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Data Scientist, AI/ML Antibody Design

Company: Research & Diagnostic Systems, Inc.
Location: Minneapolis
Posted on: May 6, 2025

Job Description:

Data Scientist, AI/ML Antibody Design
Apply locations: Minneapolis, MN
Time type: Full time
Posted on: Posted 2 Days Ago
Job requisition id: JR100762
By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
Pay Range: $69,800.00 - $114,800.00
Position Summary:
The Antibody AI Scientist within the antibody discovery group will be part of a team involved in developing machine learning-based antibody design initiatives. The Antibody AI Scientist will work within a cross-functional team in a fast-paced environment. The successful candidate will have expertise in implementing current AI/ML models for designing antibodies as well as the ability to develop new AI models using internal datasets. In addition to skill sets in computer science, the right candidate should have technical knowledge of the antibody development process. This role will have a significant impact on developing new and novel antibodies to meet the exacting needs of scientists in life sciences involved in cutting-edge discoveries.
Key Responsibilities:

  • Develop novel strategies and optimize existing ML programs to enable input of wet lab data for better predictability.
  • Apply knowledge of antibody repertoire analysis, sequence databases (OAIS, Nanobody database), structural databases (PDB, AF2, UniProt), and others to design, build, and evaluate new AI/ML models.
  • Collaborate with wet-lab scientists to use design-build-test cycles to develop functional antibodies.
  • Implement and develop ML-based solutions with active learning for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, and other antibody engineering challenges.
  • Communicate progress and project recommendations in one-on-ones, project teams, and company-wide meetings.

    Education and Experience:

  • M.S. in Computer Science, Machine Learning, Bioinformatics, or a related field with 2+ years of relevant experience.
  • Or, Bachelor's degree in Computer Science, Machine Learning, Bioinformatics, or a related field with 5+ years of relevant experience.
  • Experience with big data analytics is required.

    Knowledge, Skills, and Abilities:

  • Knowledge of statistics and machine learning fundamentals.
  • Ability to conduct model training with Python and other high-level languages.
  • Applying machine learning and AI algorithms to protein/antibody design is highly preferred but not required.

    Why Join Bio-Techne:

  • Competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, legal, and ID shield.
  • Investment in employees' financial futures through 401k plans, ESPP, HSA, FSA, and Dependent Care FSA.
  • Career development through mentorship, promotions, training, tuition reimbursement, internships, and more.
  • Employee resource groups, volunteer paid time off, events, and charity drives fostering a culture of caring and belonging.
  • Paid holidays, paid time off, and parental leave.
  • Culture of empowerment and innovation, valuing employee ideas.

    Bio-Techne is an E-Verify Employer in the United States.
    All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
    Bio-Techne will not accept unsolicited resumes from sources other than candidates directly applying. Unsolicited resumes will be considered property of Bio-Techne.
    About Us
    Bio-Techne empowers researchers in Life Science and Clinical Diagnostics by providing high-quality reagents, instruments, custom manufacturing, and testing services. Our brands create a unique portfolio of products and services.Science is our passion; it drives us to collaborate, develop, and manufacture award-winning tools that help researchers achieve reproducible and consistent results.
    #J-18808-Ljbffr

Keywords: Research & Diagnostic Systems, Inc., Burnsville , Data Scientist, AI/ML Antibody Design, Other , Minneapolis, Minnesota

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