The Johnston Laboratory is an interdisciplinary and highly collaborative team of microbiologists, synthetic biologists, bioinformaticians and engineers. The long-term goal of our research is to gain a comprehensive understanding of the capabilities of microbes/microbial communities within tumors, elucidate the underlying mechanisms driving their behavior, and utilize this knowledge to engineer innovative therapeutics and advanced microbe-based technologies for cancer prevention and treatment. To achieve this, we employ cutting-edge bacterial omics techniques (including pangenomics, pan-epigenomics, transcriptomics, and metabolomics) to generate hypotheses centered on understanding how specific microbes migrate to, colonize, and persist within human tumors. We then utilize synthetic microbiology principles to develop genetic systems for these tumor-associated microbes, allowing us to experimentally test and refine our hypotheses using in-vitro and pre-clinical models of disease. Moreover, using knowledge gained, we aim to harness the innate abilities of microbes to access recalcitrant areas of the tumor microenvironment and engineer them as effective delivery vehicles for therapeutic payloads.

EDUCATION

Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Preferred Master’s or PhD in in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.

EXPERIENCE

Required: Three years experience in scientific software or industry development/analysis. With Master’s degree, one years experience required. With PhD, no experience required.

Preferred: Ideal candidate will have:

• Experience in software development, data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Extensive experience working with at least one of the following datasets, e.g. whole genome analyses (assembly and annotation tools, Pangenomics), Metagenome analyses (community

compositional assessment and comparisons), epigenome analysis (SMRTseq, ChipSeq, ATACseq - data pipelines)

• Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++)
• Ability to learn new tools and content quickly and independently.
• Strong oral and communication skills

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information

• Requisition ID: 167085
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 103,000
• Midpoint Salary: US Dollar (USD) 129,000
• Maximum Salary : US Dollar (USD) 155,000
• FLSA: exempt and not eligible for overtime pay
• Fund Type: Soft
• Work Location: Remote
• Pivotal Position: Yes
• Referral Bonus Available?: Yes
• Relocation Assistance Available?: Yes
• Science Jobs: Yes

LI-Remot

Please refer the Job description for details