The University of Pittsburgh
Full Job Description
The University of Pittsburgh’s Department of Medicine is seeking highly motivated researchers with strong analytical and statistical skills to join The Translational Immuno-Informatics Laboratory (TIIL) (https://www.tiilab.org), directed by Jason Luke, MD and Riyue Bao, Ph.D., within the Cancer Immunotherapeutics Center (CIC) of UPMC Hillman Cancer Center (HCC) and University of Pittsburgh (UPitt).
The Bioinformatics Scientist will be responsible for the development of innovative bioinformatics algorithms and tools to resolve complex immuniology and immune-oncology questions. The candidate will work with high-dimensional sequencing and imaging datasets from human specimens with important implications for understanding and changing clinical practice in cancer, autoimmunity, infection, and response to cancer immunotherapy. The candidate will also be responsible for the implementation and benchmarking of analytical immunogenomics workflows on high-performance computing clusters and cloud infrastructure.
The candidate will work in close collaborations with clinicians, physicians, and biologists to assist their high throughput NGS project design, data analysis, and data presentation. The candidate will also carry out independent computational research projects involving methods development, novel algorithm design, in-depth data analysis and integration of lab-generated and publicly available datasets. The candidate will additionally train lab members in basic computational biology/bioinformatics data analysis, including the use of programs in R, Python, etc.
Must have a degree in computational biology, bioinformatics, data sciences, biology or related discipline; other fields of study are acceptable if equivalent expert knowledge can be demonstrated. Must have experience in bioinformatics and large-scale biological data analysis. Ability to apply and be proficient in R/Python/Perl, and shell scripting in a Linux environment is desired. Experience in analyzing NGS datasets such as bulk RNAseq/whole-exome, single-cell RNAseq, and/or metagenomics is preferred. Expertise in biostatistics, digital pathology/image analysis, machine learning, and/or database management are desirable assets. Experience in the cancer immunology or basic immunology field is highly desirable but not required. The incumbent will be expected to follow best coding practices: issue tracking, version control, unit testing, and documentation management.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets
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Posted 30+ days ago