| 查看: 915 | 回复: 10 | |||
| 【有奖交流】积极回复本帖子，参与交流，就有机会分得作者 mellowmeadow 的 32 个金币 ，回帖就立即获得 1 个金币，每人有 1 次机会 | |||
[交流]
Postdoc/Bioinformatician positions in Single-Cell Computational Biology at USA
|
|||
|
Dr. Fan Zhang, PhD, Assistant Professor, PhD, Assistant Professor of Department of Medicine and the Center for Health AI at the University of Colorado School of Medicine is looking for talented computational Postdoc fellow, bioinformaticians, and graduate students. The Zhang lab https://fanzhanglab.org/ (website) focuses on developing and using statistical machine learning methods, single-cell multi-omics, and systems immunology to study inflammatory diseases. Dr. Zhang has published first-authored papers in Nature Immunology, Genome Medicine, BMC Bioinformatics, etc and co-author papers in Nature, Nature Method, New England Journal of Medicine, Science Translational Medicine, Nature Communications, and Bioinformatics, etc. Dr. Zhang is also the Reviewer for Nature, Nature Medicine, PNAS, Nature Communications, Bioinformatics, etc. Before joining the University of Colorado as faculty, Dr. Zhang did her Postdoc research (2017-2021) at Harvard Medical School, Broad Institute of Harvard and MIT, and Brigham and Women's Hospital. Job responsibility: The successful candidate will work on an established project focusing on analyzing newly generated large-scale single-cell mass cytometry (CyTOF) (~20 millions single cells) and single-cell RNA-seq datasets from hundreds of human patients with at-risk rheumatoid arthritis (RA), established RA, and SLE through ongoing collaborative efforts. Besides analyzing and integrating primary single-cell multi-omics data, the candidate will be in an outstanding position to develop computational and statistical tools to solve disease-driven computational problems, e.g. 1) how to associate and integrate CyTOF with single-cell RNA-seq from the same patients, 2) how to more accurately identify pathogenic features that correlate with disease progression from our longitudinal single-cell data, 3) identify which immune cell phenotypes migrate from blood into inflamed tissue, 4) how to associate serology and clinical features with cellular and molecular profiles, etc. Dr. Zhang is also an Investigator involved in the NIH funded Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Consortium. The successful candidate will have the opportunity to make impactful contributions in a fast-paced translational research environment at the cutting-edge of computational biology, single-cell multi-omics, and novel disease-driven immunological findings. Required (minimum) qualifications: Postdoc fellow position: • PhD, or MD/PhD (or graduate soon) in the field of computational biology, systems biology, biostatistics or bioinformatics, statistical genomics, computer science, or other quantitative biomedical sciences • Fluent in R or Python, familiar with working in Linux and bioinformatics reproducibility tools using high-performance computing (HPC) • Salary: $53,760 - $70,000/year depends on expertise and experience Bioinformatician position: • Master degree in Bioinformatics, Biostatistics, Computational Biology, Systems Immunology, Biomedical Engineering or related quantitative biomedical sciences • Fluent in R or Python, familiar with working in Linux and bioinformatics reproducibility tools using high-performance computing (HPC) • Salary: $52,000 - $65,000/year depends on expertise and experience Graduate student: • Welcome PhD graduate students to apply! • We will also consider offering satisfactory salary depending on the expertise and experience of the PhD students Desired qualifications: • A strong background