Having been involved in several hiring committees over recent years, it is sometimes a bit frustrating to not be able to give advice to applicants. We cannot do that in individual cases as a matter of HR policy. The decision-making process is confidential. But I hope that by offering some general observations I have made after reviewing many applications, that this might be of help to future seekers. We are, after all, trying to find the person who will provide the best job performance, not perform the best in the application process. But since we only have the application to judge the candidate by, learning to perform well in the application is essential. I sincerely wish that every candidate would present their best during the application process. On to specifics…
The Library Work Environment
Librarians have a service ethic. We are (mostly) in this profession to help: to help organize information, to help others find information, to help others use information. But information can be complex. So we are usually looking for a combination of both specialized technical expertise and the willingness and ability to explain, to teach, to help.
If you are already a working professional librarian, this paragraph probably does not apply to you, but others read on. We like people who like to read, to study, to use books. However, that is no longer what most library work is about. Even if you have used libraries extensively in the past, you probably do not know the particular requirements of the position we are advertising for. Avoid making sweeping statements about how you will enjoy the work, or will improve the Libraries. You just don’t know how that will play out.
The Cover Letter
In many of our positions, we are looking for people with advanced technical skills that they can put to use with us. It is common to find applications that list these skills on the resume, but that add little else. That kind of application might be fine in your discipline, especially for in-demand skills like newer programming languages. But (as mentioned above), we are seeking skills+service. Your cover letter is the place for you to demonstrate your communication skills and convey any evidence of your helpfulness, desire and experience teaching, and flexibility in learning and adapting to job requirements.
This is basic, but many still don’t do it. You should read the position description, and your cover letter should address how you meet each of the requirements. If you do not, you will probably be passed over for an applicant who has covered all of those bases. You may be capable of doing the job, but if the cover letter doesn’t explain how, we cannot fill in the blanks for you.
Also, it is nice if you think the job will help you develop your skills, be a good progression for your career, and so on. But you should limit discussion of that to just a sentence or two. The reason the job has been posted is that the Libraries need to get some work done. So 90% of your effort should be convincing us that you are the best person to do that work, not that the work is the best for you.
If you are selected for an interview, it means you are on a very short list of people we are seriously considering for the position, usually just two or three people. So congratulations!
Recognize that it is often not possible to “win” the interview over other candidates just by trying harder or saying things differently. Often it is the fundamental match of skills and experience to the position that determines the choice. A great candidate may just need more experience, or may be developing in a different direction than the Libraries’ current needs. Don’t sweat it if you are not the match today. Career development is a process, and not a linear one.
Do be a good sport about every step of the process. Mostly, everyone involved on the employer’s side is just trying to do their jobs well. All of academia is a small world, with plenty of chances to meet people again in different contexts. So be courteous and polite because you never know. The vast majority of you don’t need this reminder, but unfortunately there are a few who do.
During the interview, you want to continue what you started in your cover letter. Explain how you qualify for the position, and what strengths you have that make you the best candidate. Talk about both how you are knowledgeable and how you will be helpful. Show that you have good communication skills in person.
You should ask questions. It is often difficult for those with less experience and less practice interviewing to know what to ask, but you should prepare some questions beforehand. Questions show that you are seriously thinking about the work involved, and will be an active and engaged worker. At least you can ask what the employers expect to accomplish by hiring someone.
Listen to and respond directly to the questions asked of you. If there are multiple interviewers, which is typical, try to give attention to each person at least part of the time. They are there for a reason, and they will all have a voice in the final decision. Do not assume you know who is in charge, or the most important person in the room, and direct your attention only to them. You might not be right!
You may have many qualifications, but it is hard to list them all in a short interview. So think about the most powerful examples you can talk about in advance and have them ready. If you haven’t thought yet about how to describe your qualifications, definitely take the time before the interview. Don’t spend your limited time by talking about things you know are not as important, or where you may not have made much of a contribution, even if they are very interesting to you.
If you are new to the academic work environment (as compared to the classroom), you might be surprised by just how dry and formal it can be, especially in official settings like a job interview. So save raising any personal or highly opinionated topics for after you are hired. If there are personal issues that affect things like your schedule availability, you can raise those in a neutral way. It is fine to leave those discussions until after you have been selected too.
Good luck with your job search!
A bit late posting about this, but my R workshops start tomorrow. This year I am revising my materials to reflect a tidyverse-centric approach. I am not a tidyverse convert or even a particular fan, but I would like to teach this popular and coherent ecosystem as an entry-point to R. I hope it does not discourage learning the entire diversity of the R space.
These workshops are open to all without registration.
Bring your own laptop to these sessions to get the most out of them!
Later in the semester, there are plans to repeat these as webinars (schedule to come in late September).
R for data analysis: a tidyverse approach
- Wednesday, September 25 – 12:00-1:20 pm, LSM Conference Room
- Thursday, October 3– 2:50-4:10 pm, Alexander Library Room 415
The session introduces the R statistical software environment and basic methods of data analysis, and also introduces the “tidyverse”. While R is much more than the “tidyverse”, the development of the “tidyverse” set of packages, led by RStudio, has provided a powerful and connected toolkit to get started with using R. Note that graphics and data manipulation are covered in subsequent sessions.
R graphics with ggplot2
- Wednesday, October 2 – 12:00-1:20 pm, LSM Conference Room
- Thursday, October 10– 2:50-4:10 pm, Alexander Library Room 415
The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework. This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.
R data wrangling with dplyr, tidyr, readr and more
- Wednesday, October 9 – 12:00-1:20 pm, LSM Conference Room
- Thursday, October 24 – 2:50-4:10 pm, Alexander Library Room 415
Some of the most powerful features of the tidyverse relate to its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps require before (and during) data analysis.
R for interactivity: an introduction to Shiny
- Wednesday, October 23 – 12:00-1:20 pm, LSM Conference Room
- Thursday, October 31 – 2:50-4:10 pm, Alexander Library Room 415
Shiny is an R package that enables the creation of interactive websites for data visualization. This session provides a brief overview of the Shiny framework, and how to edit and publish Shiny sites in RStudio (with shinyapps.io). Familiarity with R/RStudio is assumed.
R for reproducible scientific documents: knitr, rmarkdown, and beyond
- Wednesday, October 30 – 12:00-1:20 pm, LSM Conference Room
- Thursday, November 7 – 2:50-4:10 pm, Alexander Library Room 415
The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment.