Bioinformatics Intern | Bethesda, Maryland, United States | Henry M. Jackson Foundation for the Advancement of Military Medicine

Position:	Bioinformatics Intern
Institution:	Henry M. Jackson Foundation for the Advancement of Military Medicine
Location:	Bethesda, Maryland, United States
Duties:	Performs analysis of gene expression and proteomic data acquired from clinical tissues, biofluids and experimental models; Contributes to prognostic models and performs decision analysis; Collaborates with surgeons, bioinformaticians, biostatisticians, and laboratory personnel, and will develop a supervised project; Coordinates with mentor in model design and development based from biomarker and clinical data; Writes/contributes to abstracts, publications, and conference presentations; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements:	High School Diploma or GED required; Minimum of 0-2 years experience required; Strong computer skills and hands-on experience in analyzing biomarker based assay data, knowledge-based data analysis modeling software applications, working knowledge of scientific programming (PERL, Phyton, JavaScript, R, or Macro for MS-Excel etc)

Text:	Bioinformatics Intern Performs analysis of gene expression and proteomic data acquired from clinical tissues, biofluids and experimental models; Contributes to prognostic models and performs decision analysis; Collaborates with surgeons, bioinformaticians, biostatisticians, and laboratory personnel, and will develop a supervised project; Coordinates with mentor in model design and development based from biomarker and clinical data; Writes/contributes to abstracts, publications, and conference presentations; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role High School Diploma or GED required; Minimum of 0-2 years experience required; Strong computer skills and hands-on experience in analyzing biomarker based assay data, knowledge-based data analysis modeling software applications, working knowledge of scientific programming (PERL, Phyton, JavaScript, R, or Macro for MS-Excel etc)