QIAGEN Logo

QIAGEN

Bioinformatics Engineer, QDI

Posted One Month Ago
Be an Early Applicant
In-Office
Redwood City, CA, USA
130K-150K Annually
Mid level
In-Office
Redwood City, CA, USA
130K-150K Annually
Mid level
Develop and maintain bioinformatics tools and pipelines to ingest, transform, and interpret biomedical data. Maintain and extend a biomedical ontology and Knowledge Graph. Collaborate with product and application teams to integrate content sources, define requirements, and implement data quality and test plans within a Quality Management System.
The summary above was generated by AI

Overview  

 
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.  

We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams. 
 
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you. 

 

At QIAGEN, every day is an opportunity to make a real-life impact. 

 

Join us, grow with us, and together, let's shape the future of biological discovery. 

‎

About the opportunity

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, our 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.

Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics.

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN’s biomedical knowledge base by integrating new knowledge from public data sources and facilitating capture of unstructured data into existing and new semantic models, as well as leveraging our Knowledge Graph to deliver data, interpretations, and inferences to our applications and customers. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams.
Your tasks include

  • Develop and maintain bioinformatics software tools and pipelines to ingest, transform, interpret, and export structured and unstructured biomedical data.

  • Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics.

  • Collaborate with product management and application software developers to investigate new content sources related to product features and define requirements for content development projects.

  • Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base and interpretation of content in the applications via a Quality Management System (QMS).

Your profile

  • Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.

  • 3+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.

  • Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.

  • Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).

  • Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.

  • Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology.

The estimated base salary range for this position is $130,000 - $150,000. 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 a bonus plan and generous benefits.

What we offer  

 

  • Bonus/Commission  

  • Local benefits   

  • Referral Program  

  • Volunteer Day  

  • Internal Academy (QIALearn)   

  • Employee Assistance Program   

  • Hybrid work (conditional to your role) 

 

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.   

 

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.  

QIAGEN Redwood, California, USA Office

Redwood, United States

Similar Jobs

2 Minutes Ago
Hybrid
Santa Clara, CA, USA
220K-343K Annually
Expert/Leader
220K-343K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads post-acquisition integration across multiple complex deals, from strategy and planning through execution and value realization. Establishes governance, coordinates business and functional stakeholders, manages integration costs, tracks strategic and financial objectives through scorecards, and improves integration playbooks and processes. Requires strong executive communication, influence without direct authority, strategic judgment, and extensive M&A integration leadership experience.
2 Minutes Ago
Hybrid
Santa Clara, CA, USA
140K-159K Annually
Junior
140K-159K Annually
Junior
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build, deploy, and operate production-grade multimodal machine learning services for document extraction, visual understanding, and agentic automation. Design APIs and pipelines, integrate LLMs, deploy scalable services on Kubernetes, and implement testing, observability, CI/CD, and alerting. Own service quality, reliability, performance, and customer-facing issue resolution while collaborating with product, engineering, design, and consuming teams.
Top Skills: Ci/CdComputer VisionDockerJavaJavaScriptKubernetesLlmsVision-Language Models
3 Minutes Ago
Hybrid
Santa Clara, CA, USA
174K-272K Annually
Senior level
174K-272K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Manage post-acquisition integration initiatives from strategy and planning through execution and value realization. Coordinate business and functional stakeholders, establish integration management offices, track costs and KPIs, manage issue resolution, and provide executive updates across multiple acquisitions. Contribute to integration playbooks, tools, lessons learned, and continuous process improvement while ensuring successful day-one readiness and achievement of deal value drivers.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account