美國(guó)貝勒醫(yī)學(xué)院2023年招聘博士后（生物信息學(xué)）
貝勒醫(yī)學(xué)院（Baylor College of Medicine）是美國(guó)休斯敦的一所私立醫(yī)藥學(xué)校，被認(rèn)為是全美最杰出的醫(yī)學(xué)院之一，獲中國(guó)教育部認(rèn)證。 [5]學(xué)校在世界范圍內(nèi)的生物醫(yī)藥研究領(lǐng)域處于領(lǐng)先地位，學(xué)校最早建立于一九零零年，迄今為止已經(jīng)有一百多年的悠久歷史了。
貝勒醫(yī)學(xué)院為學(xué)生提供財(cái)政援助和獎(jiǎng)學(xué)金，幫助學(xué)生減輕就學(xué)期間的經(jīng)濟(jì)壓力，符合要求的學(xué)生都可以申請(qǐng)獎(jiǎng)學(xué)金和財(cái)政援助。學(xué)校致力于醫(yī)藥和研究生教育，并且因而獲得了超過一億美金的捐贈(zèng)，是美國(guó)六十三所獲得超過一億捐贈(zèng)的優(yōu)秀大學(xué)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.
