Postdoctoral Fellow in Computational Biology
Apply NowCompany: H. Lee Moffitt Cancer Center
Location: Tampa, FL 33647
Description:
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 of 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 PhD and strong background in machine learning to develop a new class of temporal biomarkers of cell fitness using supervised machine learning approaches.
Position Highlights:
The Ideal Candidate:
Responsibilities:
Credentials and Qualifications:
Moffitt Postdocs are provided with competitive salary and receive free medical coverage for themselves and dependent coverage at subsidized cost, as well as dental, vision, paid time off, retirement, parental leave, and more. Moffitt Postdocs may be eligible for relocation assistance per policy.
Aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more.
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:
- PhD in computer science or computational biology
Moffitt Postdocs are provided with competitive salary and receive free medical coverage for themselves and dependent coverage at subsidized cost, as well as dental, vision, paid time off, retirement, parental leave, and more. Moffitt Postdocs may be eligible for relocation assistance per policy.
Aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more.