美国贝勒医学院2023年招聘博士后（生物信息学）

美国贝勒医学院2023年招聘博士后（生物信息学）

贝勒医学院（Baylor College of Medicine）是美国休斯敦的一所私立医药学校，被认为是全美最杰出的医学院之一，获中国教育部认证。 [5]学校在世界范围内的生物医药研究领域处于领先地位，学校最早建立于一九零零年，迄今为止已经有一百多年的悠久历史了。

贝勒医学院为学生提供财政援助和奖学金，帮助学生减轻就学期间的经济压力，符合要求的学生都可以申请奖学金和财政援助。学校致力于医药和研究生教育，并且因而获得了超过一亿美金的捐赠，是美国六十三所获得超过一亿捐赠的优秀大学之一。

Postdoctoral Associate- Bioinformatics

Baylor College of Medicine

Summary

We are seeking a highly motivated and skilled Postdoctoral Fellow with a strong background in bioinformatics and a keen interest in single-cell omics. The selected candidate will join a dynamic and interdisciplinary research team dedicated to advancing our understanding of neurological diseases at the single-cell level.

Job Duties

・Leads and contributes to the development and application of computational methods for the analysis and integration of single-cell omics data, including single-cell RNA-seq, ATAC-seq, and other emerging technologies.

・Collaborates with experimental biologists to design single-cell experiments, interpret findings, and generate novel biological insights.

・Develops robust pipelines for the preprocessing, quality control, and analysis of single-cell omics data.

・Contributes to the writing and preparation of research papers, grant applications, and presentations for both scientific and lay audiences.

・Maintains an active role in the academic community by attending and presenting at relevant conferences, workshops, and seminars.

Minimum Qualifications

・MD or Ph.D. in Basic Science, Health Science, or a related field.

・No experience required.

Preferred Qualifications

・PhD in Bioinformatics, Computational Biology, Statistics, or a related field.

・Strong programming skills in R and/or Python, and familiarity with bioinformatics tools, databases, and resources.

・Proven experience with single-cell omics data analysis and a good understanding of underlying molecular biology principles.

・Excellent problem-solving skills, ability to work independently and as part of a collaborative team.

・Strong communication skills, both written and verbal, with the ability to convey complex scientific ideas to a diverse audience.

・Experience with machine learning and/or statistical modeling.

・Familiarity with high-performance computing environments and cloud computing platforms.

・Previous experience in mentoring students or junior staff members is a plus.