Postdoctoral Fellow Opportunities - laboratory of Dr. Noemi Andor
- H. Lee Moffitt Cancer Center
- Location: Tampa, FL
- Job Number: 7071733
- Posting Date: Nov 3, 2020
- Application Deadline: Open Until Filled
Job DescriptionThe laboratory of Dr. Noemi Andor at the Moffitt Cancer Center in Tampa, Florida seeks two recruit two Postdoc Fellows to drive Moffitt’s mission in contributing to the prevention and cure of cancer. Both opportunities are projects part of our NIH-awarded K99/R00.
Dr. Andor’s laboratory is in the Integrative Mathemical Oncology department. IMO integrates mathematicians, computer scientists, and physicists together with imaging specialists as well as clinical and experimental oncologists to develop novel approaches for the treatment and understanding of cancer.
Postdoctoral Fellow in Mathematical Modeling – Req# 33020
Sequencing technologies have evolved to give us an unprecedented resolution on a tumor’s clonal constitution. Yet what we see is only one, or at most a few snapshots in time. Inferring from this data, what factors govern the observed clonal composition and how it will change in the context of our interventions or the absence thereof, is a daunting task. We seek applications from individuals with a PhD in applied mathematics or physics to develop mathematical models that explain the extent of consilience among multiple perspectives on a tumor’s clonal constitution.
• Successful candidate will play a critical role leveraging in-house high-throughput single-cell DNA sequencing datasets, in conjunction with H&E imaging data, to generate testable hypotheses that guide future wetlab experiments.
• This person will be part of a cross-functional effort to inform therapeutic interventions that steer clonal interference into any therapeutically desirable direction.
The Ideal Candidate:
• Experience in designing testable mathematical models to evaluate competitive assumptions about reality is required. Ideal candidate has worked extensively with both, top-down (ODEs, PDEs, adaptive dynamics) and bottom-up approaches (Potts model, lattice-gas CAs, off-lattice) and has experience in choosing the appropriate method for the task at hand. Strong quantitative skills and familiarity with statistical model selection techniques, such as Approximate Bayesian computation are also necessary.
• Successful candidate will work closely with machine learning specialist to perturb ecological balance and interfere with cycling fluctuations in the composition of a metapopulation.
Postdoctoral Fellow in Machine Learning – Req# 32942
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 general metrics of cell fitness using supervised machine learning approaches.
• 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:
• 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 Java and OO programing concepts is also a plus.
• 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.
• Successful candidate will work closely together with mathematicians towards steering the fitness landscape of coexisting cancer clones in a systematic, directed fashion.
How to Apply: Please send your CV and cover letter to Dr. Noemi Andor at Noemi.Andor@Moffitt.org and make note which opportunity/req # you are applying to.
Mission To create a Moffitt culture of diversity and inclusion as we strive to contribute to the prevention and cure of cancer. Vision Moffitt Cancer Center is recognized as the model wherein the diversity of our employees and communities is valued and supported as essential components to contributing to the prevention and cure of cancer. The cancer center is an equal opportunity employer. It is the policy of the cancer center to prohibit unlawful discrimination and harassment of any type and to afford equal employment opportunities to workforce members and applicants, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, veteran’s status or any other characteristic protected by federal, state or local law.