QDI Senior Data Scientist - Biomedical Knowledge G...

Job description


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, international and 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

About QIAGEN Digital Insights: QIAGEN Digital Insights is a global leader in providing bioinformatics solutions that empower researchers and scientists in the life sciences industry. Our innovative software tools enable the analysis and interpretation of complex biological data, driving breakthroughs in genomics, molecular diagnostics, and personalized medicine. We are passionate about our people, our users, our products, our technology, and our vision.

About the Opportunity: We are seeking a dynamic and self-motivated Senior Data Scientist to join our team. The ideal candidate will play a key role in developing Knowledge Graph based applications and will play a key part in incorporating cutting-edge Large Language Models (LLMs) into our systems. The successful candidate will not only possess a deep understanding of the biomedical domain but also demonstrate a keen interest in exploring and swiftly adapting emerging technologies.

Key Responsibilities

  • Design, implementation and maintenance of biological knowledge graphs, databases and related applications.
  • Design and implementation of conversational LLM-based application interfaces for biological graphs and databases.
  • Integration of knowledge graph machine learning and biostatistics algorithms into applications.
  • Design, implementation, and optimization of systems that incorporate LLMs to enhance local knowledge accessibility, including contributing to implementation hands-on.
  • Research emerging trends and scientific methods in systems biology and related fields.

Position Requirements

  • PhD-level in Bioinformatics, Computer and Data science or related fields with required biological or biomedical exposure or Master’s degree with additional industry experience.
  • Comprehensive understanding of design principles for biological knowledge graph ie. how to design database for bioinformaticians.
  • Proficiency in languages such as Python, R, Java for data manipulation, analysis, and application development.
  • Experience designing and implementing systems that leverage LLMs, building LLM applications with vector databases and agent architecture in frameworks like LangChain.
  • Understanding of computational biology and bioinformatics concepts, such as gene expression analysis, pathway and machine learning algorithms.
  • Understanding of molecular biology, transcriptomics, genomics and other biological disciplines to effectively develop software solutions for biological data analysis.
  • Fluent English with excellent communication skills and an enthusiasm to work in a collaborative, international team environment with an openness to experimentation as well as a passion for exploring new technologies and methodologies.

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. 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, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

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April 17, 2024