Job Description
Summary
We are seeking a motivated, detail-oriented, and creative Research Associate to join a team of microbial genomics scientists at Baylor College of Medicine in the Department of Molecular Virology and Microbiology. The Tisza lab seeks to understand the genotype-phenotype relationship of human-associated viruses and bacteria through the lens of genomics. The Research Associate will conduct wet bench protocols and experiments as part of an effort sequence bacteria and viruses from wastewater as well as human-derived samples. This is an opportunity to develop new skills, gain mastery of the scientific method, and generate data that will provide insights to public health experts and genomics scientists. May also spend several hours per week developing bioinformatics skills under Dr. Tisza's guidance.
This role has the future potential of a hybrid work schedule with four onsite days per week.
Job Duties
- Developreusable, reproducible, performant, and distributable data analysis workflows
- Preparelibraries and conducts genomic sequencing on microbial DNA and RNA
- Maintainscrupulous electronic laboratory notebook and code repositories
- Meetregularly with the PI and team members to exchange knowledge and refine goals
- Maintaintheir physical and computational workspace and keeps lab inventory up to date
- Contributeto common lab tasks such as ordering and equipment maintenance
- Generatedetailed and “future proof” standard operating procedure documents for key lab protocols
- Generate figures and writing in advance of scientific publications
- Performother job related duties as assigned
Minimum Qualifications
- Master's degree in Basic Science or a related field.Experience in lieu of degree will not be accepted.
- Three years of relevant experience typically as a Research Assistant, Research Technician or Postdoctoral Fellow/Associate.
Preferred Qualifications
- Master's or doctoral degree in genomics, microbiology, or bioinformatics
- Experience with data analysis in R, python, or rust
- Experience with DNA sequencing machines
- Experience with Oxford Nanopore or PacBio sequencing machines
- Experience with genomic bioinformatics
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
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