Data Scientist

Epidemico is an informatics company established in 2007 that combines innovative data acquisition and analysis technologies with public health expertise. Epidemico delivers sophisticated surveillance systems and consumer-centric engagement tools. We provide early insights, continuous monitoring and consumer engagement for a wide range of population health domains, including disease outbreaks, drug safety, supply chain vulnerabilities, and more.

We seek a Data Scientist for our Boston-based public health informatics company. You would join a dynamic team of scientists, developers, and epidemiologists tackling global challenges across a wide range of health topics, including infectious disease, healthcare, disease ecology, drug safety, and supply chain analysis. The Data Scientist will also contribute to products and research projects involving novel data sources for monitoring global health.

Applicants must have experience with distributed data processing and analysis using tools such as Apache Spark (preferred) or Hadoop MapReduce. They should also be comfortable with Python, R, or Scala, as well as machine learning and natural language processing. An ideal candidate should have knowledge of statistics and some domain experience from a related field such as epidemiology, geography, ecology, medicine, or digital humanities. We seek familiarity with databases, software architecture, web development, and open source collaboration. This position will focus on data engineering for our data science team--developing our distributed data processing stack. We are a diverse, multi-national, multi-ethnic, gender-balanced, and family-friendly organization. Candidates from historically underrepresented backgrounds are strongly encouraged to apply. We will also consider junior candidates and recent graduates who don’t yet have all listed skills, but who are self-motivated with the ability to learn on the job. This may be a customer-facing position; ability to work with enterprise clients and strong written and verbal communication are important.

- Required: Experience with distributed data processing (Spark, MapReduce) - Two years experience in applied data science or data science-related degree - A portfolio of past work or personal projects - Programming skills e.g. Python, Scala, R, Javascript - Natural language processing, machine learning, and statistics - Familiarity with cloud computing (AWS) - Database experience (PostgreSQL, Cassandra, MongoDB) - Experience with social programming tools (GitHub) - Strong written and verbal communication **BONUS** - Experience working with health data compliance standards such as HIPAA - Software or web development experience - Research or work experience in the life sciences (biology, health, bioinformatics)