We seek researchers with strong statistical/computational skills and a demonstrated interest in genetics to join our lab. Review of applications will begin immediately and continue until the position is filled.
We seek a postdoctoral fellow to work on novel statistical methods for non-coding genome annotation and its applications in GWAS and/or WGS-based association analysis.
Applicants will be enrolled in genetics studies on complex diseases and are encouraged to work independently on new projects.
Postdoctoral applicants are expected to have a PhD in a quantitative field (including but not limited to statistics, biostatistics, and computational biology) and a strong interest in human genetics.
Programming skills are highly valued.
To apply, please send the following items to firstname.lastname@example.org.
2. Short research statement
3. Writing sample (e.g. one published article or preprint)
4. Contact information for three references
We can only review applications from students already enrolled in a UW-Madison graduate program. Applicants are expected have strong statistical/computational skills
and a demonstrated interest in human genetics. Experience in genetic analysis is not required.
To apply, please send your CV to email@example.com.
Please contact Qiongshi to discuss. Undergraduate applicants should have taken rigorous courses in statistics and/or computer science. A strong interest in biological problems is also required.