TEACHING AND LEARNING FELLOW IN MICROBIOME DATA ANALYSIS
The Department of Microbiology and Immunology (MICB) at the University of British Columbia is seeking a full time postdoctoral Teaching and Learning Fellow (TLF) to develop a cohesive and coordinated set of training modules in basic programming principles and data analysis to help undergraduate students in microbiology work more effectively with microbiome sequence information. These modules will provide iterative exposure to data science practice that progressively builds competency over two years of integrated course work. In-class experiences will be augmented with data science workshops sponsored by the ECOSCOPE training program (http://ecoscope.ubc.ca). The principal responsibilities of the TLF include:
- Co-development of data science modules that can be plugged into existing MICB courses in consultation with Dr. Steven Hallam (MICB), Statistics (STAT) and faculty course coordinators. The TLF will compile and prepare lesson plans, lecture materials, assignments and a unified data set for use across training modules. Each training module will be deployed in classroom settings by the TLF working with Dr. Hallam and a team of 4 graduate research assistants (GRAs). The TLF will coordinate, train and evaluate GRAs with input from Dr. Hallam and STAT.
- Coordination and promotion of extra-curricular opportunities for student interaction. The TLF will offer extra-curricular e-Sessions during which students can interact with the TLF and GRAs. Once per term the TLF will organize a “hackathon” event in consultation with ECOSCOPE providing a spirited social opportunity for motivated students to solve data-driven microbiome problems.
- Co-creation and oversight of website development in partnership with MICB. The website will contain module materials (notes, worksheets, data sets), instructions for installing software, FAQs, calendar of e-Sessions, and video recordings from workshops produced in partnership with MICB and ECOSCOPE.
- Evaluation of course material effectiveness. An evaluation committee consisting of Dr. Hallam, TLF, and faculty course coordinators will conduct an evaluation of the training modules with GRA input. The TLF will compile evaluation metrics from integrated courses and assess program effectiveness. The TLF will engage MICB, STATS and Computer Science Departments and coordinate meetings to report evaluation metrics, share ideas and consider new course development opportunities.
- Exploration of research and publishing opportunities. The TLF is highly encouraged to publish aspects of this work in academic journals and to conduct independent data-driven analysis of microbiome data sets used in module development.
Applicants should hold a PhD in a relevant discipline e.g. Ecology, Microbiology, Physics, Statistics or Bioinformatics and manifest competency with R/Python; version control and other practices related to collaborative and reproducible scientific research. They should be web savvy, manifest strong communication skills and have experience in undergraduate level instruction, evaluation and curriculum development. Enthusiasm for microbiome data analysis; microbial ecology; practical data management and information design are welcome attributes.
UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.
Applicants should compile a single PDF file with the following elements: cover letter, curriculum vitae, contact information for three references, teaching philosophy and any other pertinent information (e.g., evidence of teaching effectiveness or links to relevant data-driven experience). The cover letter should specifically address how this position relates to the applicant’s experience and career aspirations. The application package should be sent to email@example.com no later than March 31st. The appointment is initially for one year, with option for renewal dependent on performance and funding. Ideally, the position will commence before May 1, 2017.
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