Description

Job Description

The Gragert Lab in the Tulane Deming Department of Medicine, Section of Biomedical Informatics and Genomics, is seeking a Postdoctoral Fellow with a computational research background in bioinformatics, immunogenetics, and/or transplantation.

The Gragert Lab focuses on investigating the role of immune gene variation (HLA and KIR) in transplantation, cancer, and immune-mediated diseases. The role of this postdoctoral researcher will be to develop software and bioinformatics workflows for analysis of immunogenetic data, conduct genetic association studies, and build population genetic models. This position will specifically involve analyzing HLA immunogenetics and antibody data in the context of solid organ allocation and transplant outcomes and other projects as assigned by the principal investigator Dr. Loren Gragert. The postdoc fellow will also be responsible for developing manuscripts/presentations as well as mentoring other lab trainees as needed.

See the Gragert laboratory website for more information on lab activities: http://hla.tulane.edu

Required Applicant Materials:

Interested candidates should submit the following materials:

• Curriculum Vitae
• Contact information for at least three professional references

For further inquiries about this position, please email Dr. Loren Gragert, at [email protected].

Responsibilities

• Execute biomedical research as assigned by the laboratory Principal Investigator.
• Follows experimental design in a careful and timely manner
• Maintain an accurate and up to date written record of all experiments and protocols.
• Translate research data into publication quality figures and tables.
• Assist in the care and management of laboratory equipment and facilities and other duties delegated by the Principal Investigator.

Qualifications

• PhD in Genetics, Immunology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related science and engineering field.
• Experience with bioinformatics analysis of DNA sequence data.
• Computer programming experience in a statistical programming language such as R and a scripting language such as Python.
  
  Experience with biological data science including managing and analyzing genetics data and applying statistical methods.
• Expertise in machine learning and/or development of novel statistical methods.

About Us

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 [email protected].