Job Title: Scientist III, Bioinformatics - Services Lab
Requisition ID: 175587
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing productivity in their laboratories, we are here to support them.
Division / Location
Genetic Sciences Division /Santa Clara, California
How you will make an impact
We are seeking a hardworking and motivated individual to provide bioinformatics support for scientific services. The candidate will be responsible for project management, data analysis, documentation, and delivery of scientific services & research projects for different applications, such as whole genome and/or targeted genotyping, copy number variation assays, and gene expression
What will you do?
Work with cross-functional groups within the company and with our scientific customers.
Work on applications of microarray and next generation sequencing platforms, including some or all of the following: detection of rare variants, detection of gene fusions, detection of deletions and other structural variants, quantitation of differential gene expression.
Use, extend, and where applicable, develop new pipelines for expression and genotyping data analysis
How will you get here?
MS or PhD in Bioinformatics, Biostatistics, Biomedical Engineering, Molecular Biology, or similar with at least 2 years of working experience in related fields
Education Equivalents will be considered.
Experience in human genotyping imputation, Genome Wide Association Studies, annotation databases, as well as the ability to handle very large bioinformatics datasets and develop automated workflows, is a strong plus.
Experience in microarray or NGS analysis considered a strong plus.
Excellent cross-discipline communication and writing skills.
Knowledge, Skills, Abilities
Project management skills strongly preferred
Proficient in Linux/Unix work environment
Knowledge of human genotyping, imputation, and Genome Wide Association Studies.
Proven expertise in a scripting language (Perl or Python). Proven expertise in statistical computing language R is helpful, Relational database experience (PostgreSQL, Oracle).
Apply on company website