in at least one of the fields of machine learning, statistical modeling, systems biology, and high-dimensional sequencing data analysis • Programming experience (e.g. R or Python) in solving specific biological problems by implementing machine learning methods, including standard dimensionality reduction methods (e.g. principal component analysis, matrix factorization, manifold learning), classical generalized linear mixed model (GLMM, e.g. lme4), standard statistical tests (e.g. ANOVA, likelihood ratio test), canonical correlation analysis, and deep learning (e.g. variational autoencoder, Bayesian deep learning) • Familiar with standard single-cell RNA-seq or other single-cell omics data analysis pipeline, including quality control, dimensional reduction and clustering, batch effect correction, etc • Passion for developing novel analytical and computational methods, such as single-cell multimodal integration for clinical samples • A track record of scientific productivity and paper publication • Ability to thrive in a dynamic research environment and work independently and collaboratively as part of an interdisciplinary scientific team • Ideal candidates with demonstrated experience in any of the following areas will be given priority: CyTOF or single cell transcriptomic data analysis, multi-omics single cell data integration, traditional bulk RNA-seq data analysis, or development of statistical methods for genomics data modeling Ideal candidates can work remotely depends on specific situations! Required application: Please send application to Dr. Fan Zhang fanzhanglab@gmail.com with email title in the format of “Application-Zhang Lab-Your Name”. Please combine the materials below into one PDF file in this order: • Cover letter which addresses job requirements and outlines qualifications (limited to 1 page) • Curriculum vitae • A brief statement of research interests (limited to two pages) • 3 references with name, email, daytime telephone number, and address • Links to 1-2 your best papers if applicable • Links to 1-2 your source code repositories if applicable |
回复此楼» 猜你喜欢
297求调剂
已经有12人回复
-
26调剂 086003
已经有3人回复
-
265求调剂
已经有20人回复
-
271分求调剂学校
已经有11人回复
-
320分人工智能调剂
已经有6人回复
-
求调剂，一志愿南京航空航天大学 ，080500材料科学与工程学硕
已经有8人回复
-
280求调剂
已经有19人回复
-
求材料调剂，一志愿郑州大学289分
已经有15人回复
-
26考研调剂0710 0860
已经有6人回复
-
282求调剂
已经有22人回复
» 抢金币啦！回帖就可以得到:
-
天津理工大学晶体镀膜实验室2026年硕士研究生调剂招生
+3/1404
-
陕西理工大学资源与环境、材料化工部分调剂名额，理工兼收
+1/183
-
西安石油大学新能源学院接收材料类、能源动力类、机械类、计算机类等专业专硕调剂生！
+1/91
-
原子层沉积装备18817872921
+1/90
-
湖北大学生科院邢琼老师课题组招硕士/博士,目前还有调剂名额！
+1/45
-
河北大学无机化学专业招收调剂生
+1/41
-
大连工业大学纺织与材料工程学院超临界流体技术课题组 研究生调剂
+2/40
-
2026年河北大学无机化学专业招收调剂生
+1/40
-
河南工业大学化学化工学院 2026 年硕士调剂正在进行！
+1/35
-
哈尔滨工业大学化工学院中俄联合办学硕士生招生
+1/25
-
材料/化学/环境 5-10人专硕, A类线，武汉纺织大学材料学院，能源高分子方向
+1/16
-
香港科技大学 机器人/生物医学
+1/11
-
中国农业大学资源与环境学院 - 招聘杰出人才（教授-专技四级）、青年研究员、优秀人才
+1/8
-
【#上海调剂急录#】能接受985联合培养的速来！带你发一区文章！
+1/7
-
武汉纺织大学-国家工程实验室王金凤教授课题组招收研究生，线上面试无笔试
+1/6
-
招生材料与化工、环境科学调剂研究生
+1/5
-
大连理工大学计算机科学与技术学院/人工智能方向2026年研招调剂公告
+1/5
-
辽宁地区高校招生
+1/5
-
辽宁科技大学招收调剂，学院有较多名额
+1/5
-
北京双一流高校--环境科学与工程专业招收调剂
+1/3
chenhuanlong
禁虫 (文学泰斗)
★
mellowmeadow(金币+1): 谢谢参与
mellowmeadow(金币+1): 谢谢参与
|
本帖内容被屏蔽 |
6楼2022-01-04 08:09:32
chenhuanlong
禁虫 (文学泰斗)
|
本帖内容被屏蔽 |
11楼2022-01-09 13:47:01
简单回复
tzynew2楼
2022-01-03 10:21
回复
mellowmeadow(金币+1): 谢谢参与
i 发自小木虫Android客户端
nono20093楼
2022-01-03 10:57
回复
mellowmeadow(金币+1): 谢谢参与
。 发自小木虫Android客户端
2022-01-03 12:52
回复
mellowmeadow(金币+1): 谢谢参与
nono20095楼
2022-01-03 23:40
回复
2022-01-04 21:30
回复
mellowmeadow(金币+1): 谢谢参与
bjdxyxy8楼
2022-01-04 23:41
回复
mellowmeadow(金币+1): 谢谢参与
。 发自小木虫Android客户端
psylhh9楼
2022-01-07 22:40
回复
mellowmeadow(金币+1): 谢谢参与
shenrenren10楼
2022-01-09 08:23
回复
mellowmeadow(金币+1): 谢谢参与
