SCIENTIST III

University of Alabama at Birmingham, United States

Updated: 3 months ago
Location: Birmingham, ALABAMA

SCIENTIST III - (T213309)

Description

 

The University of Alabama at Birmingham is seeking a leading Academic Scientist position in our state-of-the-art AI in Medicine lab in the Systems Pharmacology Al Research Center (SPARC). The role is specifically designed for an individual with an extensive post-doctoral background ten plus years (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.

General Responsibilities  

  • To interpret, organize, execute and coordinate research assignments.
  • To formulate and conduct research on problems of considerable scope and complexity.
  • To explore subject area and define scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.

 

Key Duties & Responsibilities  

Leads Innovative Drug-Discovery Research (40%): 

  • Drives groundbreaking projects in AI-enabled drug discovery from conceptualization to implementation.
  • Develops and oversees research protocols, data collection, and milestone achievements.
  • Executes advanced statistical and machine learning analyses on collected research data.
  • Interprets the results and leads the writing and submission of manuscripts for peer-reviewed journals, ensuring effective communication of research findings.

    •  

    Writes and Secures Research Grants and Other External Research Funding to Expand Operations (15%):

  • Identifies various grant and external funding opportunities, leads the writing and submission of applications, and secures funding to expand the lab's research capabilities and operations.
  • Manages and reports on the usage of funds to ensure effective allocation.

    •  

    Develops Industrial-Commercial Collaborative Projects (15%):

  • Initiates and maintains relationships with industrial and commercial partners.
  • Leads and participates in multidisciplinary research collaborations, focusing on translating academic research into industrial applications and commercial ventures.

    •  

    Translates Research into Commercial Ventures (10%):

  • Engages in technology transfer activities to transition research findings into commercial applications.
  • Liaises with stakeholders and consult on startup ventures related to AI in drug discovery.

    •  

    Mentors and Trains Research Staff (10%):

  • Mentors graduate and undergraduate research assistants and interns in the lab.
  • Conducts hands-on training sessions in relevant computational methodologies and techniques.
  • Evaluates performance and offers constructive feedback to enhance research skills.

    •  

    Manages Lab Operations and Resources (5%):

  • Oversees the day-to-day lab activities, ensuring efficient operations.
  • Manages lab resources, including equipment and budgets, to support ongoing research projects and expansions. 
  • Performs other duties as assigned.  

    • Annual Salary Range   $80,300.00 - $133,300.00

     

    Qualifications

     
    • Doctor of Philosophy, D.V.M. or M.D. degree in a related field and six (6) years of related experience
    • OR M.D. and Master's degree and four (4) years of related experience

     

    Work experience may NOT substitute for education requirement. 

     

    Preferences

    • AI/ML Expertise: Deep understanding of machine learning algorithms, neural networks, and their application in drug discovery is highly preferred.
    • Computational Chemistry: Proficiency in molecular dynamics simulations, quantum chemistry, and docking simulations.
    • Programming Languages: Proficiency in Python, R, or other languages commonly used in data analysis and machine learning.
    • Bioinformatics Tools: Extensive experience with tools and databases for genomics, structural biology, and chemical informatics.
    • Statistical Analysis: Strong skills in statistical methods including but not limited to regression analysis, hypothesis testing, and Bayesian inference.
    • Data Management: Familiarity with handling large datasets, database management, and data integration techniques.

    Key Skills

    • Leadership: Ability to lead, guide, and mentor a team of researchers and students.
    • Communication: Excellent verbal and written communication skills for publishing research, delivering presentations, and grant writing.
    • Collaboration: Ability to work efficiently in a multidisciplinary environment, with the capability to integrate various scientific domains.
    • Problem-Solving: Strong analytical thinking and the ability to approach complex scientific problems creatively.
    • Time Management: Ability to manage multiple projects and deadlines effectively.
     
    Primary Location
    : University
    Job Category
    : Scientific Research
    Organization
    : 393001000 Systems Pharmacology AI Research Center (SPARC)
    Employee Status
    : Regular
    Shift: Day/1st Shift
    Work Arrangement (final schedule to be determined by the department/hiring manager): Remote/Hybrid Eligible

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