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Research Intern - Computational and Structural Biologist


Pay$16.00 / hour
LocationParsippany/New Jersey
Employment typeFull-Time

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  • Job Description

      Req#: JR00016771
      Employer Industry: Biotechnology

      Why consider this job opportunity:
      - Hourly pay up to $40.30 for students pursuing a Doctorate-level degree
      - Opportunity to gain hands-on experience in computational and structural biology
      - Flexible work arrangement with the option to work remotely
      - Collaborate with internal teams and contribute to impactful research
      - Strong emphasis on professional development and skill enhancement

      What to Expect (Job Responsibilities):
      - Set up and implement coarse-grained molecular dynamics simulations to study antibody-target binding events
      - Parameterize, generate, analyze, and report results while troubleshooting any potential issues
      - Document work thoroughly and interface regularly to update project strategies and deliverables
      - Communicate and present data effectively to the internal team
      - Exhibit strong time management and communication skills while working remotely

      What is Required (Qualifications):
      - Pursuing a Bachelor’s, Master’s, or PhD degree in Biochemistry, Structural Biology, Computational Biology, Chemistry, Computational Chemistry, or a related field
      - Experience in molecular dynamics, coarse-grained simulations, or equivalent computational chemistry methods is strongly desired
      - Comfort with remote management and reporting results to an internal team
      - Experience in a programming language is preferred
      - Strong time management and communication skills

      How to Stand Out (Preferred Qualifications):
      - Familiarity with molecular dynamics and protein dynamics modeling
      - Experience in programming languages relevant to computational biology
      - Previous experience working remotely or in a team-oriented environment
      - Demonstrated ability to troubleshoot and solve complex scientific problems
      - Background in presenting scientific data effectively

      #Biotechnology #InternshipOpportunity #ComputationalBiology #RemoteWork #CareerDevelopment

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