Humanist Discussion Group, Vol. 33, No. 520. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: firstname.lastname@example.org  From: nhora lucia serrano
Subject: Data Science/Analysis Research Librarian (182)  From: Walden, Katherine Subject: Data Scientist at Grinnell College (Iowa) (86)  From: Christian Goursaud Subject: Research Fellow (digital musicology), Royal Birmingham Conservatoire (0.6FTE) (31) -------------------------------------------------------------------------- Date: 2019-12-31 09:38:36+00:00 From: nhora lucia serrano Subject: Data Science/Analysis Research Librarian Hi All, Hamilton College's Research and Instructional Design Team is looking for a Data Science/Analysis Research Librarian. The position posting can be found here: https://apply.interfolio.com/70857. We'll begin looking at applications starting January 13th, 2020. If there are any questions, please do not hesitate to reach out to me at any time at: email@example.com. Happy New Year, Nhora Data Science/Analysis Research Librarian: https://apply.interfolio.com/70857 Hamilton College: Hamilton College Non-Faculty Description Hamilton College invites applications for the position of Data Science/Analysis Research Librarian in the Library and Information Technology Services (LITS). This role will focus on assisting a diverse audience of social science faculty and students with collection or creation, processing, and analysis of data. The Data Science/Analysis Research Librarian will refer or work with others in LITS and with LITS partners to support visualization, preservation, access, and reuse of data with the purpose of informing social science research and helping undergraduate students understand important social science concepts. In addition, the Data Science/Analysis Research Librarian will provide research support and introduce cutting-edge data analysis tools and methodologies to LITS patrons as a member of the Research and Instructional Design (R&ID) Team where research and technology experts work together to support faculty and students with research and teaching. The R&ID Team provides an inclusive, respectful, and responsive service point, works collaboratively to meet exciting research challenges, supports learning communities, and introduces and facilitates the use of innovative technologies through consultation and instruction. We are seeking a creative and analytical individual who enjoys variety in their work, thrives on working with others to solve challenging data-related problems, and is committed to lifelong teaching and learning of data analysis and technical skills. The position will serve as library liaison to one or more academic departments, based on data analysis needs and the individuals educational background. Responsibilities: Data Science/Data Analysis: * Uses advanced skills with data analysis, data cleaning/wrangling/normalization, regular expressions, web scraping, and APIs to support and collaborate with researchers on data-related research. * Retrieve/manipulate complex data from a variety of sources; transfer data between platforms for use in multiple computing environments. * Work closely with and provide direct assistance to students in data science/analysis including workshops or other instruction. * Assists with in-class instruction of statistic-based labs in the social sciences. * Assist students with research projects and course assignments that require data analysis. * Works collaboratively with others in LITS and with LITS partners such as the Quantitative & Symbolic Reasoning Center (QSR), Oral Communication Center (OCC), and the Writing Center. * Assist in the choice, application, and interpretation of quantitative research methods, and with the use of statistical software needed to implement these methods. * Works consistently to enhance technical skills and develop proficiency with new data analysis tools and techniques. * Develops services in response to needs of faculty and students in the social sciences, LITS priorities, and diverse Hamilton populations. * Build effective working relationships with faculty and students. * Identifies, evaluates and recommends new and emerging data analysis research tools and methods for social science students and faculty, and LITS. Research, Teaching, and Learning Support: * Provide research support to the Hamilton faculty and students in the social sciences, members of the public, and the larger scholarly community. * Collaborate with faculty, educational technologists, and other academic partners to provide instructional design support and promote digital and information literacy in the social sciences and across the curriculum. * Serve as primary liaison to assigned academic departments, programs, and academic resource centers. * Participate in the ongoing training and mentoring of the R&ID student tutors. * Build collections in multiple formats to support the academic goals of the college. * Maintain and apply a current awareness of best practices in teaching and learning, especially as related to data analysis and digital and information fluencies. * Develop and maintain library resource guides for faculty and students. * Engage in a variety of professional development activities. * Participate in other duties and responsibilities as assigned. Job-related qualifications representing the knowledge, skills, and attributes an individual needs to possess in order to perform the job in a satisfactory manner. * Demonstrated ability and experience functioning successfully in a fast-paced environment with a strong service orientation. * Ability to work collegially and communicate effectively with colleagues, faculty, and students. * In-depth knowledge of a wide range of information sources and technologies, especially data science/analysis. * Superior teaching skills. * Curiosity about how technology is affecting research and teaching, and enthusiasm for collaboration with faculty and students in a liberal arts context. * Excellent writing, problem-solving, and presentation skills. * Demonstrated aptitude for quickly learning new tools and technologies. Qualifications * ALA-accredited master's degree in Library or Information Science, and/or related advanced degree in quantitative social science; extensive coursework in economics and econometrics. * Equivalent combination of education, training, and experience will be considered. * Experience conducting social science research at the graduate level. * Experience providing data-related services in a library or research setting, either one-on-one or in a classroom setting. * Intermediate to expert experience with R and STATA; experience with SPSS and SAS highly desirable. * Proficiency with at least one programming language (such as Python or Java) highly desirable. * Demonstrated advanced data skills, including data cleaning/wrangling/normalization, using regular expressions, and web scraping. * Knowledge of software and tools supporting the discovery, management, analysis, and visualization of research data; including keeping abreast of current and emerging trends. * Proficiency using tools and programming libraries to support text analysis. * Experience working effectively with a team to plan and complete projects. * Demonstrated ability to work with diverse populations as well as demonstrated commitment to diversity, inclusion, and accessibility. Application Instructions Please submit cover letter, resume and contact information for three professional references. Please address your cover letter to Dr. Nhora Serrano, Associate Director for Digital Learning and Research. In your cover letter, please describe your experiences with diversity and inclusion and your potential to support Hamilton's commitment to the same. Consideration of candidates will begin January 13, 2020 and continue until the position is filled. LITS is committed to creating an accessible, supportive environment and an educational experience that recognizes diversity and cultural competence as integral components of academic excellence. