A postdoctoral research position is available in the lab of Dr. Janet S. Rader in the Department of Obstetrics and Gynecology at the Medical College of Wisconsin. We are part of a highly interactive, interdisciplinary team of researchers with diverse backgrounds and expertise in a collaborative scientific environment. Visit our Lab website https://obgyn.mcw.edu/research/labs/rader-lab/
The candidate will participate in a newly funded NIH research program aimed at identification and characterization of clinically relevant genes/pathways derived from human papillomavirus (HPV) integration signatures in cervical cancer. For this work, our laboratory leverages existing and newly generated multi-omics datasets from large cohorts of cervical cancer specimens from women with well-annotated clinical-pathologic data. The methodologies used in the research project include high-throughput sequencing technologies (Illumina and Oxford Nanopore), bioinformatic analyses of large patient datasets, cell culture, CRISPR/Cas9 gene editing, and various molecular biology assays. In collaboration with our international research team, the candidate will develop computational approaches to integrate and analyze these large datasets to identify genome structure and regulatory arrangements underlying gene expression variation surrounding integration events. The candidate may also employ wet lab techniques to suit their career goals. The candidate will be expected to publish and share their discoveries with the research community.
• Fully funded postdoctoral position
• Opportunities for training and use of bioinformatic analyses of large patient datasets and state-of-the-art cellular and molecular techniques
• Unique access to large cohorts of patient samples and related datasets with opportunity to translate findings into clinical trials
• The Department of Obstetrics and Gynecology at the Medical College of Wisconsin integrates excellent patient care with cutting-edge clinical and basic research.
• Outstanding mentorship for tailoring position and project to meet candidate’s career goals
Ideal Candidate Qualifications
• The candidate shall have a strong background in bioinformatics, computational biology, systems biology, biomedical informatics, computer science, or a related field.
• Experience in bioinformatic analysis of large multi-omic datasets
• Strong data science skills are required ((proficiency in either R or Python is a must))Motivated to work in a team and passionate about cancer research
• PhD in genomics/computational biology/bioinformatics or related discipline
• Publication record
• Strong communication skills
Starting Date and Length
2022-2023; 2-3 years