Available positions

We are currently seeking highly motivated and skilled individuals for both postdoctoral and Ph.D. studentship positions in bioinformatics and computational biology.

Postdoctoral position I

Job description. Applications are invited for a postdoctoral position up to three years in bioinformatics and computational biology. The research focus will be in the cutting-edge research area of cancer genomics, involving analyzing high-throughput genomic (both sequencing and microarray) data to identify differential gene expression, protein-DNA interaction, and epigenetic changes that occur during the breast cancer metastasis. Under the general supervision of the Principal Investigator, the selected candidate will be expected to:

• Develop novel computational methods for analyzing high-throughput genomic data,
• Process and integrate experimental results using custom bioinformatics tools,
• Publish scientific papers in peer-reviewed journals and present findings at seminars and conferences,
• Work cooperatively with other lab members and outside collaborators.

Requirement. The ideal candidate will be enthusiastic, highly motivated, and with the following qualifications:

• Ph.D. in bioinformatics, computer science, statistics, applied mathematics, or a related scientific/technical discipline,
• Skills in manipulating and analyzing large datasets and proficiency in programming (e.g., Java/Perl/R),
• Research experience (with first-author publications) in computational genomics.

Salary and benefits. This position is remunerated according to NIH guidelines and provided with a generous package of University benefits.

How to apply. Applicants should submit a cover letter and the curriculum vitae (preferably in a single PDF file) and also arrange three reference letters. All application materials should be sent by email to the lab P.I. at zhengdong.zhang at einstein.yu.edu.

Postdoctoral position II

Job description. Applications are invited for a postdoctoral position up to three years in bioinformatics and computational biology. The research focus will be in the cutting-edge research area of translational genomics, involving analyzing high-throughput genomic (both sequencing and genotyping) data to identify DNA sequence variation and genotype-phenotype correlation on the nucleotide, gene, and pathway levels that occur among a cohort of patients with a genomic disorder. Under the general supervision of the Principal Investigator, the selected candidate will be expected to:

• Develop novel computational methods for analyzing high-throughput genomic data,
• Process and integrate experimental results using custom bioinformatics tools,
• Publish scientific papers in peer-reviewed journals and present findings at seminars and conferences,
• Work cooperatively with other lab members and outside collaborators.

Requirement. The ideal candidate will be enthusiastic, highly motivated, and with the following qualifications:

• Ph.D. in bioinformatics, computer science, statistics, applied mathematics, or a related scientific/technical discipline,
• Skills in manipulating and analyzing large datasets and proficiency in programming (e.g., Java/Perl/R),
• Research experience (with first-author publications) in computational genomics.

Salary and benefits. This position is remunerated according to NIH guidelines and provided with a generous package of University benefits.

How to apply. Applicants should submit a cover letter and the curriculum vitae (preferably in a single PDF file) and also arrange three reference letters. All application materials should be sent by email to the lab P.I. at zhengdong.zhang at einstein.yu.edu.