Work Schedule

Standard Office Hours (40/wk)

Environmental Conditions

Office

Job Description

The Variant Scientist III will review, analyze, and compile complex clinical data from primary literature and clinical trials specific to biomarkers in cancer. In this role, you will provide scientific and technical expertise to a cross-functional team of scientists and software developers to build and maintain an internal knowledge base of genomic aberrations and relevant therapies related to cancer. If you are a motivated and innovative scientist seeking to advance your career in oncology and personalized medicine, we invite you to join our NGS R&D Bioinformatics team in Ann Arbor, MI.

What will you do?

Read, interpret, and curate evidence from approved therapies, clinical guidelines, clinical trials, and scientific literature using internal software tools.Actively participate in the interpretation, analysis, and summarization of various clinical sources for somatic and germline variant annotations and classification. Leveraging the primary literature, author summaries that describe the relationships between gene variants and disease prognosis, diagnosis, and therapy selection.Actively provide translational and clinical oncology expertise to the curation team in solid and/or hematological cancers.Develop and implement new curation strategies or improve existing protocols for variant classification, variant interpretation, and clinical reporting.Develop and maintain sustainable processes that ensure data accuracy and quality.Work in a fast pace, cross-functional team of bioinformatics scientists, variant scientists, and software engineers to define and refine clinical reports.

Experience:

Must have PhD, ideally in oncology, immunology, molecular biology, cancer biology or relevant field.Must have demonstrated experience in reviewing and summarizing scientific literature for somatic and germline variants.Must be able to interpret complex genomic data from various technologies including next-generation sequencing (NGS).Must have hands-on experience using biological databases, disease ontologies, disease classification systems, and cancer genomic databases.Industry or clinical laboratory experience working in genomic variant curation and clinical interpretation is highly preferred.Experience with NGS and bioinformatics analysis of cancer genomics data is preferred.Post-doctoral experience is preferred but not required.Experience with IVD/regulated product development or genetic counseling is a plus.

Knowledge, Skills, Abilities

Ability to work independently and collaboratively.Positive attitude with strong interpersonal skills.Self-starter with ability to hold self-accountable with minimal oversight.Ability to adjust priorities and workload based on guidance from Manager (if needed).Strong organizational skills and ability to multi-task are needed. Strong English language written, oral communication skills, and computer skills are needed.