To apply for this position, please visit https://openwetware.org/wiki/Chenlab:Recruiting
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.
Responsibilities:
- 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.
Qualifications: 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.
Job Type: Full-time
