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Dana-Farber Cancer Institute

Postdoctoral Research Fellow - Computational Biologist

Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298

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Overview

The Center for Functional Cancer Epigenetics (CFCE) is looking for a highly motivated postdoctoral scientist with a strong computational background to join the Department of Medical Oncology at the Dana-Farber Cancer Institute. The candidate will join a team that analyzes single cell and spatial transcriptomic datasets using AI/ML methods to advance translational cancer genomics and precision cancer medicine. The focus is on identifying biomarkers to predict bladder cancer patient response to IO therapy by analyzing high-resolution imaging and single-cell data from patient tumors with sophisticated machine learning approaches. These datasets will support new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. Location: Boston, MA. Dana-Farber Cancer Institute is committed to creating an inclusive, diverse, and equitable environment and to diversifying its faculty and staff. Responsibilities

Apply existing and novel AI/ML approaches to cancer single cell and spatial transcriptomic datasets, including assessing data quality metrics, analyzing H&E images and transcriptional data from a large bladder cancer patient cohort, and critically reviewing results. Implement and run best-practice methods in programming languages (Python, R) in local and cloud-based analysis platforms. Collaborate with a team of biologists and clinical scientists to analyze datasets, generate data visualizations, and test hypotheses as part of a biomarker project. Maintain and document computational pipelines/scripts and analyses using appropriate tools and GitHub repositories. Communicate results of data analyses to key stakeholders, including clinicians and external collaborators. Adapt plans and priorities as project goals evolve. Qualifications

PhD in Biology or computer science or a related field. Experience with AI/ML methods for image and/or genomic analysis. Experience with programming languages such as Python, R, shell scripting, Snakemake, etc. Experience with high-throughput next-generation sequencing data is a plus. Excellent oral, written, and organizational skills; ability to work independently and proactively. Equity and Employment Information

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

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