A postdoctoral position in the laboratory of Dr. Gavin Ha and the Computational Biology Program is available immediately. We are seeking a highly motivated individual who is interested in studying cancer and understanding the genetic and epigenetic basis driving cancer progression. Candidates who are excited about large/complex ‘omics’ data analysis and methods development for cancer research are encouraged to apply. The position has a duration of at least one year with a competitive salary and great benefits.

The Ha lab is establishing a research program that uses new DNA sequencing technologies to study cancer genomes. The lab is also focused on research involving liquid biopsies, such as cell-free DNA, and developing new computational approaches to leverage these data for genome discovery and cancer burden monitoring. The research interests/projects in the Ha lab include:

• Analysis of cancer genomes to understand tumor progression/evolution, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures
• Development of novel computational algorithms for long-range (linked-reads or long-reads) whole genome sequencing of tumors
• Analysis of linked-read whole genome sequencing data to uncover novel alterations driving metastatic prostate cancer
• Analysis of cell-free DNA in plasma samples from patients under treatment
• Development and analysis of sensitive approaches to detect tumor-derived DNA in cell-free DNA from patient blood plasma
• The lab will work with collaborators to validate results using functional experiments
• For examples of recent studies, see PMID:29909985, PMID:29109393, PMID:25060187
• (please use the apply button below)

Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply

• Cancer genomics, liquid biopsies, tumor evolution/heterogeneity
• Application of statistical modeling, algorithm design, artificial intelligence to study cancer and genetics
• Analysis of large, complex genome, epigenome, or transcriptome data

Qualifications:
Applicants must have a PhD in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, computer/electrical engineering, physics, or other related fields

Applicants should have some of the following skills and experience:

• Work well in team environments; strong communication/organization skills; detail-oriented
• Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
• Experience with high performance computing environments and cloud computing environments is a plus
• Experience with analyzing sequencing data is considered a strong asset
• Applicants must have a demonstrated publication track record.
• A background in cancer biology (esp in prostate or breast cancer) is considered a strong asset.

To apply, please submit your application with the following:

• a several paragraph statement of research interests
• CV
• names and email addresses of three references
• two representative publications or preprints (if available)