Job Area: Bioinformatics
GE’s goal is to become the world’s first digital industrial company. One fundamental element of that goal is to create a “digital twin” of our hardware and processes. This approach allows us to leverage the large amount of data collected from our instruments to create the best outcome for our customers. Essential Responsibilities: The cell culture data scientist described here will lead a team that will design and implement a workflow for data analysis that will include relational databases and instrument interfaces... [More]
Are you interested in an exciting field of Bioinformatics? If so, we are looking for a Bioinformatics Scientist who is strong in the computational biology and the development of software and relational databases to integrate all available information on sequences, variations, and expression, and statistical result to the systematic hunt for genes that cause T2D. [More]
DxTerity Diagnostics is in need of a Computational Biologist who has the ambition and knowledge to create breakthroughs in this exciting market. The candidate will be responsible for analyzing genomic data sets and working with a team of scientists to develop new diagnostic tests. The candidate should be well versed in analyzing RNA-sequencing and microarray datasets. [More]
The Senior Team Leader will closely interact with other scientists. In addition, tasks will include active networking with internal and external research groups, strategic planning, and supporting a functional vision focused on continuously improving bioinformatics expertise, algorithms, and methods. The individual is expected to play an active role in the GB computational bioscience platform to develop and use competences synergistically and most efficiently. [More]
EMBL is seeking a highly motivated bioinformatics engineer to work in the group of Prof. Matthias Hentze. Research in the Hentze group primary focuses on novel RNA-binding proteins and the identification of their role¬ in health and disease. The group uses new next-generation sequencing and mass-spectrometry-based technologies to identify and functionally characterize RNA-binding proteins and their targets. [More]
We are seeking a talented and highly motivated Sr. Bioinformatics Scientist orBioinformatics Scientist that will be part of a dynamic team working on data analysis and software quality control for NGS based genotyping application in clinical settings. Sirona Genomics (an Immucor company) is an exciting biotech company leading in HLA genotyping... [More]
Want to work at the forefront of artificial intelligence and agriculture? Cargill has a significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. This position will be part of the Engineering R&D team and will bring strong technical skills to our data science capabilities. [More]
Columbia University JP Sulzberger Genome is seeking a highly motivated Bioinformatics Analyst with strong expertise in bioinformatics and high-throughput sequencing. The Genome Center is equipped with state-of-the-art high-throughput sequencing instruments. It has extensive collaborations with scientists and physicians at Columbia University in cutting-edge studies on biology, human diseases, and precision medicine. [More]
Leidos's Military & Veterans Health Solutions Group is seeking a talented Data Scientist/Bioinformatics Programmer to support the Defense Health Agency (DHA) Decision Support Directorate (Data Support & Analysis) in Aurora, CO. JOB DESCRIPTION/PRIMARY RESPONSIBILITIES:Using healthcare and statistical data skills, the successful candidate will aggregate, evaluate, and improve the consistency and accuracy of very large data sets,,, [More]
We are currently looking for an enthusiastic and highly motivated scientist to join our fledgling bioinformatics group. A successful candidate is expected to play a key role in building the bioinformatics infrastructure and capabilities at NGM. They will enable the implementation of new technologies and support the analysis of complex data for the purposes of target and biomarker discovery. [More]