Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 days ago

Professor of Practice in Data

Tulane125 open roles

Where
New Orleans, LA, United States
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProfessor of Practice in DataTulane · New Orleans, LA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Tulane's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Tulane postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 2 days ago

Tulane median: 7 days open

The posting

Job Description

The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks a Professor of Practice in Data to teach introductory and multi-disciplinary courses in data literacy, data visualization, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the broader community through courses, workshops, events, student internship, seed grants, statistical consulting, and supporting interdisciplinary research groups.

This is a full-time, non-tenure-track position eligible for promotion to Senior Professor of Practice. The initial appointment is renewed every three years and later up to five or seven years. Renewal is based on an evaluation of teaching, service, and research. Professors of Practice are eligible to be considered for promotion to Senior Professor of Practice after at least three years. For more information on CAIDS, visit datainstitute.tulane.edu.

Required Application Materials

Interested candidates should submit the following materials:

  • Cover Letter
  • Curriculum Vitae (CV)
  • Teaching statement/philosophy (upload to the Miscellaneous Documment section)

The cover letter and/or teaching statement should address the candidate’s interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management to a diverse student body, especially students with minimal background in data, statistics, or computer science. Additional documents may be requested at a later date.

Responsibilities

Teaching

  • This position has a 2/2 teaching load (two courses per semester) to accommodate service work. The Professor of Practice will be expected to teach:DATA 1010: Introduction to Data, a course that introduces students to fundamental skills in data literacy, analysis, communication, and ethics. DATA 2030: Data Visualization, a course surveying creative and analytical theories and techniques for understanding and developing data visualizations, including graphs, charts, maps and interactive tools such as dashboards. At least one multi-disciplinary undergraduate course in their area of interest or expertise. We are particularly interested in candidates who can add new courses to our existing curriculum including, but not limited to, analysis of image, audio, and other non-standard data types; survey and polling design and analysis; biostatistics, bioinformatics, or analysis of clinical trial/experimental data, and courses that could fit into the AI Literacy Minor. All CAIDS courses draw from multi-disciplinary perspectives and are open to students of all backgrounds and abilities, usually without a prerequisite.

Service

  • In addition to teaching, the Professor of Practice will develop and facilitate CAIDS programs and services that increase faculty and student participation in data-related research while upholding CAIDS’s mission of being inclusive to all data fields. Based on the candidate’s expertise, possible service roles may include:developing and coordinating internal and external internship and research-assistant programs; facilitating collaborative grant applications; providing statistical, data, or applied-AI consulting services; coordinating research-related programming such as seminars, workshops, data-thons, and poster sessions; and supporting interdisciplinary research groups in the Professor of Practice’s areas of expertise or interest.
  • This position will also support data visualization co-curricular activities. Responsibilities include working closely with librarians at Howard-Tilton Memorial Library to plan the Love Data Week Data Visualization and Physicalization competitions and exhibits, promoting and coordinating student participation in
  • Tulane poster sessions, developing and facilitating occasional data visualization workshops, and undertaking related service activities. The Professor of Practice will contribute to shaping CAIDS’s priorities and future direction, serving as an active partner in managing the institute’s programs and initiatives.

Research

Conducting research is not a requirement, but data-related research or scholarship on data science teaching and learning can be incorporated into the workload.

Qualifications

Required Education and Experience

  • A Ph.D. in a data-related field* and teaching experience as an instructor or teaching experience in a data-focused course; OR
  • A Master’s degree in a data-related field,* with at least five (5) years of combined experience teaching in post-secondary or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.*Data-related fields include, but are not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration), humanities with a data focus, public health, education with a data focus, and numerous STEM fields such as Engineering, Computer Science, Natural Sciences, etc. Applicants with a background in qualitative research methodology will also be considered if they are able to teach basic quantitative methods in addition to qualitative methods.

Required Knowledge, Skills, Abilities/Competencies Typically Needed to Perform this Job Successfully

  • Demonstrated ability to teach in post-secondary institutions, particularly to students with minimal background in data, statistics, or computer science.
  • Ability to initiate and manage programming and initiatives with minimal supervision.
  • Ability to teach Introduction to Data and Data Visualization.
  • Ability to develop practical and creative post-secondary education programming and services that promote faculty and student engagement in data-related research.
  • Experience developing data visualizations, including graphs, charts, and interactive tools such as dashboards, using applications such as Excel, PowerBI, Flourish, Tableau, or R.
  • Commitment to continuous improvement in pedagogy and data science.
  • Demonstrated commitment to engaging diverse populations in data literacy.
  • Demonstrated ability to interact well with diverse groups of people, including students from varied backgrounds, university leadership, staff, and faculty from different disciplines.
  • Excellent written and oral communication skills.

Preferred Qualifications

  • Experience teaching data-focused post-secondary course(s) as the instructor of record.
  • Training or education in teaching or pedagogy.
  • Experience developing or managing post-secondary programming such as workshops, internships, events, and research services.
  • Ability to provide data, statistical, computer science, or applied AI consulting services to faculty.
  • Ability to develop industry or community relationships that lead to service-learning opportunities, student internships, community partnerships, or external grant proposals.
  • Ability to engage with students in data storytelling methods through data visualization.
  • Willingness to cover and engage with data visualization theories and methods using both scientific and creative techniques.
  • Ability and desire to learn and teach multiple data visualization theories or methodologies across multiple fields including arts, humanities, social sciences, liberal arts, public health, and STEM.

About Us

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at [email protected].

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Tulane's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Tulane's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Tulane's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.