We are seeking an exceptional postdoctoral scholar to join the team and contribute to groundbreaking research in computational oncology.
Required Qualifications:
- PhD in related fields such as computational biology, cancer biology, and bioengineering (with considerable computational experience). MDs with prior experience in computational oncology are encouraged to apply too.
- Strong record of publications in peer-reviewed journals
- Skilled in the use of R and/or Python
- Basic understanding of statistical modeling, and machine learning
- Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA-Seq, scRNA-Seq, ATAC-Seq, scATAC-Seq, etc.
- Strong oral and written skills, and capable of writing and publishing results.
- Contribute to lab meetings and one-on-one discussions.
Desirable Qualifications:
- Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat
- Prior experience in analyzing spatial transcriptomic data.
- Prior experience in developing models to analyze temporal data.
- Prior experience in utilizing Bayesian modeling in related applications.