Postdoctoral Fellow - Biostatistics

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID. Remove boilerplate, EEO, etc. Preserve all substantive info. Let's parse the posting. Content: - Department of Biostatistics at MD Anderson seeking Postdoctoral Fellow to conduct methodological research in spatial transcriptomics and computational biology. Primary focus: develop novel computational and statistical methods for analysis and integration of spatial omics data. Potential research directions include 3D reconstruction and modeling of spatial transcriptomics data, inference of cell-cell interactions and spatial cellular organization, integration of spatial and single-cell omics data, AI/ML approaches for spatial omics analysis. Fellow will have flexibility to develop new research directions based on background and interests. Fellow will develop novel methodologies, implement scalable computational tools and software, evaluate methods through simulations and benchmarking against existing approaches, apply them to large-scale spatial and single-cell datasets in collaboration with cancer researchers. Fellow will work under supervision of Dr. Ziyi Li in Department of Biostatistics at MD Anderson. Position provides opportunities to work on challenging methodological problems involving spatial omics, computational modeling, machine learning, statistical analysis, scientific visualization, with strong emphasis on methodological innovation, software development, high-impact publications. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, applicable federal and state regulations. - LEARNING OBJECTIVES: bullet list (but we can treat as responsibilities or qualifications). Let's extract: Gain expertise in computational and statistical methodology for single-cell and spatial omics, with particular focus on spatial transcriptomics and characterization of tissue architecture and cellular organization. Develop novel computational and statistical methods for spatial omics, including 3D reconstruction and modeling of spatial transcriptomics data, inference of cell-cell interactions and communication, and integration of spatial and single-cell datasets. Develop advanced skills in computational modeling, machine learning, and AI approaches for analyzing large-scale, high-dimensional spatial omics data. Apply and evaluate newly developed methods using simulation studies, benchmarking against existing approaches, and applications to real-world spatial and single-cell datasets from cancer research. Strengthen programming and scientific computing skills in R and Python, with hands-on experience in developing scalable, reproducible, and user-friendly software tools for spatial omics analysis and visualization. Gain experience in translating methodological innovations into open-source software and high-impact scientific publications, while collaborating with biostatisticians, computational scientists, and cancer researchers on challenging biomedical problems. - Eligibility Requirements: Applicants should have a recent PhD in Biostatistics, Statistics, Bioinformatics, Computer Science, Computational Biology, Biomedical Informatics, or a closely related quantitative field. Candidates with strong methodological and computational training are particularly encouraged to apply. Applicants should have a strong background in at least one of the following areas: statistical methodology, bioinformatics, machine learning/AI, computational biology, or high-dimensional data analysis. Experience with single-cell or spatial omics data is highly desirable but not required. Candidates with strong backgrounds in machine learning, statistical modeling, or algorithm development who are interested in transitioning into spatial omics research are also encouraged to apply. Strong programming skills in R and/or Python are required. Experience with scientific software development, high-performance computing, deep learning frameworks, or analysis of large-scale genomic datasets is a plus. Applicants should demonstrate strong research potential through peer-reviewed publications, including at least one first-author publication or equivalent evidence of substantial independent research contributions. The ideal candidate will be highly motivated to develop novel computational and statistical methodology, work collaboratively with biostatisticians and biomedical researchers, and publish high-quality methodological and applied research. - Additional Application Information: Please send a CV and contact information for three references directly to zli16@mdanderson.org. (We should drop application instructions? The instruction says: Remove application instructions. So we should not include that line.) - 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. (We can include benefits and pay sections. Also schedule? Not mentioned. Offsite work arrangements subject to approval - maybe schedule? Not explicit schedule like full-time. We could include a Schedule section if there is info about full-time. It says full-time postdoc positions. So we can include Schedule: Full-time. But we need to avoid filler like "not specified". It's specified as full-time. So we can include Schedule section with that. - Benefits: medical, dental, paid time off, retirement, tuition benefits, educational opportunities, individual and team recognition. Also mention offsite work arrangements subject to approval (maybe part of benefits? but we can include in Benefits). We'll keep. - Pay: salary ranging from $64,000 to $76,000 depending on years of postgraduate experience. Now we need to decide sections. We have: About the role: could be a paragraph summarizing the position. Responsibilities: list of duties (develop novel methodologies, implement scalable computational tools, evaluate methods, apply to datasets, collaborate, etc.) Requirements: maybe eligibility requirements (PhD, background areas, programming skills, etc.) Qualifications: maybe similar to requirements? Could combine. But we need to avoid duplication. The instruction: Prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements (which includes eligibility and qualifications), Skills (programming skills, experience), Benefits, Pay, Schedule. We must not create sections with filler. Ensure each section has real content. Let's draft. About the role: a paragraph describing the position: Postdoctoral Fellow in Department of Biostatistics at MD Anderson focusing on methodological research in spatial transcriptomics and computational biology, developing novel computational and statistical methods for spatial omics, etc. Responsibilities: bullet list of duties: develop novel computational and statistical methods for spatial omics; implement scalable computational tools and software; evaluate methods via simulations and benchmarking; apply methods to large-scale spatial and single-cell datasets in collaboration with cancer researchers; work under supervision of Dr. Ziyi Li; develop new research directions based on background and interests; translate methodological innovations into open-source software and high-impact publications; collaborate with biostatisticians, computational scientists, cancer researchers. Requirements: bullet list: recent PhD in Biostatistics, Statistics, Bioinformatics, Computer Science, Computational Biology, Biomedical Informatics, or closely related quantitative field; strong background in at least one of: statistical methodology, bioinformatics, machine learning/AI, computational biology, high-dimensional data analysis; strong programming skills in R and/or Python; experience with single-cell or spatial omics data highly desirable but not required; demonstrated research potential via peer-reviewed publications including at least one first-author publication or equivalent; experience with scientific software development, HPC, deep learning frameworks, or large-scale genomic datasets a plus. Skills: maybe list programming languages, tools: R, Python, scientific software development, HPC, deep learning frameworks, etc. But we already covered some in Requirements. Could combine. But we need to avoid duplication. Perhaps we keep Requirements as eligibility and qualifications, and Skills as specific technical skills: R, Python, software development, HPC, deep learning, etc. However some overlap. The instruction: prefer few substantive sections over many thin ones. So maybe we combine Requirements and Skills into one section called Requirements (or Qualifications). But we need to follow the headings list: we can use any of those headings but only if we have content. We could have About the role, Responsibilities, Qualifications, Benefits, Pay, Schedule. That's six sections. That seems fine. Qualifications would include eligibility, background, programming skills, experience, publications, etc. Let's do that. Now Benefits: bullet list: medical, dental, paid time off, retirement, tuition benefits, educational opportunities, individual and team recognition; offsite work arrangements subject to approval (maybe include). Also mention that the position may involve security infrastructure reviews (maybe not a benefit). We'll keep benefits as listed. Pay: paragraph: salary range $64,000 to $76,000 per year, depending on years of postgraduate experience. Schedule: paragraph: full-time postdoctoral position. Now ensure we don't include boilerplate like EEO, legal statements, application instructions, etc. We also need to remove duplicated lines. Ensure we preserve all substantive info. Let's craft HTML. We'll use

