PostDoc / Research Scientist in Computational Omics + AI - Yale School of Medicine : Job Details

Position: PostDoc / Research Scientist in Computational Omics + AI

Location: Yale School of Medicine, Yale University

Our lab moved to Yale last year and are looking for talented postdocs or research scientists who are interested in the frontiers of biomedicine questions with the power of large-scale multi-omics data and new computational tools and AI models. This role provides a competitive salary and benefits, and most importantly a unique opportunity to collaborate with world-class researchers at Yale.

About us

Founded in 1810, the Yale School of Medicine is a world-renowned center for biomedical research, education, and advanced health care at Yale University. The school consistently ranks among the leading recipients of research funding and is affiliated with prestigious institutions such as Yale-New Haven Hospital and the Connecticut Mental Health Center.

The Dong Lab ( is a core member of the newly founded Stephen and Denise Adams Center for Parkinson's Disease Research, affiliated with the Department of Neurology and the section of Biomedical Informatics & Data Science. Located in the new twin towers on College street in Yale campus, Dong Lab is an interdisciplinary environment of both dry and wet lab, with a primary focus on computational genomics in neurological diseases using the latest single-cell and spatial omics technologies. We are dedicated to answering important questions in genome biology and brain diseases with computation. We focus on studying transcriptional regulation and non-coding RNAs and their roles in neurological diseases through developing computational methods to integrate and analyze multi-omics and clinical data. We have access to multi-omic data for tens of thousands of human brain and blood samples, clinical/medication data for tens of millions of neurological patients, and data from many large consortiums. We have extensive experience and expertise in understanding the omics data from biological points of view. Our goal is to bridge the gap between neuroscientists and computational scientists to their mutual benefit and to support cutting-edge, highly quantitative biomedical research. While the primary scientific focus is on brain diseases and fundamental neuroscience, the lab provides opportunities for bioinformatics collaboration for research scientists in Yale.

About you

Do you have a computational background and a strong interest in human genomics? Are you obsessed with how the human genome works in the brain? Do you like to work on big multi-omics data with AI model to find cures or early biomarkers for human brain diseases? If your answer is YES to either question, we have a position for you. In Dong Lab, we'd like to work with you to support your career development by providing opportunities to join large-scale brain disease consortia, access multi-omics datasets from the advanced sequencing technologies, immersive team environment with computational support, and growth plan to independence. We have several projects with well-funded grant support (NIH R01s, U19, R24, ASAP, APDA etc.).

This is a full-time position as a Postdoc or Research Scientist at Yale School of Medicine in New Haven, CT.

Your tasks: By joining the bioinformatics team and working together with molecular biologists from our or collaborator's lab, the Postdoc or Research Scientist will perform a variety of standard analysis (such as RNA-seq, ATAC-seq, various Quantitative Trait Locus (QTL), alternative splicing and polyadenylation), or advanced integrative analysis such as Transformer-based AI models at a bulk, single-cell, or spatial level.

Other responsibilities include:

• Develop and implement algorithms and statistical methods to analyze large-scale sequencing data at a bulk, single-cell, or spatial level
• Design and develop innovative data visualization methods to support genome analysis
• Publish and present novel research findings in academic journals and conferences
• Develop and maintain collaborations both within Yale and also with outside researchers in academia and industry.

Your qualifications:

Applicants are expected to have Ph. D. or equivalent doctoral degree in bioinformatics, computer science, genomics, physics, or mathematics. Ideal applicants should have strong programming skills in (Python & R & (Perl | C | C++ | Matlab | Java)) and good knowledge in algorithms and tools development. Experience in applying LLM to omics is a big plus. Prior experience in analyzing high-throughput sequencing data (RNA-seq, ATAC-seq, WGS etc.) is preferred. Advanced usage of large biological repositories, such as UCSC Genome Browser, Ensembl is a plus. Knowledge of gene regulation or AI modeling is a plus. Experience in GWAS, TWAS, eQTL/pQTL/aQTL, allele-specific gene expression, and alternative splicing is a plus. Knowledge or experience in single-cell or spatial omics analysis is a plus. Excellent English communication skills are required. Prior experience in neurology or neurosciences is not required, but helpful. Candidates must have a track record in publication (e.g. at least one first-author publication). Furthermore, the ability to work in a team and experience in the supervision of students is an asset.

Informal inquiries may be directed to Dr. Dong ([email protected]).

We expect to fulfill the position as soon as possible. For consideration for this position, please email (1) your CV, (2) a cover letter outlining your motivation, goals, strength, and weakness, and (3) contact information for three references to Dr. Dong ([email protected]), and cc to our administrative assistant Corinne ([email protected]) with subject Application to Postdoc / Research Scientist in Computational Omics + AI .

Yale University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, ancestry, age, veteran status, disability unrelated to job requirements, genetic information, military service, or other protected status.