Postdoctoral Fellow in Computational Biology Postdocs & Fellows Hours: Mon-Fri Day Shift - Full Time Paygrade/Wages/Salary Info: RCH APD - 28.1800 - 32.4000
Postdoctoral Fellow in Computational Biology # Tumor evolution proceeds at a rapid pace. Drug development does not. In order for cancer therapy to achieve a durable response over years rather than months, it must #evolve# as quickly as the tumor does. In contrast to a cell#s DNA, its RNA # the transcriptome # is a highly dynamic machinery which operates within ranges, orders of magnitudes wider than those of the genome. Its role in shaping clonal evolution and implementing a cell#s response to its environment is undoubted, yet nowhere close to#understood. We seek applications from a computer scientist with a Ph.D. and strong background in machine learning to develop a new class of temporal biomarkers of cell fitness using supervised machine learning approaches. # Position Highlights: We#develop software solutions that enable data-driven, clinical, decision-making by providing oncologists and specialized tumor-boards with patient-specific genomic information.#Executing this mission will rely on a long-term synergy between various evolving perspectives on tumor populations and on an interdisciplinary effort to sharpen these perspectives. # The Ideal Candidate: In-depth familiarity with OO programing concepts and 10+ years of experience using them. Experience with 3D and 2D live-cell imaging: cell segmentation and cell tracking. Experience with machine learning approaches, especially supervised methods such as Bayesian MKL, deep neural networks (Bayesian neural nets, LSTM, convolutional) is required. Experience with PyTorch or TensorFlow is also needed. Prior work with very large datasets, such as CIFAR-10 and imaging data pre-processing is preferred but not required. Experience with analysis and interpretation of scRNA-, scDNA-seq, MRI images, H#E images is also a plus.# # Responsibilities: Successful candidate will work with a powerful combination of single-cell RNA sequencing data and live-cell imaging to learn various aspects about a clone#s fitness from its transcriptome. # Credentials and Qualifications: Ph.D. in computer science,#computational biology, or related field # How to Apply: Please send your CV and cover letter to noemi.andor@moffitt.org #