A lab is a place for us to do good research.
Overview: Two bioinformatics (computational biology) postdoc positions in the laboratory of Dr. Kaifu Chen is available immediately. Dr. Chen is an endowed Associate Professor at Harvard Medical School (#1 medical school ranked by U. S. News & World Report) and the Director of Computational Biology Program in the Department of Cardiology at Boston Children's Hospital (#1 children's hospital ranked by U. S. News & World Report). The lab is well funded by multiple active grants mainly from the NIH and DoD; and has been productive in both development of novel bioinformatics methods (Nature Communications2020a, Nature Communications 2020b, Genome Biology 2020, etc.) and biomedical research on the basis of cutting-edge bioinformatics techniques (Nature 2018, Science 2019, Nature Cell Biology 2020, Circulation 2020, etc). Boston Children's Hospital is a teaching affiliate of Harvard Medical School. Both Harvard Medical School and Boston Children’s Hospital offer rich and dynamic research environments. We are seeking a highly motivated individual to study three-dimensional chromatin conformation and RNA methylation in diseases including cancers and cardiovascular diseases. The position will have salary commensurate with training and experience.
• Develop computational tools, statistical methods, artificial intelligence techniques, machine learning algorithms, and network models to interpret genomic data.
• Single cell sequencing data to study cell identity regulation and dysregulation.
• Hi-C, ChIP-seq, ATAC-seq, and RNA-seq data to study epigenetic regulation of transcription.
• High throughput profiling of RNA methylation, RNA binding proteins, and ribosome positioning to study post transcriptional regulation of gene expression.
• Collaborations between bioinformatician, biologist and clinician to leverage research output, innovation, and significance.
Applicants must have a training in area related to bioinformatics. Experiences with algorithm development and analysis of multiple high-dimension datasets will be a strong plus. Candidates with a PhD or master’s degree in biology, medicine, genomics, bioinformatics, computer science, electronics engineering, mathematics, statistics, physics, or other related area are encouraged to apply.
Commitment to Diversity:
We are committed to cultivating a diverse workplace. We do not discriminate on the basis of race, gender, gender identity, color, religion, age, disability, or national origin. We encourage individuals with diverse backgrounds to apply.