Komen Graduate Training Program UT MDACC
Postdoctoral Fellow - Genomic Medicine
Komen Graduate Training Program UT MDACC, Houston, Texas, United States, 77246
Overview
We seek a talented and highly motivated Postdoctoral Fellow to work as a computational scientist in the laboratory of Dr Kunal Rai, in the Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas. The position focuses on the discovery of cancer-driving epigenome networks by applying computational methods for the analysis of single-cell multiome and spatial transcriptomics and epigenomics (ATAC-Seq/CUT&Tag) datasets and integrating with complex high-dimensional omics datasets from tumor samples across cancer types/malignancies. This role will collaborate with a group of wet-lab and computational scientists to derive novel biological insights and identify biomarkers and therapies. Responsibilities
Apply computational methods to single-cell multiome, spatial transcriptomics and epigenomics (ATAC-Seq/CUT&Tag) datasets and integrate with other high-dimensional omics data from tumor samples across cancer types. Collaborate with wet-lab and computational scientists to derive biological insights and identify biomarkers and therapies. Develop and apply computational tools to gain insights from bulk, single-cell, and spatial epigenomic and transcriptomic data. Devise hypotheses, design analytical plans, and execute strategies to perform innovative science. Work in multidisciplinary cross-functional teams within the lab and department of genomic medicine. Gain experience in grant writing and training junior scientists/students; leadership training opportunities for suitable candidates. Adhere to institutional policies, ethical research standards, and applicable federal and state regulations. Qualifications
Ph.D. in biology, mathematics, or computation science (or related field). Strong skills in statistics and programming, particularly R and Python. Interest in applying state-of-the-art computational/statistical methods to complex data. Experience with analysis of epigenomic data, single-cell and spatial data is highly desired. Ability to work in a collaborative, team-based environment. How to Apply
Interested applicants should submit a Cover Letter describing past research experience/skills/accomplishments, a Curriculum Vitae, and the contact information of three referees to Dr. Kunal Rai at Krai@mdanderson.org with the subject line "Postdoctoral Fellow - Application - Applicant's Name". Position Information
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on 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 involve maintaining the security and integrity of critical infrastructure and may require routine reviews and screening, as defined in applicable law. MD Anderson provides 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 law. EEO policy: http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Faculty Mentor
Kunal Rai
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We seek a talented and highly motivated Postdoctoral Fellow to work as a computational scientist in the laboratory of Dr Kunal Rai, in the Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas. The position focuses on the discovery of cancer-driving epigenome networks by applying computational methods for the analysis of single-cell multiome and spatial transcriptomics and epigenomics (ATAC-Seq/CUT&Tag) datasets and integrating with complex high-dimensional omics datasets from tumor samples across cancer types/malignancies. This role will collaborate with a group of wet-lab and computational scientists to derive novel biological insights and identify biomarkers and therapies. Responsibilities
Apply computational methods to single-cell multiome, spatial transcriptomics and epigenomics (ATAC-Seq/CUT&Tag) datasets and integrate with other high-dimensional omics data from tumor samples across cancer types. Collaborate with wet-lab and computational scientists to derive biological insights and identify biomarkers and therapies. Develop and apply computational tools to gain insights from bulk, single-cell, and spatial epigenomic and transcriptomic data. Devise hypotheses, design analytical plans, and execute strategies to perform innovative science. Work in multidisciplinary cross-functional teams within the lab and department of genomic medicine. Gain experience in grant writing and training junior scientists/students; leadership training opportunities for suitable candidates. Adhere to institutional policies, ethical research standards, and applicable federal and state regulations. Qualifications
Ph.D. in biology, mathematics, or computation science (or related field). Strong skills in statistics and programming, particularly R and Python. Interest in applying state-of-the-art computational/statistical methods to complex data. Experience with analysis of epigenomic data, single-cell and spatial data is highly desired. Ability to work in a collaborative, team-based environment. How to Apply
Interested applicants should submit a Cover Letter describing past research experience/skills/accomplishments, a Curriculum Vitae, and the contact information of three referees to Dr. Kunal Rai at Krai@mdanderson.org with the subject line "Postdoctoral Fellow - Application - Applicant's Name". Position Information
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on 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 involve maintaining the security and integrity of critical infrastructure and may require routine reviews and screening, as defined in applicable law. MD Anderson provides 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 law. EEO policy: http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Faculty Mentor
Kunal Rai
#J-18808-Ljbffr