for each section heading. Inside each section, we can have

for prose,

• for lists. We need to avoid repeating job title. Not include. Let's write. About the role:

  The Department of Biostatistics at The University of Texas MD Anderson Cancer Center is seeking a highly motivated Postdoctoral Fellow to conduct methodological research in spatial transcriptomics and computational biology. The primary focus is to develop novel computational and statistical methods for the analysis and integration of spatial omics data, including 3D reconstruction and modeling of spatial transcriptomics data, inference of cell‑cell interactions and spatial cellular organization, integration of spatial and single‑cell omics data, and AI/ML approaches for spatial omics analysis. The fellow will have flexibility to develop new research directions based on their background and interests, and will work under the supervision of Dr. Ziyi Li.

  Responsibilities:
  • Develop novel computational and statistical methods for spatial omics.
  • Implement scalable computational tools and software.
  • Evaluate proposed methods through simulations and benchmarking against existing approaches.
  • Apply methods to large‑scale spatial and single‑cell datasets in collaboration with cancer researchers.
  • Translate methodological innovations into open‑source software and high‑impact scientific publications.
  • Collaborate with biostatisticians, computational scientists, and cancer researchers on challenging biomedical problems.
  Qualifications:
  • Recent PhD in Biostatistics, Statistics, Bioinformatics, Computer Science, Computational Biology, Biomedical Informatics, or a closely related quantitative field.
  • Strong background in at least one of: statistical methodology, bioinformatics, machine learning/AI, computational biology, or high‑dimensional data analysis.
  • Strong programming skills in R and/or Python.
  • Experience with single‑cell or spatial omics data is highly desirable but not required.
  • Demonstrated research potential through peer‑reviewed publications, including at least one first‑author publication or equivalent evidence of substantial independent research contributions.
  • Experience with scientific software development, high‑performance computing, deep learning frameworks, or analysis of large‑scale genomic datasets is a plus.
  Benefits:
  • Medical and dental insurance
  • Paid time off
  • Retirement plans
  • Tuition benefits
  • Educational opportunities
  • Individual and team recognition
  • Offsite work arrangements subject to approval (may be modified or revoked based on business needs, performance, or regulatory requirements)
  Pay:

  Salary range: $64,000 to $76,000 per year, depending on the number of years of postgraduate experience.

  Schedule:

  Full‑time postdoctoral position.

  Check for any leftover boilerplate: we omitted EEO, legal statements, application instructions, security infrastructure mention (maybe not needed). The security infrastructure mention is not a benefit or responsibility; it's