The part-time lecturer’s responsibilities will include developing and teaching up to three new courses appropriate for MS-level and advanced undergraduate students in biology who do not have prior expertise in computer science:
· Biostatistics for Bioinformatics (using R) (fall): a new course covering core statistical concepts essential for modern bioinformatics analysis, with topics including regression models, hypothesis testing, multiple testing correction, and interpretation of p-values and z-scores. We expect most class examples and homework assignments will be directly relevant to mammalian biology, physiology, and disease.
Introduction to Bioinformatics (spring): a new course introducing fundamental concepts, data types, and analytical approaches in bioinformatics, exposing students to a broad range of applications such as genomics in cancer and rare disease, single-cell and bulk transcriptomics, proteomics, metabolomics, and other data-driven biological analyses. Most students in this course will have taken Biostatistics for Bioinformatics (above) and will concurrently take a new hands-on course in Applied Bioinformatics (not part of this position).
· Elective (either semester): One additional new bioinformatics-related elective that matches the candidate’s expertise and is accessible to biology-trained students.
Required Qualifications:
· Qualified candidates must hold a PhD in bioinformatics or a related field (e.g., computational biology or systems biology) or have equivalent experience (e.g., MS plus significant work experience).
· Candidates should have prior teaching experience, which could include undergraduate/graduate instruction, professional education, mentorship of trainees or employees, or similar activities.
· Candidates should be able to describe how they will contribute to the success and career enhancement of Biology MS students enrolled in our bioinformatics specialization.
Preferred Qualifications:
· Bioinformatics experience in the private sector (esp. biotech/pharmaceutical industry).
· Experience collaborating with industry partners on applied research and/or career?relevant curricula.
· Familiarity with scalable, reproducible bioinformatics workflows and high-performance computing (HPC) environments.
This is an academic year, 1-year position that is renewable contingent upon performance. Part-time lecturers teaching three or more courses per academic year are eligible for benefits.
All application materials must be submitted via Interfolio at: apply.interfolio.com/182390 Applicants should submit a cover letter, curriculum vitae, and sample syllabi for ?biostatistics for bioinformatics? and/or ?introduction to bioinformatics? (whichever course(s) for which the applicant wishes to be considered). A sample syllabus for a bioinformatics elective is optional. In addition, three confidential letters of recommendation addressing the candidate?s potential as a university teacher should be submitted separately to Interfolio.
Review of applications will begin on March 15th and continue until the position is filled. All offers of employment are contingent upon the completion of a background check.
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