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. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe.
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.
There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started.
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.

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 actually helps improve people's lives.

As a NLP Engineer, you will be part of a growing NLP team collaborating with cross-functional team of scientists, bioinformaticians, knowledge engineers, and software engineers building powerful tools to gain biological insight into gene expression, variant association, and molecular interaction data. This is a dynamic opportunity for you to develop cutting edge methods, explore new technologies, and help us overcome novel technical challenges. You will use your background in NLP and Machine Learning to assure and accelerate the scientific quality of content acquisition, biological interpretation, and information processing in our applications.

Responsibilities of the role:

- Improve existing pipelines for content acquisition.

- Develop, train, and validate machine learning models to target various use cases for biological literature

- Use a variety of NLP libraries and techniques for entity recognition and relationship extraction.

- Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content.

- Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering.

- Proficiency inJava or Python and a demonstrable ability to quickly learn.

- Solid understanding of the deep learning ecosystem.

- Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow.

- Experience with word embeddings and language models such as Word2Vec or BERT.

- Experience with NLP libraries for Java/Python such as CoreNLP or NLTK.

- Understanding of various terminology and ideas in NLP including important concepts such as Half-of-Speech (POS) Tagging, Statistical Language Modeling, Syntactic, Semantic, and Sentiment Evaluation, Normalization, Tokenization, Dependency Parsing, and Constituency Parsing.

- Knowledge of software development best practices, quality controls, testing techniques.

- Excellent critical and analytical thinking skills.

- Strong attention to detail.

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. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN.

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 (including but not limited to assumptions about a person's appearance or behavior, gender roles, gender expression, or gender identity), 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.

QIAGEN complies with applicable laws regarding the confidentiality of employee health information and the reasonable accommodation of individuals with disabilities and/or sincerely held religious beliefs. Candidates who require accommodation should contact . This policy is part of QIAGEN's ongoing efforts to support public health efforts and to ensure the safety and-well-being of its employees, customers, business partners, and community.

The estimated base salary range for this position is 160.000-180.000 USD. Compensation will be based on the candidate's experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes annual performance bonus and generous benefits.