About The Position

The Bhatt Laboratory in the Department of Hematology and Medical Oncology at Emory University School of Medicine is seeking a highly motivated Bioinformatician to join our dynamic research team. The successful candidate will work on high-impact translational research projects that bridge computational analysis with functional biology to identify novel therapeutic strategies for patients with blood cancers. The lab has established a strong track record of high-impact publications and has received prestigious funding from organizations including the American Cancer Society, European Molecular Biology Organization, American Association for Cancer Research, American Society of Hematology, and The Leukemia & Lymphoma Society. Lab website: https://www.bhatt-lab.com

Requirements

  • Bachelor's degree in a scientific field OR equivalent combination of experience, education, and training.

Nice To Haves

  • Bachelor's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or related field with experience in bioinformatics analysis of genomics data (RNA-seq, scRNA-seq, ATAC-seq, or similar)
  • Strong programming skills in R and/or Python
  • Experience with next-generation sequencing data analysis tools and pipelines
  • Proficiency in statistical analysis and data visualization
  • Familiarity with high-performance computing environments and cluster job submission systems
  • Experience with version control systems (Git/GitHub)

Responsibilities

  • Under general supervision, performs a variety of defined research and laboratory tests and experiments according to prescribed protocols and assigned schedules.
  • Sets up experiments as prescribed by a principal investigator.
  • May be required to participate in laboratory maintenance activities such as sterilization and cleaning of equipment, ordering of supplies, inventory and media preparation.
  • Maintains records, files and logs of work performed in laboratory notebooks and computer databases.
  • Compiles data and records results of studies for publications, grants and seminar presentations.
  • Employees in this classification may be required to work with, take specific precautions against and/or be immunized against potentially hazardous agents.
  • Performs related responsibilities as required by principal investigator.
  • Analyze large-scale multi-omics datasets including bulk and single-cell RNA sequencing, ATAC-seq, DNA sequencing, proteomics, and metabolomics data from AML patient samples and preclinical models
  • Perform differential gene expression analysis, pathway enrichment analysis, and network analysis to identify key regulators of therapy resistance
  • Analyze clonal evolution and lineage tracing data to map resistance trajectories during AML treatment
  • Integrate functional genomics data (CRISPR screens) with transcriptomic and epigenomic datasets to identify therapeutic vulnerabilities
  • Develop machine learning models to predict therapeutic response based on multi-omics features
  • Build predictive algorithms for patient stratification using dynamic BH3 profiling data and molecular profiles
  • Apply dimensionality reduction techniques and clustering methods to identify AML subpopulations with distinct resistance mechanisms
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