RESPONSIBILITIES

Perform analysis of next generation sequencing data and develop new analytical solutions in collaboration with faculty. Apply computer programs and statistical methods to challenging problems in cancer research. Prepare written reports and manuscripts and present results to a multidisciplinary audience.

REQUIREMENTS

Demonstrated expertise in advanced statistics and knowledge of sequencing data analysis software tools. Experience with analysis of gene expression and comparative genomic hybridization results. Creativity and willingness to learn and develop new methodology. Good communication skills are essential.

Required Education: M.S. or preferred Ph.D degree in quantitative sciences. Minimum 4 years, preferred 6 years, of relevant experience with demonstrated competence and peer reviewed publications.

HOW TO APPLY

Please send applications to Dr. Lajos Pusztai (Lajos.pusztai[at]yale.edu), Chief of Breast Medical Oncology, Yale Cancer Center, c/o Vickie Johnson, Yale School of Medicine 333 Cedar St., PO Box 208032, New Haven, CT 06520-8028.

POLICY

Yale University is an Equal Opportunity/Affirmative Action Employer.