美国贝勒医学院博士后职位—生物信息学
美国贝勒医学院博士后职位—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.
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