• A PhD in bioinformatics, mathematics, statistics, computational biology, computer science, or a related field with a minimum of 5 years of relevant work experience.
• Excellent written and oral communication skills.
• Expertise in developing algorithms for pattern recognition, classification and prediction, statistical data analysis and data mining.
• Strong programming skills in scientific software development. Experience with bioinformatics software packages, database systems for biomedical data, genomic and proteomic databases. Familiarity with languages such as R, Python, Java, or C++/C# is preferred.
• The ideal candidate should have a demonstrated ability to multi-task, complete projects and publish results in a timely manner.
• The successful candidate must have a good publication record during his PhD and subsequent job positions, must be a team player, self-motivated, independent and with a can-do attitude.
The Center for Proteomics is a new 3400 sq. ft. facility outfitted with state-of the-art nano-LC, mass spectrometers, and relevant laboratory equipment. In addition to providing a core resource to support collaborative proteomics studies within the TGen community, this new facility will house a world-class, first-of-its kind, industrial scale, yet academically oriented, high-throughput Proteomics Biomarker Validation Unit focused on targeted proteomic technologies such as Multiple Reaction Monitoring Mass Spectrometry and antibody-based enrichment strategies. The Center for Proteomics aligns with TGen’s world-recognized experts in DNA and RNA sequencing, where discovery of novel spliced genes contributes to understanding human disease; additionally, the Center’s phosphoproteomics competencies support Systems Biology and drug discovery & development of targeted therapeutics. Inter- and intra-institutional collaborations with health care professionals, policy makers, and researchers in the discovery, development, and validation of diagnostic biomarkers and targeted therapies (precision medicine) keep this opportunity at the forefront of this fast-moving translational field.