美国密歇根大学生物医学信息学博士后职位

美国密歇根大学生物医学信息学博士后职位

Biomedical Informatics Postdoctoral Fellow

University of Michigan (U-M)

Dr. Lana Garmire’ translational bioinformatics group at University of Michigan has multiple biomedical informatics/translational bioinformatics postdoc fellow positions for highly competent and motivated researchers immediately.

Current projects include (1) Single-cell genomics and bioinformatics/statistical method, visualization and algorithm development, single-cell analysis in cancer data. (2) Developing new computational methods, as well as using existing methods to integrate high-throughput genomics data (methylation, RNA-Seq, proteomics and metabolomics data) and histopathology data for biomarkers applications in diseases such as cancers and pregnancy diseases, (3) Electronic Medical Records (EMR) based phenotypic prediction using deep-learning/machine learning methods. The postdocs are expected to publish multiple first-author high qualify papers during the training, give presentations in international conferences, help supervise graduate students and undergraduate students, as well as collaborating with other domain experts.

Qualifications

1.PhD program in bioinformatics, mathematics, engineering, (bio)statistics, physics or relevant major with rigorous training in quantitative science.

2. Strong publication records with multiple first-author publications in high-quality peer reviewed journals.

3. Must be in good academic standing (GPA 3.5 or above);

4. Deep experience in programming languages such as Python, R, C, C++, and Java;

5. Must be familiar with Unix OS;

6. Deep knowledge in statistics / computer science;

7. Deep experience in machine learning and data mining;

8. Good communication skills (both oral and written) in English;

9. Demonstrated ability to work as a team player with a collaborative spirit