If you would like to add a job to this list, please email recruiting @ cs.unc.edu with the specifics about the position and let us know that you are interested in advertising the position to recent graduates or alumni. We will update the page as new positions are sent to us.

CompoZed Accelerator Agile Software Developer


Location Charlotte, North Carolina

Post Date: January 10


Think that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.

The Accelerator program is a twelve week, in-person, intensive program of full-stack developer training. This PAID training begins with four weeks of learning about the modern web using Javascript and the beginning of Agile/Extreme Programming.  The program finishes with eight weeks of new content and product work..

Basic Qualifications

  • Knowledge of Java, Ruby, Python and/or Go programming languages
  • Experience in test-driven development and pair programming a plus
  • Experience in web front-end development a plus
  • Experience deploying to cloud environments a plus
  • Strong communication skills
  • Interest in pair-programming
  • Passion for growing your skills, tackling interesting work and solving challenging problems
  • Desire to create well-crafted software
  • Enthusiasm for community, learning, and collaboration
  • Excitement about open source software

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy.

For more information and to apply, visit http://allstate.jobs/ShowJob/Id/1056683/Compozed-Accelerator-Agile-Software-Developer.

Data Scientist/Research Analyst

University of Pennsylvania Perelman School of Medicine

Location: Philadelphia, Pennsylvania

Post Date: January 17


This position will be responsible for developing state-of-the-art algorithms and tools for the Penn Social Media Lab. Specifically, programming will range across a subset of text-mining, machine learning, natural language processing, and data visualizations. The Social Media Lab conducts research at the intersection of public health and social media and uses rigorous scientific approaches to study Facebook, Twitter, Yelp, Google Trends, and other platforms to better understand the power of emerging technologies and communication channels in health. This project will specifically focus on Twitter analysis so experience with this API is a requirement. This position will work under the direction of the project leaders.


Education and experience equivalent to a Bachelor’s degree in Computer Science or similar technical field and at least 1 year of applicable experience including experience with Twitter API is required. Proven programming experience: Python, Java, C++, or very well skilled in Javascript, PHP, or jQuery preferred. Preferred experience in: Hadoop/MapReduce, advanced natural language processing, and machine learning, but not required. Candidates with experience in research data analysis and who possess strong statistical and programming skills are preferred. Experience with Twitter is required. Strong understanding of scientific method required. Strong writing skills required with experience in translating data analysis to text for peer-reviewed publications preferred. Ability to contribute to the generation of new research questions preferred. Able to work independently with little supervision with high quality output. Able to meet deadlines in a fast-paced environment. Able to supervise novice or student programmers.

For more information and to apply, visit https://jobs.hr.upenn.edu/postings/17463.