Sr. Staff Scientist Bioinformatics

Job Description:

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with revenues of $17 billion and 50,000 employees in 50 countries. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics and increase laboratory productivity. Our four premier brands - Life Technologies, Thermo Scientific, Fisher Scientific and Unity Lab Services - offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive support.

Objective:
We have an opening for a highly skilled individual with experience building models, algorithms, and software for analysis of next-generation DNA sequencing. The successful candidate will be part of a multi-disciplinary team developing applications for Ion Torrent DNA sequencing instruments. As part of this team, they will be expected to work in a fast paced, complex setting to hard deliverables in a collaborative environment. Critical thinking, determination to succeed, the willingness and courage to push the boundaries on the possible and the drive to deliver are key attributes. Expertise developing algorithms and software to analyze DNA sequencing data in one or more of the following applications: assembly, low frequency variant detection, fusion detection, RNA-seq, functional annotation, human genetic disease detection, tumor-normal somatic detection, viral quasispecies identification, metagenomics, bacterial resistance, etc. is highly desirable.

Major Responsibilities:
•To contribute to the easy, automated analysis of human genetic variation obtained by high-throughput sequencing to develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads, and to optimize and validate algorithms.
•Work on a variety of applications over time, inventing, speeding up, developing, evaluating, recommending, adapting, improving, optimizing, validating, integrating, documenting and supporting these analysis solutions.
•Responsible for developing production-level software for these applications.
The candidate will 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.
•Giving internal and external presentations, keeping abreast of the latest developments in genomics and genome medicine, and maintaining external contacts.

Skills/Knowledge Requirements:
•Experience with multiple complete software development product life cycles from concept to development and product testing and final release.
•Proven track record on successfully developed bioinformatics related commercial software products.
•Experience developing multi-threaded, distributed applications.
•Experience with cloud computing, parallel computing and big data.
•A good understanding of genomics, molecular biology, and common biological techniques like PCR and next-gen sequencing.
•Hands-on experience with sequence analysis tools (e.g. Blast, bowtie, etc.) and excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser).
•Excellent communication and organization skills.
•Experience with next-gen sequencing data analysis and date mining is a strong plus.

Minimum Qualifications (must have)
•Knowledge of bioinformatics and specific knowledge of next generation sequencing NGS is required.
•PhD in computer science, computational biology, biostatistics, bioinformatics, or similar (MS acceptable for the candidate with the right experience). 3 or more years experience building model in complex arenas, with at least 2 years of relevant experience.
•Demonstration of rapid prototyping experience, leading to development of production code that is robust, fast, and highly accurate. Ability to engage in clear written and oral communication.
•Strong programming experience in Java and/or C/C++ on a UNIX platform.

Preferred Qualifications (nice to have)
•A background in DNA sequencing technologies, bioinformatics, genetics, biology, and/or clinical testing. Strong statistical background, previous industry experience, familiarity with common bioinformatics tools, experience with high performance computing, understanding of assay design, experience working in cancer biology or human genetics or metagenomics.
•Hands-on experience with sequence analysis tools (e.g. Blast, bowtie, etc.) and excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser).

*LI-AJ1

EOE


Requeriments :

Skills :


Additional Info:

[Click Here to Access the Original Job Post]


Back to Jobs Page

Comments are closed.