Under general supervision of U54 grant Pls/PD, conducts computational modeling and drug discovery studies In the Center for Biomedical and Minority Health Research (CBMHR). Specifically, responsible for computational and molecular modeling, and data computing of related projects and leading compound screening using computational methods such as virtual lead compounds screening from different compounds libraries, Including assisting with modeling for target Identification and validation, drug discovery and pre-clinical development, mechanistic studies for clinical trials, and PD data analysis. He/she is responsible for operating and maintaining software programs and Instruments; providing service and technical support to internal and external users; providing direct support to the CBMHR leadership, faculty, users and staff members; submitting reports, publishing and presenting data, and applying for funding. Responsible for screening active entitles Identified from in vitro and In vivo models, and determining the mechanism of actions of the identified active compounds using computational chemistry, molecular modeling, and other in slilico methods. This is a Grant Funded position. Essential Duties Summary • Conducts computational modeling related to Drug Discovery and Pre-Clinical Development projects in laboratory activities including study design, execution of various experiments, data collection, data interpretation, laboratory supplies, and daily operations of the lab. • Responsible for screening active entitles using computational chemistry, molecular modeling, and other in silica methods, and determining the mechanism of actions of the identified active compounds using computational methods. • Coordinates and conducts assay method development, optimization, and validation process for drug discovery and pre-clinical development, drug analysis, and PD analysis. • Maintains all CBMHR software, instruments, develops and implements record-keeping systems 011 program participants, staff, equipment Inventories and compliance activities. Prepares facility activity reports and program status to the users, university and funding agency. • Trains Undergraduate and Graduate students in computational research skills. • Publishes data, presents at conferences and seeks external funding. • Performs other job-related duties as assigned. % FTE 1.0 Hiring Range $20.181155 - $25.2261 Education Ph.D degree in biomedical science-related field, with computational and molecular modeling background. Required Licensing/Certification N/A Knowledge, Skills, and Abilities Knowledge of: • Policies, procedures, and practices. • Knowledge of basic office and financial processes and procedures. Skill in: • Detail oriented. • Problem-solving and decision-making. • Multitasking and time management. • Writing documents. • Both verbal and written communication. • Computational and molecular modeling, and data computing of related projects and leading compounds screening using computational methods such as virtual leading compounds screening from different compounds libraries, including assisting with modeling for target identification and validation, drug discovery and pre-clinical development, mechanistic studies for clinical trials, and PD data analysis. Ability to: • Requires moderate Interpersonal and communication skills to ensure that customer requests or needs are met. Acknowledges and clarifies customer inquiries, requests, or complaints to ensure that needs are Identified, documented and addressed. • Operating and maintaining software and Instruments; providing service and technical support to internal and external users; providing direct support to the CBMHR leadership, faculty, users and staff members; submitting reports, publishing and presenting data, and applying for funding. • Performs tasks and duties under general supervision, using established procedures and some innovation. Chooses from alternatives to resolve problems. Independent judgment is required to complete work assignments. Often makes recommendations to work procedures, policies and practices. Refers unusual problems to supervisor. Work Experience Requires more than two years of research experience working in the field of computational modeling. Requires working knowledge of computational chemistry, specialized practices, equipment, compliance and procedures. Required to have experience in pharmaceutical laboratory researches including computational modeling and drug discovery and pre-clinical drug development, animal care and handling. Leadership/Supervisory Responsibilities N/A Work Complexity/Budget Authority N/A Independent Judgment/Decision Making/Problem Solving Skills N/A Personal/Organizational Contacts N/A Customer Service Relationships N/A Working/Environmental Conditions Routine office environment. Sitting or standing in one location much of the time. Some stooping, lifting or carrying objects light weight may be required. Use of video display terminal. Desired start date Position End Date (if temporary) UA EEO Statement It is the policy of Texas Southern University to provide a work environment that is free from discrimination for all persons regardless of race, color, religion, sex, age, national origin, individuals with disability, sexual orientation, or protected veteran status in its programs, activities, admissions or employment policies. This policy of equal opportunity is strictly observed in all University employment-related activities such as advertising, recruiting, interviewing, testing, employment training, compensation, promotion, termination, and employment benefits. This policy expressly prohibits harassment and discrimination in employment based on race, color, religion, gender, gender identity, genetic history, national origin, individuals with disability, age, citizenship status, or protected veteran status. This policy shall be adhered to in accordance with the provisions of all applicable federal, state and local laws, including, but not limited to, Title VII of the Civil Rights Act. Manual of Administrative Policies and Procedures Close Date 12/21/2020 Open Until Filled (overrides close field) No Special Instructions to Applicants Open to all applicants.
