The modern world is drowning in information - but starved for Knowledge. At Melissa Informatics (“MI”; Berkeley and Rancho Santa Margarita, CA; global offices) we are passionate about transforming Information into Knowledge - especially when in the service of advancing medicine - for example fighting illnesses like Parkinsons Disease. We're seeking a candidate who can keep an eye on day-to-day tasks of data wrangling for our existing projects, and an eye on revamping the process to make it better (i.e. "one eye on the road and one on the horizon".) A productive and practically minded visionary with an interest in knowledge representation and data harmonizing.
You'll be working closely with our existing data modeling / knowledge engineering and development team, and with our longtime Project Leader. Our current tools primarily involve our own software (RDF-enabled “Knowledge Explorer”), as well as with KNIME, SQL/MySQL and Triplestores/Graph databases.
You should have attained a BS, equivalent or higher education in a related field, ideally with at least some professional experience in technology areas below.
Desired Skills and Experience:
- Relational database experience is required
- Python or C# coding will be required; at least light-duty knowledge of either is a must.
- KNIME or a comparable workflow engine (PLP, Talend, Mule, …) is a plus
- Experience with RDF, SPARQL, Triplestores/Graph databases is a plus
- Excellent communication skills are an absolute must - and so is willingness to regard DOCUMENTING your work as normal a routine as brushing your teeth after dinner - rather than as a dreaded dental procedure to be put off as much as possible!
- No knowledge of Biology required, but an interest in the life sciences - or at least an eagerness to lend a hand in the fight against disease - is highly desirable.
The routine goal is to turn poorly-structured data (typically from research groups) into Clean Structured Data that resides as Semantic Knowledge in Triplestores (such as Virtuoso) and/or in Graph databases (such as Neo4j). Long-term goals for this position are to deliver on customer data quality and integration requirements, improve on current processes and more generally become an expert with latest technologies and methods for Data Harmonization and Knowledge Extraction, including machine reasoning and machine learning.
Our office culture is friendly, warm and informal. We love what we do, and are a small Berkeley team under the umbrella of a larger parent company. Pay is competitive and influenced by your experience and skills.
