Postdoctoral Fellow

The Zwezdaryk laboratory at Tulane University is seeking a highly talented and self-motivated molecular biologist for a funded post-doctoral position. Dr. Zwezdaryk’s team integrates experimental and computational methodologies to design novel point-of-care diagnostics and uncover the molecular mechanisms driving specificity and sensitivity. Our groups consist of members from diverse fields, including molecular and cell biology, immunology, microbiology, neuroscience, computational biology, and statistics, providing an excellent environment for interdisciplinary research training. We utilize cutting-edge technologies such as CRISPR-Cas12a and padlock probes combined with innovative machine learning and AI approaches, to design novel point-of-care diagnostics. Prospective postdocs will have the opportunity to work on one or more funded projects and collaborate with multiple groups at national and international research centers. 

• Direct, hands-on experience in common molecular biology techniques (PCR, transformation, electrophoresis, DNA/RNA/protein characterization);
• Experience in genetic modification, including DNA construct design and cloning;
  Experience in standard analytical techniques (spectroscopy, microscopy, etc.);
• Proven record of high technical achievement, as evidenced by publication record.
• Proficiency in scripting environments for statistics and data analysis (R/Bioconductor, Python) and familiarity with command line interfaces and the Linux operating system.
• Candidates should be scientifically curious and able to work independently.

REQUIRED EDUCATION AND EXPERIENCE: 

• Ph.D. 
• Research experience in the areas of bioengineering, cell and molecular biology, biotechnology, immunology, microbiology, biology, biochemistry, or biostatistics

PREFERRED QUALIFICATIONS: 

• Experience in development or use of CRISPR-Cas technology.
• The ability to conduct creative, independent research.
• Experience in milestone-driven research.
• Strong written and oral communication skills.
• Strong work ethic.
• Demonstrated dedication to laboratory safety.
• Expertise in statistical methods and algorithm development for biological systems.
• Familiarity with machine learning, and deep learning techniques.

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.