JOB DESCRIPTION:
The postdoctoral fellow will conduct, report and present research in his/her field of study under the supervision of a faculty mentor. This is a training position and is not expected to be a permanent position.
Dr. Haiqing Zhao’s research lab at the University of Texas Medical Branch (UTMB), in the Dept. of Biochemistry & Molecular Biology and the Sealy Center for Structural Biology and Molecular Biophysics, focuses on developing and applying computational approaches to predict and study Protein-Protein Interactions (PPIs) at both molecular and systems-wide levels. Right now, we are seeking a dedicated and motivated Post-doctoral Fellow to join our dynamic research team. The successful candidate will engage in cutting-edge ML/AI research projects focusing on various aspects of bioinformatics, biochemistry, and molecular biology. Detailed projects include studying Host-Pathogen Interactomes and PPI theory in general. Projects of Host-Pathogen interaction will collaborate with Galveston National Lab (BSL-4). Please click the lab website (https://hzhao-lab.github.io/) to learn more about our research and position descriptions.
Located in Galveston, Texas – a beautiful island just south of Houston, UTMB has the first medical school in Texas and the nation’s first public medical school and hospital under unified leadership. It is involved in the world-class biomedical research community – Texas Medical Center (TMC) – the largest medical complex in the world. There are exceptional opportunities for scientific research and career development. As one example, multiple local trainee fellowships are available. A most recent one is due on Oct. 18, 2024.
ESSENTIAL JOB FUNCTIONS:
Conduct independent and collaborative research in computational biology, biochemistry, and molecular biology. Analyze big data and interpret results to contribute to ongoing projects. Collaborate with team members to design and implement new research protocols. Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences. Mentor graduate students and assist in training laboratory personnel on relevant techniques. Stay current with advancements in the field through literature review and participation in seminars.REQUIRED EDUCATION / EXPERIENCE:
Ph.D. in Bioinformatics, Computational Chemistry/Biology/Biophysics, or a related field. Strong background in research methodologies relevant to the position. Proficiency in programming language such as python, or C/C++. Experience in using ML/AI models in studying computational biology questions. Excellent analytical skills with the ability to interpret complex data sets. Strong written and verbal communication skills for effective collaboration and presentation of research findings. Ability to work independently as well as part of a team in a fast-paced research environment.MINIMUM QUALIFICATIONS:
Ph.D., M.D. or Doctoral equivalent in any field. Scientific research experience.
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a VEVRAA Federal Contractor, UTMB Health takes affirmative action to hire and advance women, minorities, protected veterans and individuals with disabilities.