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Open nowPosted yesterday

Field Application Scientist, Data Science, QDI

qiagen15 open roles

Where
Boston
Work mode
Remote
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Your applicationOpen nowField Application Scientist, Data Science, QDIqiagen · Boston

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. qiagen postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted yesterday

qiagen median: 6 days open

The posting

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

This position is an exciting role working with a range of scientists and determining how to address their data science applications needs using QIAGEN Digital Insights well established and superior products and services including Discovery KB (previously known as Biomedical KB), OmicSoft Lands APIs, Knowledge Graphs, MCP Server, AI Agents and more (https://digitalinsights.qiagen.com/data-science/?cmpid=QDI_GA_IPA).

This is a fantastic position for candidates that enjoy working with people and problem solving. You will be intellectually challenged and benefit from being exposed to a wide range of experimental approaches to scientific problems in commercial and academic contexts.

The Field Application Scientist is responsible for presenting to individuals and groups of various size, customer objective focused database, APIs and software demonstrations, custom trainings, and other activities that show the application and value of QIAGEN Digital Insights data science products and services. The scientist will work internally with sales, services, marketing, customer support, and R&D teams as a customer advocate.

Your tasks include

  • Leverage QIAGEN’s data science solutions (Discovery KB, Knowledge Graphs, OmicSoft Lands APIs) together with AI agents and MCP servers to accelerate discovery and automate analysis workflows
  • Engage in scientific discussions with customers and cultivate relationships.
  • Leverage deep scientific knowledge to identify customer challenges and map them to QIAGEN’s biological data analysis and interpretation products and services.
  • Deliver scientific workshops on defined case studies to showcase the value and effectiveness of software applications within the context of the prospect or customer’s research.
  • Provide scientific presentations and compelling pre-sales product demonstration for potential customers within the context of the customer’s research field and application.
  • Analyze customer data for presentations or analyze public data for case studies.
  • Train and support new customers including delivering product-training seminars.
  • Work closely with customers to understand their product requirements and communicate these requirements to the marketing and engineering teams for inclusion in future product development activities.
  • Collaborate with Sales to develop and nurture key account technical relationships, support Marketing activities at targeted events.

Your profile

  • Masters, PhD or equivalent experience in data science, bioinformatics, biology, molecular biology or genetics-related field desired but not required.
  • Experience with Discovery KB (previously known as Biomedical KB), Knowledge Graphs, MCP Server, AI Agents, SQL, Python, OmicSoft and/or Ingenuity Pathway Analysis desired but not required.
  • Demonstrated excellent written, presentation, and verbal communications skills including demonstrated public speaking experience
  • Aptitude for understanding and communicating complex computational concepts, applications and algorithms to non-computer savvy biologists
  • This is a field-based role where you will work from your personal home office with local and regional travel.
  • Willing to travel between 30-60% of the time. Proactive self-starter with the ability to handle and manage multiple tasks in a result-oriented, commercial environment and meet strict deadlines
  • Ability to multitask a variety of assignments and proven ability to meet strict deadlines.
  • Home-office Location: Home-office Location: Ideally drivable distance to Boston/Cambridge but will consider other locations in the US if open to travel.

The estimated base salary range for this position is $100,000 - $137,000. 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.

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