Tag Archives: data

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. 

PRINCIPAL DUTIES AND RESPONSIBILITIES: 

  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.

SKILLS/ABILITIES/COMPETENCIES REQUIRED:  

  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.

EDUCATION: 
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.

Top 5 Regional Hotspots for Tech Hiring in 2019

An in-depth look at the top 5 regional hotspots for tech hiring in 2019, including Boston, Charlotte and Denver.

When you think of tech talent hotspots, New York City, San Francisco, and Silicon Valley are likely the first to come to mind. But Silicon Valley’s job market continues a volatile trajectory as today’s tech job seekers, many of whom are millennials, opt for more affordable and inclusive tech hubs to call home.

With the rising costs of rent for not just talent but businesses as well, employers have come to understand how much they have to gain by expanding to lesser-known regions and creating new tech hiring hotspots. Benefits include access to more talent, less hiring competition from fellow employers, lower cost of living which often means lower salary ranges, and more. As a result, tech is moving away from being centrally located in major metro areas and instead reaping these benefits, which only smaller regional cities can offer. Here’s a look at the regional hotspots for tech hiring that will continue to attract more and more of the best tech job seekers in 2019.

Excerpt taken from Stephen Zafarino’s article. Read the entire article here.

Top 5 Regional Hotspots for Tech Hiring in 2019 :

  • Denver
  • Atlanta
  • Boston
  • Charlotte
  • Philadelphia

Top 25 Hotspots for Data Science Jobs: New York, Silicon Valley…and Trenton?

This article from Burning Glass Technologies. Read the full article here.

The top 25 cities for data science jobs show how widespread the demand for data skills has become, branching out from major tech hubs into cities around the country.

In fact, the highest concentration of big data job openings to the employed population isn’t in Silicon Valley but in Trenton, N.J.

Metro Area Job Postings Job Postings per 10,000 people employed, last 12 months
Trenton, NJ 4544 193
California-Lexington Park, MD 769 179
San Jose-Sunnyvale-Santa Clara, CA 17978 175
Washington-Arlington-Alexandria, DC-VA-MD-WV 51958 173
San Francisco-Oakland-Hayward, CA 33974 152
Charlotte-Concord-Gastonia, NC-SC 15333 142
Des Moines-West Des Moines, IA 4845 140
Lansing-East Lansing, MI 2763 137
Bridgeport-Stamford-Norwalk, CT (Metropolitan NECTA) 5458 126
Boston-Cambridge-Nashua, MA-NH (Metropolitan NECTA) 29783 121
Carson City, NV 330 118
Tallahassee, FL 1759 108
Raleigh, NC 5927 105
Huntsville, AL 2113 102
Atlanta-Sandy Springs-Roswell, GA 24033 100
Denver-Aurora-Lakewood, CO 13663 100
Corvallis, OR 356 99
Seattle-Tacoma-Bellevue, WA 18109 99
New York-Newark-Jersey City, NY-NJ-PA 87554 99
Hartford-West Hartford-East Hartford, CT (Metropolitan NECTA) 5551 98
Madison, WI 3575 97
Minneapolis-St. Paul-Bloomington, MN-WI 17430 96
Durham-Chapel Hill, NC 2653 94
Austin-Round Rock, TX 8538 93
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 24689 93

News from the Office of Digital Learning

Updates

Things are happening at the Office of Digital Learning! To keep abreast of what the ODL is up to, we invite you to read the weekly series on our blog called This Week in ODL where you can access updates on the projects, news, and developments underway at our office. We invite you to click here for a complete listing of our weekly updates. And don’t forget to check our frequently-updated Projects page, where you can find information about our many projects.

Blog

The ODL has an active blog with regular readers from both within and beyond Middlebury. We hope to count you among them! To receive blog updates in your inbox, subscribe to our blog by scrolling to the bottom of our website and adding your email address to the subscribers list. While you’re there, we hope you’ll take a minute to check out our latest blog posts:

Demystifying Data Science – FREE Virtual Conference on 9/27

The Economist calls data the new oil… As in, the world’s newest most-valuable resource. We think they might be right.

And it (data) is something that everyone should learn a little about.

The folks at Metis have put together a doozy of a data science conference this week.

And it’s quite the lineup… Speakers include data pros from Facebook, Airbnb, Quora, Accenture Artificial Intelligence, the Philadelphia 76ers, Capital One, Etsy, and more.

Here are just a few of the talks that we’re going to tune in for:

  • The 5 Most Important Things in Data Science
  • Recognizing Cultural Bias in Artificial Intelligence
  • Fixing the Hot Mess: What You’re Doing Wrong to Hire & Get Hired
  • How to Learn Deep Learning When You’re Not a Computer Science Ph.D.

It’s a ton of content, running from 10:00 am – 10:00 pm EDT, so you can catch some or all on a break from classes, or in the evening after the work day.

Again, it’s totally free. It takes place this Wednesday, 9/27.

Register here. And we’ll see you there