• Job Description

  Req#: 214755
  !*!
  The University of Alabama at Birmingham, Informatics Institute, is seeking qualified candidates to apply for a leading Academic Scientist position in our state-of-the-art AI in Medicine lab. The role is specifically designed for an individual with an extensive post-doctoral background ten plus (10+) years in chemistry, pharmacology, entrepreneurship, and drug discovery. The selected candidate will be central to advancing and guiding multidisciplinary research in AI/ML-enabled drug discovery, pharmacology, genomics, structural genomics, molecular dynamics, docking simulations, and chemical screenings. Satisfactory performance in this position requires a candidate with an extensive skill set, combining technical expertise with strong leadership and project management abilities. The ideal candidate will be able to integrate these skills to drive the lab's research agenda and contribute meaningfully to its expansion and success.
  General Responsibilities
  1. To employ a broad knowledge of principles, practices and procedures in a particular field of specialization.
  2. To plan, coordinate and conduct research.
  Key Duties & Responsibilities
  1. Plans, coordinates and conducts scientific research requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard scientific techniques, writes grant applications, carries projects to completion and supervises/trains employees and students.
  2. Designs, performs and/or oversees experiments and data collection to ensure data integrity, quality control and protocol compliance.
  3. Collects, analyzes and interprets data; prepares statistical and narrative reports and/or graphs.
  4. Supervises and/or performs equipment maintenance, operations and quality control procedures.
  5. Performs and/or oversees new research procedures.
  6. Serves as principal investigator on sub-projects of complexities.
  7. Performs other duties as assigned.
  Annual Salary Range $63,125.00 - $103,700.00
  !*!
  • Doctor of Philosophy, D.V.M. or M.D. degree in a related field and two (2) years of related experience
  • OR M.D. and Master's degree.
  • OR Master's degree and four (4) years of related experience
  • OR Bachelor's degree and six (6) years of related experience
  Work experience may NOT substitute for education requirement.
  Preferences
  • PhD Degree is required, in the following disciplines: Chemistry, Pharmacology, Computational Biology, Computer Science, Data Science, Biomedical Informatics, or Bioinformatics.
  Knowledge in:
  • AI/ML Algorithms and Frameworks: Deep understanding of machine learning algorithms, particularly as applied to drug discovery and pharmacology.
  • Pharmacology and Genomics: Extensive knowledge in pharmacology, genomics, structural genomics, and molecular dynamics/docking simulations.
  • Chemical Screenings: Proficiency in conducting and interpreting chemical screenings relevant to drug discovery.
  • Biomedical Informatics: Familiarity with bioinformatics, biomedical informatics, and data science methodologies as they pertain to drug discovery and clinical research.
  • Grant Writing: Knowledge of grant application processes, including identification of opportunities, proposal writing, and financial management.
  Key Skills
  • Research Design: Ability to conceptualize, design, and execute complex research projects.
  • Data Analysis: Expertise in data analytics tools and programming languages such as Python, R, or MATLAB.
  • Technical Writing: Proficient in technical writing for both grant applications and scientific publications.
  • Project Management: Demonstrable skills in managing timelines, resources, and team members to ensure project success.
  • Statistical Analysis: Strong skills in applying statistical methods for analyzing large datasets.
  • Leadership: Demonstrable ability to lead and manage a multidisciplinary research team.
  • Collaboration: Exceptional ability to collaborate across disciplines and with external partners in academia and industry.
  • Communication: Excellent oral and written communication skills, able to articulate complex scientific ideas to diverse audiences.
  • Critical Thinking: Ability to critically evaluate data, design experiments, and make data-driven decisions.
  • Adaptability: Capability to adapt to new technologies, research methods, and project requirements.

• About the company

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