Scientific Quality Engineer Ingenuity Systems
THIS JOB HAS EXPIRED Description
Ingenuity is a group of creative, energetic people helping life science researchers understand the biological mechanisms that cause human disease. Ingenuity?s industry-leading technology platform was built by our team of interdisciplinary, entrepreneurial researchers, scientists and engineers that are passionate about improving human health through the intelligent use of semantic technologies. We have used this technology to develop the industry-leading analytic platform for pathway analysis and systems biology research, and are now expanding to develop new solutions for the life sciences and healthcare markets. We are passionate about our users, our products, our technology, and our vision, and are looking for intelligent, talented and entrepreneurial developers who are eager to join our world-class team. Ingenuity is a professional work environment, valuing work life balance.
As a member of the Content Quality Engineering team, you will use your scientific knowledge, software skills and creativity to assess, ensure, and improve the quality of our rich and diverse biological content and derivative products. Our content is the driving force behind our sophisticated existing and emerging solutions, from our flagship product Ingenuity Pathways Analysis to our newly introduced Ingenuity Variant Analysis. Our solutions use cutting-edge computational techniques to gain insight into biological systems. In particular, you will be responsible for assuring the quality of our variant content workflow including the related development processes, tools, knowledge models, delivery and maintenance in a software development setting. You will work closely with a talented and dedicated team of computational linguists, bioinformaticians, scientists, developers, and product managers to enable our customers to gain extraordinary scientific insights through delightful and enlightening investigative experiences using our products.
DUTIES AND RESPONSIBILITIES
Assure the quality of our variant content workflow that is an important source for our variant-based products.
Ensure methods and algorithms used in the variant content workflow are scientifically valid and technically robust.
Work with developers to improve the sensitivity and specificity of content retrieval for a wide variety of topics.
Develop highly visible methods for measuring and communicating the quality of high-impact projects.
Advocate and provide expert guidance for software development best practices.
Work with developers to rapidly integrate new features or enhancements with sufficient testing coverage.
Be a passionate voice of our scientific product customers internally. Evaluate, prioritize and escalate issues as necessary.
Work with developers and build engineers to incrementally improve and streamline build processes.
KNOWLEDGE, SKILLS AND ABILITIES
Excellent critical and analytical thinking, problem solving, and troubleshooting skills.
Excellent verbal and written communication skills.
Strong proven ability to self-start, plan, prioritize, and scope work in a fast-paced, dynamic environment.
Strong attention to detail, thoroughness, and organization.
Enthusiasm to explore scientific research literature, biological databases, algorithms, and software.
In-depth knowledge of software development best practices.
Enthusiasm to learn and practice new technologies as needed to get the job done.
Ability to work with diverse cross-functional group of scientists, software developers, product managers, and IT professionals.
Experience with PubMed, MeSH, and other NCBI databases.
In-depth knowledge of a variety of quality controls and software testing techniques.
In-depth knowledge of a variety of algorithms, computational and statistical techniques.
Knowledge of one or more of the following: ontology, semantic web, Artificial Intelligence, or expert systems.
Building and delivering software in Agile, scrum, or XP SDLC.
4+ year bioinformatics experience, especially in genomics
2+ years interpreting scientific literature and associated results.
Strong programming skills, including 4+ years writing Perl, 2+ years writing Java.
4+ years parsing and manipulating large data files.
4+ years using Unix and Windows and/or Macintosh operating systems.
2+ year experience in one or more of the following: Natural Language Processing, Information Retrieval, data mining.
2+ years software testing.
2+ year automating software using, for example, shell scripts, Ant, or Hudson.
2+ year automating software testing using, for example, Fitnesse.
2+ year experience with database design and querying.
Master?s degree in biology, bioinformatics, or computer science with in-depth courses in molecular biology and genetics.
PhD degree or higher in biology, bioinformatics, or computer science with in-depth courses in molecular biology and genetics.
||1700 Seaport Boulevard |
Redwood City, CA 94063
THIS JOB HAS EXPIRED