A research associate (postdoc) position is available in quantitative genetics and genomics at Michigan State University in the laboratory of Dr. Wen Huang. Our laboratory is broadly interested in the genetics of complex quantitative traits using Drosophila and livestock animals as models. Laboratory approaches include classical genetics, molecular biology, genomics, statistics, and bioinformatics.
This position invites applications from candidates with background in experimental and/or quantitative biology. Candidates with a recent Ph.D. and experience in Drosophila genetics, molecular biology, bioinformatics are strongly encouraged to apply. Potential projects include mapping developmental and environmental regulatory variation at single cell and single base resolution, development of massively parallel assays to assess effects of regulatory variation, experimental evolution under different diets, development and application of statistical methods for explaining and predicting quantitative trait variation. Postdocs are also encouraged to propose projects that fit their own interest and align with directions of the lab. This position is initially for one year, renewable annually based on performance and the availability of funding.
Specific Position Duties
Design and perform experiments using appropriate advanced biomedical research techniques
Analyze and interpret research data, write research papers, and present research results at meetings
Assist the principal investigator and receive professional training in proposal writing and laboratory management
PhD in relevant scientific area including Genetics, Molecular Biology, Bioinformatics
Experience in molecular biology, genetics.
Excellent communication and organizational skills
Ability to work independently but also a team player
A strong work ethic and a commitment to becoming an independent scientist
Excellent skills in scientific writing
Candidates with a recent Ph.D. and experience in Drosophila genetics, molecular biology, bioinformatics.
Experience in next generation sequencing library preparation.
Required Application Materials
Application materials should include:
Cover letter which includes brief description (not more than 500 words) describing your current research;
Most recent CV;
Names, positions, and contact information of three references who may be contacted should the department request including one from your most recent research advisor.
For more information about this position, please contact Dr. Wen Huang at firstname.lastname@example.org.
Review of applications will begin on July 31, 2018 and continue until the postilion is filled.
Review of Applications Begins On
Summary of Health Risks
Work with animals.
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Internal Number: 517759
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