Genome Bioinformatics Analyst

UPMC • Pittsburgh, PA

6d

About The Position

The Genome Bioinformatics Analyst works independently to curate disease, gene and variant knowledge including variant interpretation, reporting and consultation with laboratory staff, physicians and genetic counselors. The analyst participates in clinical test development, validation and maintenance of data analysis pipelines, monitoring of quality metrics and the analysis of large datasets. This position is ideal for a post-doctoral candidate, who is interested in a career in clinical genomics and molecular diagnostics.

Requirements

• PhD in molecular biology, human genetics, bioinformatics, computational biology or related field. MS degree may be considered with 2 or more years of relevant experience.
• Strong experience with standard molecular genetics technologies and Next Generation Sequencing.
• Strong analytical and organizational skills.
• Excellent written and oral communication skills.
• Works effectively with an interdisciplinary team scientists, physicians, genetic counselors.
• Person must demonstrate a high degree of professionalism, enthusiasm and initiative on a daily basis.
• Ability to work in a fast-paced environment.
• Attention to detail is critical.

Nice To Haves

• Clinical diagnostic experience preferred.
• Statistical and bioinformatics skills are a plus.
• Familiarity with commonly used databases (HGMD, ExAC 1000 genomes), and bioinformatics tools (samtools, IGV, ANNOVAR, GATK) and file formats (BED, VCR, FASTQ, BAM) preferred.

Responsibilities

• Designs and executes clinical validation studies to assess diagnostic test performance.
• Curates disease, gene, and variant knowledge. Helps implement curated knowledge, resources, and workflows into clinical operations.
• Participates in developmental and clinical research projects, as needed.
• Maintains SOP documentation of NGS bioinformatics pipeline.
• In consultation with laboratory staff, physicians and genetic counselors, participates in the review of patient results and develops interpretations for clinical reports.
• Participates in clinical test development as needed. Evaluates novel platforms and techniques in DNA sequencing, genotyping, and copy-number variation in order to assess suitability for diagnostic application.
• Maintains data analysis pipelines, monitors quality metrics and analyzes data sets.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees