At the heart of QIAGEN’s business is a vision to make improvements in life possible.
We are on an exciting mission to make a real difference in science and healthcare. Our most valuable asset are our employees – more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us.
If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be.
Join us. At QIAGEN, you make a difference every day.
Position Description
Position Description
QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.
As a Bioinformatics Engineer, you will be part of a collaborative, cross-functional team of scientists, bioinformaticians, knowledge engineers, and software engineers building powerful tools to gain biological insight into RNA-Seq and DNA-Seq data. You will use your background in biological science and programming skills to assure the scientific quality of biological interpretations, supporting analytics, and information in our applications. This is an excellent opportunity to be directly involved in developing our technology, delivering a high-quality product, and making an impact on human healthcare.
Responsibilities:
- Develop and improve pipelines for content acquisition including targeted manual curation and automated processing of structured and unstructured biological data.
- Work collaboratively with the other team members to make decisions on content modeling and integration for all QIAGEN products and services.
- Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance of our biological content.
- Review and refine data and software requirements, use cases, and workflows for product features to ensure that they are scientifically valid, technically robust, and testable.
Position Requirements
Required:
- Domain knowledge evidenced by a graduate degree and applied experience in genetics, molecular biology, bioinformatics, or related field.
- Proven ability to solve problems using programming skills, especially in Python, Perl, or Java. 5+ years of experience or formal or advanced training preferred.
- Experience with database design and programming (e.g. PostgreSQL, Oracle, Neo4j).
Preferred (one or more of the following):
- Experience in developing bioinformatics data pipelines including testing and deployment to production systems.
- Experience in working with formalized Quality Assurance (QA) processes within a Quality Management System (QMS).
- Strong understanding of medical genetics, pharmacogenetics, molecular pathology, or oncology.
- Knowledge of information extraction (IE), data integration, ontology, semantic technology, machine learning (ML), or natural language processing (NLP).
- Knowledge of software development best practices, quality controls, testing techniques.
Personal Requirements
- Excellent critical and analytical thinking skills.
- Strong attention to detail.
- Excellent verbal and written communication skills.
What we offer
At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping, gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.
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