Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Dana-Farber Cancer Institute
3 days ago
Postdoctoral Fellow in Computational RNA Biology and Cancer Dana-Farber Cancer Institute in United States
Degree Level
Postdoc
Field of study
Cancer Biology
Funding
The advertised hiring range is $72,000–$76,385 per year. Individual salary is determined by factors including experience, skills, market conditions, internal equity, and organizational needs.
Deadline
Jan 5, 2027
Country
United States
University
Dana-Farber Cancer Institute
Apply for this position
Keywords
Suggested positions
Raunak Shrestha
Uniformed Services University of the Health Sciences
United States
2 weeks ago
The Shrestha Lab at CPDR is hiring a Postdoc to work at the intersection of Computational Biology , Machine Learning , and AI . The post is shared by Raunak Shrestha , Assistant Professor at the Uniformed Services University of the Health Sciences (USUHS), and the lab is seeking motivated candidates for a research role in bioinformatics and cancer genomics. This opportunity is especially relevant for applicants with interests in data-driven biomedical research, computational methods, and transla...
2 weeks ago
Dana-Farber Cancer Institute
United States
3 weeks ago
Postdoctoral Research Fellow opportunity in computational biology at the Gillani Lab , Dana-Farber Cancer Institute, focused on computational pediatric cancer research . The role centers on analysis of genomic, transcriptomic, and epigenomic datasets to identify targetable biology and clinical biomarkers that can improve care for pediatric, adolescent, and young adult cancer patients. Research projects include whole-genome sequencing, single-cell sequencing, resistance to cancer therapies, patie...
3 weeks ago
Broad Institute
United States
3 weeks ago
Broad Institute is recruiting a Postdoctoral Associate in Computational and Experimental Functional Genomics in Rare Disease within the Neal Laboratory and the Broad Institute’s Novo Nordisk Foundation Center for Genomic Mechanisms of Disease. This role is centered on rare disease , functional genomics , quantitative imaging , computational biology , and drug discovery . The project, called Project Encore , is supported by an NIH Director’s Transformative Research Award and aims to build scalabl...
3 weeks ago
University of Michigan Medical School
United States
2 weeks ago
NIH-funded Postdoctoral Research Fellow position available immediately in the Department of Pathology, University of Michigan Medical School (Ann Arbor Campus, onsite). The research group studies epigenetics , biochemistry , cell biology , and transcriptomics in acute myeloid leukemia (AML) and acute lymphoid leukemia . Projects include epigenetic protein complex regulation, leukemia modeling in mice, genome-wide epigenetic alterations, self-renewal gene programs, pro-leukemic gene programs, and...
2 weeks ago
The University of Texas MD Anderson Cancer Center
United States
3 weeks ago
UT MD Anderson Cancer Center is advertising a Postdoctoral Fellow position in the Gu laboratory focused on hematopoietic biology, malignancy, cancer immunology, computational biology , and leukemia . The lab studies how dysregulated cell-cell interactions shape tumor development and immune evasion, with projects centered on modulating cancer antigen presentation to improve immunotherapy and mapping the evolutionary trajectories of immune evasion in cancer. The role is highly interdisciplinary an...
3 weeks ago
About this position
Dana-Farber Cancer Institute is recruiting a Postdoctoral Research Fellow in Computational RNA Biology and Cancer to join the Insco Laboratory in the Department of Medical Oncology in Boston, United States.
The Insco Lab studies how aberrant RNA processing and defects in nuclear RNA quality control contribute to cancer, with a particular focus on melanoma. A central theme is the dark transcriptome, including aberrant RNAs produced from repetitive genomic elements and mis-spliced transcripts. The group combines zebrafish models, mechanistic studies in human melanoma cell lines, and patient-derived datasets to identify RNA-driven oncogenic mechanisms and therapeutic vulnerabilities in high-risk melanoma.
The fellow will lead an independent project within a collaborative and supportive research environment. Research may include analysis of transcriptomic datasets generated using Oxford Nanopore direct RNA sequencing, PAR-CLIP, ribosome profiling, single-cell RNA sequencing, and DMS-MaP. Potential directions include dark transcriptome annotation, peptide prediction, RNA modification analysis, and RNA structure analysis.
The position is jointly mentored by David Liu, a melanoma medical oncologist and translational scientist with a software-engineering background. His laboratory develops biologically informed predictive models using statistical and machine-learning approaches. The fellow will contribute to computational tool development, reproducible workflows, data and bioinformatics infrastructure, research manuscripts, scientific presentations, and mentorship of trainees.
Dana-Farber Cancer Institute is a major cancer research and patient-care institution affiliated with Harvard Medical School hospitals. Its research community emphasizes rigorous, collaborative, inclusive, and patient-relevant cancer science.
Funding details
The advertised hiring range is $72,000–$76,385 per year. Individual salary is determined by factors including experience, skills, market conditions, internal equity, and organizational needs.
What's required
Applicants must hold a PhD or equivalent doctoral degree in biomedical, computational, or related sciences. Required qualifications include experience analyzing complex transcriptomic or functional genomics datasets, proficiency in Python and R, and experience using high-performance computing environments for large-scale biological datasets. Experience in RNA biology, transcriptional biology, and/or cancer biology is desirable; experience in computational modeling of protein complexes is a plus. Candidates should demonstrate strong critical-thinking, scientific writing, and communication skills, a record of scientific accomplishment including at least one peer-reviewed original research publication, and the ability to work independently and collaboratively.
How to apply
Apply through the external Nature Careers application page linked in the advert. Submit the requested application materials and supporting documents through the application portal.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.