The Jin Lab in the Department of Genetics at Washington University School of Medicine is seeking talented and enthusiastic staff computational biologists, postdocs, WashU graduate & undergraduate students, and visiting scholars. The Jin Lab develops computational methodologies for integrative genomic analysis of functional genomic data to better understand the complex genetic models driving congenital/neurological diseases, including congenital heart disease, congenital hydrocephalus, cerebral palsy, and Alzheimer’s Disease.
Applying these results, we aim to characterize the biological mechanisms disrupted by pathogenic mutations using molecular genetics and cell biological approaches with the goal of translating these findings into effective therapeutic treatments.
Dr. Jin’s research experience is available here: https://www.linkedin.com/in/sheng-chih-jin-3b60a011.
Staff Computational Biologist
To fulfill this mission, we are searching for a creative, motivated scientist with diverse
experiences and interests in genetics to join an interdisciplinary team to transform human
disease genetic discoveries into testable biological hypotheses. We are looking for a
computational biologist, software engineer, or bioinformatician with extensive experience in
developing cutting edge tools to analyze high-throughput sequencing-based experiments,
including but not limited to whole exome/genome sequencing, RNA-sequencing, ChIPsequencing, single-cell RNA-sequencing, and ATAC-sequencing. Experience in analyzing
and interpreting human genetic data and cancer genomics projects is preferred.
The ideal candidate will be proficient in programming (Python or C++), statistical analysis
packages (Matlab or R), UNIX-like operating system and high-performance computing, and
will write software that follows industry best practices. The ability to analyze and interpret
results and to communicate well with others and work with teams of scientists, programmers
and clinicians is required.
The Jin Lab is looking for an energetic and motivated individual to work as a Postdoctoral
Associate within a highly dynamic research team of scientists, computational biologists,
experimentalists, and clinicians.
The Jin Lab works at the intersection of genomics, human genetics, pediatrics, and
neuroscience. We are curious about many things and are enthusiastic about what we do. We
are currently focusing on the formulation, development, and application of genetic,
genomics, and bioinformatics methods to better analyze and integrate exome and genome
sequencing, SNP array, RNA-sequencing, epigenomic, metabolomic, and proteomics data.
Through integration of diverse types of transcriptomic and epigenetic functional annotations,
the integrative genomic analysis will provide better understanding of the molecular basis of
cardiovascular diseases, neurodevelopmental disorders, and neurodevelopmental disorders,
with a specific focus on the interplay between rare protein-coding and common-noncoding
variants. We collaborate with clinicians, multiple genetic consortia, and the Yale Center for
Mendelian Genomics to assemble thoroughly phenotyped cohorts for gene discovery and set
up a robust recruitment platform that includes domestic and international collaboration and
social media. We also collaborate with experimentalists to design scalable high-throughput
assays to model effects of disease-associated mutations using a model organism and/or cellbased experiments to identify genes/pathways that affect disease susceptibilities.
To be considered for this role, please email Dr. Jin at email@example.com with the following
items: 1) CV with a list of publications; 2) a short summary of your present and future
research interests; 3) a list of three references with their contact information. Diverse
expertise will be considered.
The ideal applicant will hold a PhD or MD/PhD, have prior research experience in molecular
biology, computational biology, genomics, biomedical engineering, applied mathematics or
computer science, or other related fields with strong quantitative training, and prior peerreviewed publications. We train postdocs with a biology background who would like to
develop bioinformatics skills. We are equally interested in postdocs with a computer science
background who would like to apply these skills to studying human genetics and improving
personalized medicine. The candidate will be expected to plan and carry out research tasks
independently and write-up/present findings on a regular basis.
Undergraduates, summer interns and visiting scholars
Washington University School of Medicine at Washington University Medical Campus,
Department of Genetics, genetics.wustl.edu
If you are an undergraduate/graduate student or a visiting scholar and looking for temporary
lodging, please email Dr. Jin at firstname.lastname@example.org for discussion.