Tag Archives: data

MiddLab Data Workshops – Summer 2022 Series

We are happy to announce the summer 2022 series of our MiddLab Data Workshops! Our workshops are discipline-inclusive and are open to students, faculty, and staff across the institution, from the sciences to the humanities and beyond.

  • Organizing and Managing Research Data
  • Resource and Citation Management with Zotero
  • Designing Better Data Visualizations
  • Introduction to R and R Studio
  • Data Wrangling in R with dplyr and tidyr
  • Creating High Quality Graphics in R with ggplot2
  • Introduction to Text Mining in R
  • Introduction to Geospatial Data in R
  • The Terminal and the Command Line (parts I & II)
  • Python (parts I & II)
  • Linux at Middlebury
  • High-Performance Computing and Slurm at Middlebury

To learn more about the individual workshops and to register, please visit:

Because of space constraints and geographic inclusion, we will be holding this year’s workshops virtually via Zoom. Zotero workshops will have a limited number of in-person seats.


Learn about Data Visualization on Friday, March 6!

Kelsey E. Hoekstra ’17 (Mathematics), a Client Journey Analyst with Vanguard speaks about how to communicate data to non-analytic practitioners. Building cool analytics is only part of the work. If no one understands the data or why it matters, it will not be used. Kelsey will be sharing best practices for visualizing and sharing data with business partners and colleagues.

Date: Friday, March 6

Time: 3:45pm – 4:30pm

Location: Coltrane Lounge

Click here to RSVP!

Check Out This New Amazon Posting on Handshake!

Data Associate at Amazon – Application Deadline is May 29, 2020

The Alexa Data Services (ADS) organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with internal customers like Machine Learning Science modeling teams, providing the critical data they need to improve Alexa’s Automatic Speech Recognition and Natural Language Understanding models and domain features. Come build the future of the voice recognition for Alexa with us.

We are hiring Data Associates in our Medford, MA location for our data team to work on transcriptions for Automatic Speech Recognition, semantic annotation for Natural Language Understanding, and dialogue evaluation for improving overall customer interaction with Alexa.
You will focus on speech and language data, primarily in the areas of transcription, text annotation, and general data analysis to meet the internal customer’s request.

Driven by your passion for data, you show proactive behavior in solving issues with efficiency and accuracy. Your ability to concentrate and your high attention to details help you deliver high-quality work.In this role, you are comfortable with, and understand, the changes to the conventions deployed in response to internal customers’ requests. You demonstrate ability to adjust your workflows accordingly. You prioritize strict compliance with regulatory requirements, and contribute to improvements in the software tools by identifying bugs and suggesting enhancements.
As a Data Associate, you must be capable of:· Maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information· Transcribing and annotating high priority deliverables· Translating established guidelines into daily work practices and processing data in order of priority· Delivering high quality on deadlines· Getting the job done and working autonomously with minimal direction· Contributing to process improvements to reduce handling time and improve outputWhat We Offer:· Attractive and competitive salary· Possibility of career development within the company· Benefits package

BASIC QUALIFICATIONS· High School or equivalent diploma· Native-level proficiency in English, both verbal and written skills· Experience with business software· Capable of working in strict compliance with internal guidelines· Excellent communication and organizational skills, detailed-oriented, highly collaborative· Comfortable working in an ever-changing, highly collaborative and dynamic work environment· Willingness to support several projects at one time and to accept re-prioritization as necessary· Continuous efforts to deliver the high quality data such as self-analysis· Business English skills both verbal and written.

PREFERRED QUALIFICATIONS· Experience working with speech or language data, including experience with annotation and· Other forms of data markup· Practical knowledge of data processing needs and trade-offs

Want to Combine Your Love of Data and Healthcare? Apply to work at Mass General!

GENERAL SUMMARY/ OVERVIEW STATEMENT:   The Harvard Aging Brain Study is seeking a full-time Data Coordinator for a neuroimaging research program at Massachusetts General Hospital. Our group investigates alterations in brain function, structure, and molecular pathology in normal aging and Alzheimer’s disease. This position joins the data processing and informatics team and would take responsibility for day to day database and data management tasks, running and maintenance of ETL pipelines, running of automated quality assurance tasks, and production of bespoke datasets and SQL queries to aid researchers. This role presents a great opportunity for those seeking an entry point into the burgeoning data science field. The Data Coordinator will work with, and report directly to the Data Analytics Manager. 


  1. Managing permissions for database access.
  2. Assembling datasets to allow researchers to answer complex research questions.
  3. Assist in the implementation of automated Quality Assurance routines.
  4. Maintenance and further refinement of lab ETL pipelines.
  5. Aid in the testing of new database and data management systems.
  6. Assist in the Storage, organization, and security of large neuroimaging and genetics datasets.
  7. Develop documentation for informatics system and associated tools.
  8. Assisting with data reporting and monitoring for regulatory oversight.


  1. Very detail-oriented and highly organized.
  2. Familiarity with relational databases such as MySQL, SQL server etc.
  3. Competencies with programming/scripting languages, such as MATLAB, Python, or Java.
  4. Ability to work independently and as part of a team.
  5. Must be highly motivated and well-organized, personable, and have good communication skills.

Bachelor’s degree in Computer Science, Engineering, Physics, Math, or other relevant discipline.

EXPERIENCE:  No work experience is required, though 2+ years of experience including expertise with statistical analysis preferred. Experience through coursework or undergraduate/graduate research projects is applicable.

Learn more and apply on Handshake!

Full Stack, Front End, Back End—What Does it all Mean?

I used to think that you were either a web designer or a web developer. Or maybe you were one of those rare unicorns who did both. But either way, you either worked on the design of the site, or the code that made it work.

And then I started seeing all these job listings asking for “front end developers” or “back end developers” and even “full stack developers.” Um. What the heck is a full stack developer?

As the Web has grown more complex and as more becomes possible on the Internet, developers have gotten more specialized. That means that web development now means a lot of different things depending on what a web developer specializes in. Here are the three main categories:

  • front end development (the visible parts of a website or app)
  • back end development (the “under the hood” databases and infrastructure)
  • full stack development (a hybrid of both). Full stack can apply to a web stack, mobile stack, or a native application stack (i.e. software programs for specific devices)

To understand what each of the web developer specialties (or in the case of full stack web developers, non-specialties) are, we’ve created a guide breaking them all down, along with the skills you need to learn to become a full stack developer—if that’s your thing.

Read on for more insight into what front end, back end, and full stack developers do (and why the lines between them are getting really blurry).

Excerpt taken from Scott Morris’ article. Read the entire article here.