STEMM Jobs

OPS-Research Assistant- AI-driven Drug Discovery

 
  • University of Florida
  • United States
  • Jun 30, 2023
Part Time - Fixed Term
About University of Florida
At the University of Florida, we are a people of purpose. We're committed to challenging convention and ourselves. We see things not as they are, but as they could be. And we strive for a greater impact: one measured in people helped...

Job Description:

Classification Title:

OPS-Research Assistant- AI-driven Drug Discovery
Job Description:

The Department of Medicinal Chemistry is hiring for a part-time OPS – Research Assistant – AI-driven Drug Discovery. Duties will include:

  • Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.
  • Apply computational techniques, data analysis, and visualization methods for ongoing studies.
  • Train and validate large deep learning models at scale.
  • Develop optimized data pipelines to fuel deep learning models, and maximize the value of public and proprietary data assets.
  • Collaborate closely with PI, research assistants, computational biologists, experimental biologists, and chemists on research projects and scientific papers.

The University of Florida, College of Pharmacy, strives to stimulate a culture that promotes diversity and inclusion within an exceptional community of students, faculty and staff. We welcome applicants from diverse backgrounds and are committed to developing leaders who respect, support and have a positive impact on all individuals.

In recognition of its efforts to cultivate a diverse and inclusive environment, the College of Pharmacy was the recipient of a 2021 Insight into Diversity Health Professions Higher Education Excellence in Diversity Award.
Expected Salary:

Commensurate with education and experience.
Minimum Requirements:

Bachelor's or Master's degree in computer science, electronic engineering, bioinformatics, computational biology, computational chemistry, statistics, data science, or related disciplines.
Preferred Qualifications:
  • Interests in AI-driven drug discovery and deep learning research, and self-motivated.
  • Solid Math/Statistics and coding skills in Python/R, PyTorch, and TensorFlow.
  • Demonstrated research experience in the deep learning field.
  • Good written and oral communication skills. Proactive, perseverant, and eager to learn.
  • Ability to manage time efficiently and meet deadlines.
Special Instructions to Applicants:

This requisition has been reposted. Previous applicants are still under consideration and need not apply.

In order to be considered, you must upload your cover letter and resume.

This is a time-limited position

Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required: No



  •  or Save this Job
    • col-narrow-left   

    Job ID:

    24966

    Location:

    Gainesville 
    col-narrow-right   

    Job Views:

    126

    Employment Type:

    Part Time - Fixed Term
    col-wide   

    Job Description:

    "\n\n\n\n\n\n\n\n\n
    Classification Title:<\/th>\n\n

    OPS-Research Assistant- AI-driven Drug Discovery<\/p>\n<\/td>\n<\/tr>\n

    Job Description:<\/th>\n\n

    The Department of Medicinal Chemistry is hiring for a part-time OPS \u2013 Research Assistant \u2013 AI-driven Drug Discovery. Duties will include:<\/p>\n

      \n
    • Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.<\/li>\n
    • Apply computational techniques, data analysis, and visualization methods for ongoing studies.<\/li>\n
    • Train and validate large deep learning models at scale.<\/li>\n
    • Develop optimized data pipelines to fuel deep learning models, and maximize the value of public and proprietary data assets.<\/li>\n
    • Collaborate closely with PI, research assistants, computational biologists, experimental biologists, and chemists on research projects and scientific papers.<\/li>\n<\/ul>\n

      The University of Florida, College of Pharmacy, strives to stimulate a culture that promotes diversity and inclusion within an exceptional community of students, faculty and staff. We welcome applicants from diverse backgrounds and are committed to developing leaders who respect, support and have a positive impact on all individuals.<\/p>\n

      In recognition of its efforts to cultivate a diverse and inclusive environment, the College of Pharmacy was the recipient of a 2021 Insight into Diversity Health Professions Higher Education Excellence in Diversity Award.<\/p>\n<\/td>\n<\/tr>\n

    Expected Salary:<\/th>\n\n

    Commensurate with education and experience.<\/p>\n<\/td>\n<\/tr>\n

    Minimum Requirements:<\/th>\n\n

    Bachelor's or Master's degree in computer science, electronic engineering, bioinformatics, computational biology, computational chemistry, statistics, data science, or related disciplines.<\/p>\n<\/td>\n<\/tr>\n

    Preferred Qualifications:<\/th>\n\n
      \n
    • Interests in AI-driven drug discovery and deep learning research, and self-motivated.<\/li>\n
    • Solid Math\/Statistics and coding skills in Python\/R, PyTorch, and TensorFlow.<\/li>\n
    • Demonstrated research experience in the deep learning field.<\/li>\n
    • Good written and oral communication skills. Proactive, perseverant, and eager to learn.<\/li>\n
    • Ability to manage time efficiently and meet deadlines.<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
    Special Instructions to Applicants:<\/th>\n\n

    This requisition has been reposted. Previous applicants are still under consideration and need not apply.<\/p>\n

    In order to be considered, you must upload your cover letter and resume.<\/p>\n

    This is a time-limited position <\/p>\n

    Application must be submitted by 11:55 p.m. (ET) of the posting end date.<\/p>\n<\/td>\n<\/tr>\n

    Health Assessment Required:<\/th>\nNo<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    <\/p>"

    Posted:

    30/06/2023