with a strong biomedical research background to join our team. The Gu laboratory is an interdisciplinary ang highly collaborative team focused on understanding how dysregulation of cell-cell interactions shape tumor development and drive immune evasion - a key process underlying cancer progression and therapy resistance. We are seeking a well-organized, highly motivated postdoctoral fellow with extensive experience in cancer immunology and/or computational biology. The fellow will work closely with local experimental and/or computational collaborators in seeking to enhance the efficacy of cancer immunotherapy, such as by modulating cancer antigen presentation or elucidating the evolution of immune evasion. In addition, the fellow will also benefit from collaborations with former colleagues of Dr. Gu at many institutes. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. Then "LEARNING OBJECTIVES" list: Advanced Research Design & Execution: Lead independent research projects dissecting cancer-associated immune evasion and drug resistance mechanisms in leukemia. Cancer Immunology Expertise: Develop a comprehensive understanding of T-cell-mediated immunity and cancer-associated immune evasion. Cutting-Edge Multi-omics & Genomics: Master the integration and analysis of complex datasets, including single cell/spatial multi-omics, functional genomics, and CRISPR screening. Computational Biology Expertise: Develop and/or use computation and AI tools to analyze experimental data and solve biomedical questions. Translational Therapeutics Development: Collaborate with comprehensive institutional core facilities to translate basic findings into novel targeted and immunotherapeutic strategies. Scientific Leadership & Communication: Lead the drafting of high-impact scientific manuscripts, present findings at multidisciplinary seminars, and collaborate with internal and external research partners. Career Independence: Execute a tailored career transition plan to develop the professional skills necessary for a successful move into an independent academic or industry position. Dr. Gu is strongly committed to the professional fulfillment and career advancement of all trainees. He will work on creating a successful transition plan to academia or industry for the fellow in accordance with their evolving preferences. The fellow will have access to the rich research platforms at UT MD Anderson and more broadly the Texas Medical Center, including computation cluster, single-cell core facility, epigenetics core facility, flow cytometry facilities, drug screening core, animal colony, among many others. Eligibility Requirements: Highly motivated individuals who have obtained or are about to obtain a PhD in Biology, Bioinformatics, Computer Science, or related areas are encouraged to apply. Proven track record of publications, excellent written and oral communication skills are required. Preferences will be given to those with research experience in immunology, CRISPR screening, animal models, or cancer genomics. Additional Application Information: Ongoing projects include: (1) Modulating cancer antigen presentation to potentiate immunotherapy; (2) Mapping the evolutionary trajectories of immune evasion in cancer development. To address these questions, we integrate various cutting-edge experimental and computational approaches in the areas of functional genomics, single cell/spatial multi-omics, cell biology, biochemistry, data mining, machine learning, and mathematical modeling, among others. This position offers an exceptional opportunity to conduct interdisciplinary research at the intersection of cancer biology, immunology, and computational biology within a highly collaborative environment. More research details can be found at: https://www.mdanderson.org/research/departments-labs-institutes/labs/gu-laboratory.html Dr. Gu graduated from University of Toronto with a PhD in Medical Biophysics, did postdoctoral training at Harvard Medical School and Dana-Farber Cancer Institute, and joined MD Anderson Cancer Center as Assistant Professor in November 2022. He has excellent track record in highly collaborative and interdisciplinary research in cancer biology, immunology, and computational biology, as demonstrated by recent (co)first and corresponding author papers/preprints: Cancer immunology: (Jiang, Gu, Pan et al., Nature Medicine, 2018; Gu, Wang, Hu et al., Genome Biology, 2020; Shi, Gu et al., Clinical Cancer Research, 2020; Gu, Zhang, Wang, Jiang et al., Cancer Discovery, 2021; Wang, Tokheim, Gu, Wang et al., Cell, 2021; Zeng, Gu et al., Cancer Immunology Research, 2022) Computational biology: (Gu et al., PNAS, 2021; Zeng, Gu et al., Science Advances, 2022; Chen et al., bioRxiv, 2025) Leukemia biology: (Gu, Chan, Mohi et al., Blood, 2016; Gu et al., Leukemia, 2018; Garber et al., bioRxiv, 2025) 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 We need to remove boilerplate: EEO, legal statements, etc. Also remove application instructions (like "More research details can be found at:"? That's maybe okay but it's a link; but we can keep as part of description? The instruction says remove application instructions. The link to more research details is not exactly an application instruction; it's more info. Might keep but it's not a list. Could keep as a paragraph. We need to produce sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have content. About the role: Could be a paragraph describing the role/fellowship. We have description: "The Shengqing (Stan) Gu lab at UT MD Anderson Cancer Center seeks a highly motivated Postdoctoral Fellow with a strong biomedical research background to join our team. The Gu laboratory is an interdisciplinary ang highly collaborative team focused on understanding how dysregulation of cell-cell interactions shape tumor development and drive immune evasion - a key process underlying cancer progression and therapy resistance. We are seeking a well-organized, highly motivated postdoctoral fellow with extensive experience in cancer immunology and/or computational biology. The fellow will work closely with local experimental and/or computational collaborators in seeking to enhance the efficacy of cancer immunotherapy, such as by modulating cancer antigen presentation or elucidating the evolution of immune evasion. In addition, the fellow will also benefit from collaborations with former colleagues of Dr. Gu at many institutes. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations." That's good for About the role. Responsibilities: Could be the learning objectives list (Advanced Research Design & Execution etc). Those are responsibilities/learning objectives. Could also include ongoing projects. We'll put responsibilities as a
  • list of the learning objectives. Requirements: Eligibility Requirements: PhD, publications, communication skills, preferences for immunology, CRISPR screening, animal models, cancer genomics. Qualifications: Could be similar to requirements? Might combine. But we need separate sections only if content. Could put qualifications as "Preferred qualifications: experience in immunology, CRISPR screening, animal models, cancer genomics." But we already have preferences in requirements. Might treat Requirements as mandatory (PhD, publications, communication skills). Qualifications as preferred (immunology, CRISPR, animal models, cancer genomics). We'll see. Skills: Could list technical skills: multi-omics, genomics, single-cell, spatial, functional genomics, CRISPR screening, computational biology, AI tools, data mining, machine learning, mathematical modeling, flow cytometry, drug screening, etc. Also communication, leadership. Benefits: The posting mentions "excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition". Also access to research platforms (computation cluster, single-cell core facility, epigenetics core facility, flow cytometry facilities, drug screening core, animal colony). Those could be benefits. We'll include benefits section with those items. Pay: Salary range $64,000 to $76,000 depending on years of postgraduate experience. Schedule: Not explicitly mentioned; maybe full-time postdoc position. It says "MD Anderson offers full-time postdoc positions". So schedule: Full-time. We can include Schedule section with "Full-time". That's specific. We must avoid filler like "commensurate with experience" etc. We have actual numbers. Now produce HTML fragment with headings

