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Biology/Computational Biology - Summer Research Program


Pay$20.90 - $26.15 / hour
LocationMaryland
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: JR100815
      Employer Industry: Biotechnology and Vaccine Research

      Why consider this job opportunity:
      - Salary up to $26.15 per hour
      - Opportunity for mentorship from experienced researchers in computational and experimental vaccine science
      - Hands-on exposure to real-world applications of AI and biology in an industry research setting
      - Flexible work location: remote or on-site at Gaithersburg, Maryland
      - Comprehensive benefits package including medical, dental, vision, and 401(k) plan
      - Professional career development and growth opportunities

      What to Expect (Job Responsibilities):
      - Assist in the computational design of novel protein antigens for vaccine research
      - Apply and evaluate emerging AI/ML approaches for protein sequence and structure design
      - Support experimental assessment and analysis of designed protein antigens in collaboration with laboratory teams
      - Analyze and interpret computational and experimental data; document results and insights
      - Contribute to internal reports, presentations, and project discussions

      What is Required (Qualifications):
      - Currently enrolled as a full-time undergraduate (B.S.) or Master's student at a U.S. university during Summer 2026
      - Major field of study should be in Computer Science, Biology, Computational Biology, Bioinformatics, or a closely related field
      - Completion of at least 25% of required academic credits toward the degree program
      - Strong interest in vaccine research, protein design, or AI applications in biology
      - Basic proficiency in at least one programming language (e.g., Python, R, or similar)

      How to Stand Out (Preferred Qualifications):
      - Coursework or experience in machine learning, deep learning, or AI
      - Familiarity with protein biology, structural biology, or bioinformatics tools
      - Experience with data analysis, scientific computing, or cloud-based workflows
      - Prior exposure to large language models (LLMs), GPTs, or generative models applied to scientific problems

      #Biotechnology #VaccineResearch #AIinBiology #ResearchOpportunity #CareerDevelopment

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