Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
QIQiagen logo

Qiagen

Redwood City, United States of America

Bioinformatics Engineer, QDI.

REMOTEDATA & ML$130K–150K/YR
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.  At QIAGEN, our vision is clear: Making improvements in life possible. This is reflected in our daily actions to help scientists, clinicians and professionals tackle some of the world’s greatest challenges – unlocking insights that advance science, improve healthcare and enhance lives. To achieve this, we stay focused on one mission: to offer Sample to Insight solutions. Our products and services turn complex biological samples into valuable answers. Whether it’s enabling a breakthrough discovery or improving patient outcomes, we help our customers move from data to insight, faster and with greater confidence. Please be cautious of unsolicited job offers and requests for personal or financial information. QIAGEN will never ask candidates to make a payment as part of the recruitment process. If you are unsure whether a communication or job opportunity is legitimate, please verify it through your personal contact or hiring partner. Applying for your dream job is exciting - below you can find more information on the recruitment process and other relevant topics to guide you in your path to QIAGEN. Find out more here. Privacy Policy and contacts
Pay
$130k–150k/yr
Where
Redwood City, United States of America
Work
Remote
Type
Not stated
Posted
13 Aug, 2026
Apply on the original postingSign in to apply

Unverified board

more at Qiagen.

19 Dec, 2025

Qiagen

Specialist

QIQiagen logo
  • Remote

Tokyo, Japan

Remote

Details
19 Dec, 2025

Qiagen

Operations Associate, Supply Chain Japan②

QIQiagen logo
  • Remote

Tokyo, Japan

Remote

Details
19 Dec, 2025

Qiagen

Operations Associate, Supply Chain Japan①

QIQiagen logo
  • Remote

Tokyo, Japan

Remote

Details

similar roles.

9 Oct, 2026

Rand Europe

Research Analyst/Senior Research Analyst - Frontier AI Policy

RERand Europe logo
  • Senior level
  • Data & ML

Cambridge +2

Salary not listed

Details
29 Sep, 2026

Rebellion

Analytics Engineer

RERebellion logo
  • Full time
  • Data & ML

Oxford +2

Full time

Details
16 Oct, 2026

TDS Global Solutions

Forward Deployed Engineering & Applied AI Professionals

TGTDS Global Solutions logo
  • Full time
  • Remote
  • Data & ML

United States

Remote

Details
30 Jan, 2026

Scalepex

Healthcare Data Analyst

SCScalepex logo
  • Full time
  • Remote
  • Data & ML

Dallas +2

Remote

Details
27 May, 2025

Scalepex

Data Scientist (Remote - Mexico Only)

SCScalepex logo
  • Full time
  • Remote
  • Data & ML

Mexico

Remote

Details
21 Jul, 2026

Rockstar

Senior Platform Engineer - Data Platform

RORockstar logo
  • Senior level
  • Remote
  • Data & ML

United States

Remote

Details