Postdoctoral Fellow in Computational Biology

H. Lee Moffitt Cancer Center

Tampa, FL

Job posting number: #7100085 (Ref:hlj_37540)

Posted: May 13, 2022

Application Deadline: Open Until Filled

Job Description

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. 



  • 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 [email protected]


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.

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More Info

Job posting number:#7100085 (Ref:hlj_37540)
Application Deadline:Open Until Filled
Employer Location:H. Lee Moffitt Cancer Center
United States
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