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Fwd: [d-ssc] UBC: Teaching and Learning Fellow in Microbiome Data Analysis




Richard Lockhart,  Professor

Stat & Act Sci; Simon Fraser Univ.     Phone:  (778) 782-3264
Burnaby BC V5A 1S6                     FAX:    (778) 782-4368
e-mail:   lockhart@sfu.ca




Begin forwarded message:

From: Ali Hauschildt <headsec@stat.ubc.ca>
Subject: [d-ssc] UBC: Teaching and Learning Fellow in Microbiome Data Analysis
Date: February 17, 2017 at 7:28:01 PM GMT
To: undisclosed-recipients:;

This message is being sent on behalf of Nancy Heckman, Professor and Head of the UBC Department of Statistics.
____________________

Please circulate the below to all who might be interested. This position is with the Department of Microbiology and Immunology, as a team member on an exciting project to integrate data science skills into a select collection of undergraduate microbiology courses. The UBC Department of Statistics is a partner in this project, advising on curriculum. It’s a really neat opportunity.

Start date by May 1, 2017.

Apply to shallam@mail.ubc.ca no later than March 31.

********************

TEACHING AND LEARNING FELLOW IN MICROBIOME DATA ANALYSIS 
  
The Department of Microbiology and Immunology (MICB) at the University of British Columbia is seeking afull time postdoctoral Teaching and Learning Fellow (TLF) to develop a cohesive and coordinated set of trainingmodules in basic programming principles and data analysis to help undergraduate students in microbiologywork more effectively with microbiome sequence information. These modules will provide iterative exposure todata science practice that progressively builds competency over two years of integrated course work. In-classexperiences 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 compileand prepare lesson plans, lecture materials, assignments and a unified data set for use across trainingmodules. Each training module will be deployed in classroom settings by the TLF working with Dr. Hallamand a team of 4 graduate research assistants (GRAs). The TLF will coordinate, train and evaluate GRAswith input from Dr. Hallam and STAT.

  • Coordination and promotion of extra-curricular opportunities for student interaction. The TLF will offerextra-curricular e-Sessions during which students can interact with the TLF and GRAs. Once per term theTLF will organize a “hackathon” event in consultation with ECOSCOPE providing a spirited socialopportunity for motivated students to solve data-driven microbiome problems.

  • Co-creation and oversight of website development in partnership with MICB. The website will containmodule 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, andfaculty course coordinators will conduct an evaluation of the training modules with GRA input. The TLF willcompile evaluation metrics from integrated courses and assess program effectiveness. The TLF willengage MICB, STATS and Computer Science Departments and coordinate meetings to report evaluationmetrics, share ideas and consider new course development opportunities.
  • Exploration of research and publishing opportunities. The TLF is highly encouraged to publish aspectsof this work in academic journals and to conduct independent data-driven analysis of microbiome datasets used in module development.
  
Applicants should hold a PhD in a relevant discipline e.g. Ecology, Microbiology, Physics, Statistics orBioinformatics and manifest competency with R/Python; version control and other practices related tocollaborative and reproducible scientific research. They should be web savvy, manifest strong communicationskills and have experience in undergraduate level instruction, evaluation and curriculum development.Enthusiasm for microbiome data analysis; microbial ecology; practical data management and information designare 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 withdisabilities, persons of minority sexual orientations and gender identities, and others with the skills andknowledge 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, contactinformation for three references, teaching philosophy and any other pertinent information (e.g., evidence ofteaching effectiveness or links to relevant data-driven experience). The cover letter should specifically addresshow this position relates to the applicant’s experience and career aspirations. The application package shouldbe sent to shallam@mail.ubc.ca no later than March 31st. The appointment is initially for one year, with optionfor renewal dependent on performance and funding. Ideally, the position will commence before May 1, 2017.

Sincerely, 

Steven Hallam
ECOSCOPE Director
CIFAR Scholar and Canada Research Chair in Environmental Genomics






 






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