This position can be filled at either the Scientist II or Senior Scientist level depending on experience.
We are looking for an exceptional bioinformatics scientist with expertise in translational research to apply state of the art genomics/genetics analytical approaches to help with understanding of disease heterogeneity, disease mechanism of action and identify novel genetic variants, biological pathways, and predictive biomarkers for selected MedImmune assets with the ultimate goal of developing targeted therapies. The candidate will mainly focus his/her effort on interpretation of the rich translational science and clinical trial data generated to support immune-oncology programs, and work with our external collaborators on understanding the role of multiple cancer indications.
Master's in biological sciences, computational biology, bioinformatics, or relevant field and 8 years of relevant experience post degree
PhD in biological sciences, computational biology, bioinformatics, or relevant field and 5 years of relevant experience post degree.
Master's in biological sciences, computational biology, bioinformatics, or relevant field and a minimum of 10 years of relevant experience post degree
PhD in biological sciences, computational biology, bioinformatics, or relevant field and 8 years of relevant experience post degree
The candidate must have strong biological knowledge with skills in genomics analyses and interpretation of data. The candidate will be responsible for developing analytical approaches, conducting correlative clinical studies, and interpreting complex biological results for data generated from RT-qPCR, microarray and whole transcriptome sequencing projects. The candidate will also analyze and interpret clinical trial data generated from flow cytometry and proteomics technologies to support various programs in the indications of inflammation and autoimmunity.
Must have strong biological and computational background. Additional experience in database management, analytical pipeline creation, and implementing biomarkers in clinical trials is highly desired. The candidate should be capable of working on multiple simultaneous projects.
Experience analyzing biomarkers and developing scientific hypotheses based on disease pathogenesis and drug MOA in the areas of respiratory and/or oncology is a plus. Minimum 5 years proficiency with R/Splus analysis/programming and at least one additional language required. Expertise in analysis of: next-generation sequencing data, microarrays, aCGH, and RT-qPCR data.
Ability to interact in a cross-functional environment and strong oral and written skills are required. Must have strong publication record with proven ability to lead writing of manuscripts.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation Req ID 9637 Position Category Research - Translational Science