Job Description
DUTIES:
Contribute to solutions driving automated analysis of human genetic variation obtained by high-throughput sequencing.
Develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads.
Optimize and validate application software.
Contribute to inventing, speeding up, developing, evaluating, recommending, adapting, improving, optimizing, validating, integrating, documenting and supporting analytical solutions.
Contribute to development and validation of state of the art targeted sequencing assays for Oncology used in clinical and research settings worldwide.
Work closely with molecular biologists, product managers, program managers and software engineers to build high quality products.
Develop production-level software for relevant applications.
Develop prototypes quickly, integrate these methods into production software, and collaborate with key internal and external groups.
Keep up to date with the latest developments in algorithms for analysis of next-generation sequencing and applications of sequencing, especially for personalized medicine and human health.
Give internal and external presentations, and keep abreast of the latest developments in genomics.
REQUIREMENTS: Ph.D. in Biological Sciences, Bioinformatics, or related field of study plus 1 year of experience as a Bioinformatics Scientist or experience in any positions in which the required skills can be gained, or a related occupation. Master's degree in Biological Sciences, Bioinformatics, or related field of study plus 4 years of experience as a Bioinformatics Scientist or experience in any positions in which the required skills can be gained, or a related occupation. Required knowledge or experience with:
Genetics Next-Generation DNA sequencing Algorithms Genomic applications, such as Microbiome analysis, Immune Repertoire, Pharmacogenomics, mapping, or variant calling;
Developing algorithms for DNA sequencing interpretation;
Developing production software;
Preparation of scientific patent applications;
DNA sequencing technologies, such as Illumina or Ion Torrent;
Experience building statistical models in complex biological and genomic systems;
Programming experience on a UNIX platform in relevant languages, such as Python or Java; and
Experience with Matlab or R.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
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