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Data management involves capturing information pertaining to biological and cellular activities captured using molecular biology methods, which may includemicroarray and next-generation sequencing.
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In this position, you will work in projects focused on precision medicine, functional roles of genetic variants in complex disease, next generation sequencing and single cell optics. The primary responsibilities include development of analytical pipelines or computational methods, data processing and analysis, results interpretation, management of data, coordination of research projects, prepare reports, assist with manuscripts and grant proposal writing.
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Interact with computational biologists, program biologists, in vivo pharmacologists, pharmacokinetic scientists, and disease expert pathologists to establish dose-response-efficacy relationships, inform on tumor biology, and evaluate combinations to inform on future clinical studies.
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The individual will learn experimental methods related to performing single-cell DNA and RNA sequencing experiments and will learn computational and statistical methods related to analyzing the resulting datasets.
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Assists with management of the computational implementation of clinical next-generation sequencing and microarray genomic technologies. Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Support functional development of the OncoSeek genomics annotation and reporting engine which has been used to generate all >30,000 genomic next-generation sequencing panel reports at MD Anderson since 2012.
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Utilize common molecular and cell biology skills including immunohistochemistry/immunofluorescence, RNAscope, single cell sequencing, etc., to characterize and biobank models. Under moderate supervision perform tissue culture techniques to establish ex vivo oncology model systems from patient derived samples (e.g. organoids in matrigel.
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Experience with general techniques in genetics and molecular biology (DNA, RNA and protein extraction and analysis, genotyping, and sequencing); experience in cell culture; experience with animal models (mouse, rat, zebrafish) would be advantageous but is not required.
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Computational Scientist I - Institute of Molecular Medicine, Human Genetics - In person role. Previous experience working with large-scale genomics datasets (whole exome sequencing, RNA, TCR sequencing; bulk and/or single cells data.
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Candidates with a strong background in tumor immunology, computational biology, stem cell biology, pharmacology, molecular biology/biochemistry, nanomedicine, or pharmacology- demonstrated by a strong publication track record- are strongly encouraged to apply.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Ongoing projects include: 1) elucidating novel mechanisms of immune suppression, particularly in a sex-biased manner, 2) discovering novel immunotherapy targets through single-cell RNA sequencing analysis of human cancers, 3) developing new biologic and nanotherapies to target cancer stem cells and immune suppression in brain cancer and other solid tumors.
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Master's Degree Biological Science, Computational/Programming, Computer science, or related field preferred. Bachelor's Degree Biological science, Computer science, Computational/programming, or related technical area required.
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