Job description

The Baliga group at the Institute for Systems Biology (ISB) is seeking enthusiastic Research Scientist candidates in computational biology or related fields to study the adaptation and evolution of microbial communities. The Baliga group develops computational approaches to decipher the regulatory landscape of ecologically important organisms using next-generation sequencing data, dynamical experimental approaches and computational modeling.
Qualifications
Successful applicants will get to work in a vibrant interdisciplinary team of microbiologists, molecular biologists, computational biologists, and data scientists to investigate foundational questions in microbial ecology by advancing tools and technologies for systems analysis of microbial community behavior. The Baliga lab values creative scientists with cross-disciplinary training and demonstrated the ability to work independently and as a part of a team. Candidates with a Ph.D. in computational biology, machine learning, systems biology or bioinformatics, or a related field are preferred but candidates with a M.S. degree are also encouraged to apply. Strong analytical, programming, and communication skills are essential. Additional experience in building biological network models including the design and implementation of algorithms applied to the analysis of biological data is a plus. Experience with common bioinformatics methods, tools, websites, and data resources is important, in particular, high-throughput data analysis tools and techniques, statistical analysis, genomic, transcriptomic, and metabolomic analysis are preferred.
Focus Areas
There are two fully funded cross-cutting projects to understand the gene regulatory and metabolic mechanisms by which:

• Microbial interactions confer robustness to microbial communities in dynamic environments.

• Interplay of transcription and translation drives adaptation and evolution of microbial communities to different environments.

Applicants should include a brief (1-2 paragraph) statement summarizing their prior research, future plans, and their desired research focus area as they pertain to this position.
ISB is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

Job Type: Full-time

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