Good Analytics (http://goodanalytics.io) is looking for talented and highly motivated software engineers to join our team. Our founders (John Ayers www.johnwayers.com | Mark Dredze www.dredze.com) are well-known academics who seek to apply the latest in computational methods to solve real world public health problems. This includes novel research and producing academic publications based on analyses produced in our projects.
We build scalable software systems for processing web data sources to provide key insights to public health professionals. Our projects are wide ranging and require a variety of skills. Software engineers are responsible for applying data science techniques to solve problems within the domain of public health. You’ll do everything, from training machine learning models, to data analysis, to writing scalable production software.
Good Analytics is a remote company, operating through Slack and Hangouts. You will work with our founders to address customer needs for analytics for a variety of public health problems. We have transformed media monitoring by developing strategies to discover, describe, and deliver actionable news trends to numerous organizations. For example, our founders first reported on how Charlie Sheen’s HIV status disclosure impacted public help seeking and testing regarding HIV and HIV risk behaviors. Reporting on this finding led to a second bump in HIV testing eclipsing the impact of traditional awareness days.
We will consider both short and long term engagements.
To apply, send your resume to email@example.com.
Good Analytics creates actionable intelligence from big media data, making public health advocacy more data driven and thereby more responsive to populations.
Good Analytics is committed to fostering and supporting a creative and diverse environment. Good Analytics is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.