Post Doc Fellow, Division of Hematology & Oncology, College of Medicine

Job Title:

Post Doc Fellow, Division of Hematology & Oncology, College of Medicine

Work Arrangement:
Onsite

The Department of Internal Medicine, Division of Hematology Oncology is recruiting for a Postdoctoral fellow to work in Dr. Sarah Skuli’s Lab, a basic/translational laboratory that focuses on developing new therapeutic strategies for patients with myeloid malignancies, particularly TP53 mutant AML/MDS.

• Follow established research protocols to perform experiments in the lab.
• Design laboratory experiments in coordination with the PI, troubleshoot and adjust protocols as appropriate.
• Maintain accurate and detailed records of all laboratory work and experiments.
• Interpret data and judge data validity.
• Perform statistical and graphical analysis of data.
• Operate standard laboratory equipment, troubleshoot and correct erroneous results/problems.
• Maintain protocol accuracy by conducting regular quality checks and provide safety monitoring checks as assigned.
• Assist in training other post-doctoral fellows, graduate students and junior laboratory personnel.
• Assist in daily operations of the laboratory including organization and cleanliness.
• Maintain active role in laboratory meetings, presentations, publications and contribute material for publications, abstracts and reports.
• Be willing to perform mouse-based in vivo experiments.

Doctoral Degree in the appropriate field or discipline, or the recognized terminal degree.

Experience with routine wet-lab techniques including mammalian cell culture, molecular biology assays (DNA/RNA/protein extraction/quantification, PCR, qPCR, western blotting, cloning/bacterial transformation), flow cytometry/cell sorting, colorimetric/fluorometric assays, Seahorse, and basic data analysis (Excel/Graph Pad).

Experience analyzing bulk and single-cell RNA sequencing data, familiarity with multi-omics datasets (metabolomics/lipidomics/proteomics), and use of bioinformatics or statistical tools (R, Python, Seurat, DESeq2) to integrate and interpret complex datasets.

Competitive salary based on experience, tuition remission for you and eligible dependents, robust retirement plans, generous time-off policy including vacation and sick time, 11 paid holidays, additional end-of-year paid time off, 6 weeks paid parental leave, flexible spending accounts & wellness programs.

Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.

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