-
Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
-
activities, participate in project meetings relevant to the design, development, implementation, and maintenance of data management system Perform scientifically rigorous data management and bioinformatic
-
learn new research skills based on your interests. These may include performing and analyzing high-throughput drug screening experiments, bioinformatic analyses (single-cell, metabolomics and proteomics
-
to disseminate the study results. Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis. Assist with the design and development of major
-
, cardiology, emergency medicine, pharmacotherapy) training or equivalent clinical training Three (3) years in pharmacy and/or data management and bioinformatic analyses experience Preferred Qualifications: Four
-
, bioinformatics, microscopy, statistical analysis, writing, presentation Subject-matter interest: immunology and/or neurobiology How to Apply: For full consideration, please submit the following document(s): 1
-
. Significant experience with maintaining large datasets Interest and expertise in mutation detection and bioinformatics approaches utilized in the field. Knowledge, Skills and Abilities: Ability to work
-
coding, computational visualization, bioinformatics, laboratory techniques, and data presentation. Key Responsibilities: Conduct computational and laboratory research Collaborate with other physicians
-
statistical genetics and bioinformatics-related projects in the lab. Contribute to mentorship and training, developing educational materials and guiding lab members on statistical genetics and computational
-
government partners to promote public health surveillance and evaluation strategies. The Department conducts cutting-edge methodological research and offers training in biostatistics, bioinformatics, data