    for each section. We need to ensure we don't repeat job title as heading. Not needed. We must not include markdown fences. Let's craft. Structure:

    About the role

    ... paragraph ...

    Responsibilities

    • Lead independent research projects dissecting cancer-associated immune evasion and drug resistance mechanisms in leukemia.
    • Develop a comprehensive understanding of T-cell-mediated immunity and cancer-associated immune evasion.
    • Master the integration and analysis of complex datasets, including single cell/spatial multi-omics, functional genomics, and CRISPR screening.
    • Develop and/or use computation and AI tools to analyze experimental data and solve biomedical questions.
    • Collaborate with comprehensive institutional core facilities to translate basic findings into novel targeted and immunotherapeutic strategies.
    • Lead the drafting of high-impact scientific manuscripts, present findings at multidisciplinary seminars, and collaborate with internal and external research partners.
    • Execute a tailored career transition plan to develop the professional skills necessary for a successful move into an independent academic or industry position.
    Maybe also include ongoing projects as responsibilities? Could add but not necessary.

    Requirements

    • PhD obtained or imminent in Biology, Bioinformatics, Computer Science, or related area.
    • Proven track record of publications.
    • Excellent written and oral communication skills.

    Qualifications

    • Research experience in immunology.
    • Experience with CRISPR screening.
    • Experience with animal models.
    • Experience in cancer genomics.

    Skills

    • Multi-omics and genomics analysis (single-cell/spatial, functional genomics).
    • Computational biology and AI tool development/use.
    • Data mining, machine learning, mathematical modeling.
    • Flow cytometry and drug screening techniques.
    • Scientific writing, presentation, and leadership.

    Benefits

    • Medical, dental, paid time off, retirement.
    • Tuition benefits and educational opportunities.
    • Individual and team recognition.
    • Access to MD Anderson research platforms: computation cluster, single-cell core

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