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths in this area. Hamilton College (www.hamilton.edu) is a residential liberal arts college located in the Mohawk Valley of upstate New York. Applicants with dual-career considerations can find other Hamilton and nearby academic job listings at www.upstatenyherc.org, as well as additional information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or- new-faculty/opportunities-for-spouses-or-partners (Opportunities for Spouses or Partners). Hamilton College is an affirmative action, equal opportunity employer and is committed to diversity in all areas of the campus community. Hamilton provides domestic partner benefits. Candidates from underrepresented groups in higher education are especially encouraged to apply. -------------------------------------------------------------------------- Date: 2019-12-28 13:21:28+00:00 From: Walden, Katherine Subject: Data Scientist at Grinnell College (Iowa) Hi all, Grinnell College's Data Analysis and Social Inquiry Lab (DASIL) is looking to hire a Data Scientist. Applications due February 14, 2020. Link to full job posting: (https://jobs.grinnell.edu/postings/2563) Position Description: Grinnell College's Data Analysis and Social Inquiry Lab (DASIL) helps students, faculty, and staff members integrate data-driven methodology and technology inside and outside of the classroom. DASIL exists as an academic resource at the intersection of social inquiry and data science. DASIL currently supports a variety of data-driven software packages and programming languages including ArcGIS, Bloomberg, Excel, Minitab, NVivo, Python, Qualtrics, R, SPSS, Stata, and Tableau. We play an integral role in supporting members of Grinnell College to tackle data in a variety of ways, including: -- Providing experiential learning for student employees through peer mentoring and project-based work -- Training students, faculty, and staff members to use data-driven software packages and programming languages -- Preparing datasets for use in classroom exercises and other pedagogical activities -- Collecting, analyzing, and visualizing data for faculty- and staff-led research Duties & Responsibilities: This position provides data-driven support for students, faculty, and staff members. They may provide support in the following ways: -- Consulting with members of Grinnell College about appropriate use of data collection, analysis, and visualization -- Designing classroom exercises and prepare accompanying datasets -- Developing systems of data acquisition and visualization -- Managing projects at the intersection of social inquiry and data science in collaboration with faculty and staff The Data Scientist position requires technical expertise necessary to carry out data-driven projects. The activities of data-driven projects will vary but may involve: -- Automating the collection of data from open-source databases -- Creating interactive dashboards to gather insight and motivate inquiry -- Performing advanced analysis on data varying in structure (i.e., hierarchical groups, longitudinal studies) Minimum Requirements: A background in statistics, some coursework in the Social Sciences, appropriate programming skills, a willingness to expand skills as needed, and a Masters degree or higher in a relevant field are required. The successful applicant will have good communication skills with experience or interest in mentoring undergraduate students from diverse backgrounds and departments. Proficiency in Geographic Information Systems is desirable, but not required. Applicable Skills -- ArcGIS -- Stata -- Minitab -- Excel -- Computer programming (Python experience preferred) -- NVivo -- R and RStudio (Advanced knowledge demonstrated through work and research preferred) -- SPSS -- Qualtrics -- Tableau This is a position that involves significant collaboration with academic librarians, technologists, and faculty/staff/students from a range of campus units. The person in this role will have a range of opportunities to work on data-driven teaching and research projects, in addition to supporting an interdisciplinary peer mentor programall in the context of a small liberal arts college environment. I'm happy to answer questions about the position. -Katherine Walden, PhD 641-269-3175 | firstname.lastname@example.org Digital Liberal Arts Specialist | Center for Teaching, Learning, and Assessment Grinnell College | Grinnell, IA 50112 -------------------------------------------------------------------------- Date: 2019-12-28 13:20:10+00:00 From: Christian Goursaud Subject: Research Fellow (digital musicology), Royal Birmingham Conservatoire (0.6FTE) A digital musicologist is required to join the research team working on the AHRC-funded "Interpreting the Mensural Notation of Music: An Expert System Based on the Theory of Johannes Tinctoris" project at the Royal Birmingham Conservatoire. We are looking for someone with a solid background in coding and familiarity with MEI. It would be desirable, but not essential, for the successful candidate to be acquainted with pre-1600 (or better still, pre-1500) music, and also machine learning. The appointment is at the level of Research Fellow (equivalent to Lecturer in the UK, Assistant Professor in North America) at 0.6 FTE (3 days a week) until the end of the project on 30 September 2021. The deadline for applications is 17 January 2020. It would not be necessary for the postholder to relocate to Birmingham, since the duties could easily be carried out remotely. International applications are therefore warmly invited. For further particulars, and to apply online, please see: (https://jobs.bcu.ac.uk/Vacancy.aspx?ref=122019-553). Best, Christian -- Dr Christian Goursaud Research Fellow Royal Birmingham Conservatoire 200 Jennens Road Birmingham B4 7XR United Kingdom _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: email@example.com List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
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