Bioinformatics Scientist - Tenders Global

Bioinformatics Scientist

Mayo Clinic

tendersglobal.net

Mayo Clinic Health System

Summary

The laboratory of Dr. Akhilesh Pandey in the Department of Laboratory Medicine and Pathology at Mayo Clinic, Rochester, Minnesota has a position for a Bioinformatics Scientist to work on multiple aspects of large Omics datasets including genomics, transcriptomics, proteomics, and metabolomics. Mayo Clinic is the nation’s best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider.

About Dr. Pandey’s Laboratory

The advancement of multi-Omics technologies in the recent years and their diverse applications in the study of health and disease is revolutionizing the research landscape. Analysis, integration, and harmonization of the big-data from multi-Omics technologies is crucial for development of novel insights that can provide new insights into health and disease; and can be translated into clinical applications. Dr. Pandey’s research group (https://akhileshpandey.org/) in the Department of Laboratory Medicine and Pathology at Mayo Clinic, Rochester is a pioneer in the field of systems biology and mass spectrometry-based proteomics. The central theme of Dr. Pandey’s research group (https://akhileshpandey.org/) involves to application of cutting-edge multi-Omics technologies to develop diagnostics and therapeutics on a variety of diseases utilizing advanced data analysis as well as integration techniques in combination with machine-learning. The successful applicant will contribute to our efforts on development of diagnostics and therapeutic targets for a number of diseases including cancer.

Core Responsibilities

  • Development, optimization, and deployment of data processing pipelines for diverse multi-Omics datasets.
  • Integrate newly generated data with existing publicly available databases (e.g. TCGA).
  • Develop novel machine-learning algorithms to model disease prediction and stratification methods.
  • Facilitate data-driven insights for novel hypotheses generation and better understanding of the disease/phenotype.
  • Collaborate with multidisciplinary teams to introduce data science applications into new research themes to advance the research landscape.
  • Provide data visualization and aid in dissemination of the research output.

Qualifications

  • Master’s/Ph.D. in Bioinformatics, Data Science, or related fields.
  • High proficiency in LINUX environments as well as programming languages such as Python, and R.
  • Hands-on experience in working with high-performance clusters, job submissions in clusters, and network storage.
  • Experience in managing and analyzing large multi-OMICS datasets such as genomics (WES/WGS), transcriptomics (bulkRNA-Seq/scRNA-Seq), proteomics, and metabolomics.
  • Experience in working with cloud environments such as AWS is desirable.
  • Understanding of best practices in software development (e.g., version control) is desirable.
  • Knowledge and experience in basic statistical concepts and machine learning (Linear Regression, Logistic Regression, Pandas, Scikit-learn, Numpy, Keras, TensorFlow, PyTorch, etc.) is desirable.

Salary

Salary will be commensurate with qualifications, experience and accomplishments.

How to Apply

Please submit a cover letter, and CV with contact information of 2-3 references using the submission form given below. Short-listed candidates will be invited for an online interview. The position will remain open until filled.

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