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1

Intern – Machine Learning & Data Science
Job Type: Internship
Location:  Cambridge, MA
Responsibilities
• Data curation and developing machine learning models for therapy decision support
• Evaluating and validating model results on test datasets
• Summarizing and reporting results in the form of a scientific paper and presentation.

Qualifications
• Current Ph.D. or M.S. candidate in Computer Science, Biomedical Engineering, or Statistics
• Proficient in machine/ deep learning
• Experience in working with SQL databases & Apache Spark
• Knowledge of Python programming language.
• Ability to work independently, as well as part of a team
• Good communication & presentation skills

2

Big Data Intern
Job Type: Internship
Location: Allen, Texas
Responsibilities
• Perform analysis and software development for our products associated with our big data analytical platform
• Perform hands-on development and programming to deliver key products on Ascend platform
• Contribute in design discussions and architectural guilds to understand the end-to-end architecture of platform and products designed
• Work closely in AWS environment collaborating with infrastructure and corporate IT teams
• Present in biweekly sprint demos and showcase developed functionality to larger platform engineering group
• Partner with different team members to gain understanding of business requirements and key product/program questions
• Receives general supervision and guidance from more experienced team members
• Follow platform engineering processes, procedures and client requirements; recommend and/or implement improvements/ solutions to identify efficiencies
• Participate in Internship Program activities and events to include: onboarding, product demos , educational activities, information sessions, and social events
• Collaborate with Engineering Managers, Scrum Masters and SME’s to develop critical platform components in an Agile environment

Qualifications
• Understanding of technology, passion, curiosity to solve business problems leveraging technology
• Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Hands-on programming experience with Hadoop, HDFS, Python, PySpark, Apache, R, SQL, Hive etc.
• Strong understanding of databases, DB2, MySQL, SQL etc.
• Strong understanding of AWS concepts and knowledge and cloud fundamentals is critical
• Strong project management and organizational skills
• Strong understanding of ETL, data transfer protocols, web solutions, middleware and integrations, API’s etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Strong written and verbal communications skills
• Strong attention to detail; high degree of quality orientation
• Ability to take direction from multiple people; ability to flex to the work styles of others
• Ability to be a collaborative team player in a fast paced/changing environment; self-motivated and directed
• Strong technical aptitude
• Proficiency in Microsoft Office software applications, such as Word, Excel, Access, Project and PowerPoint
• Understanding of data analytics domain and financial services industry is a plus

3

Data Scientist
Job Type: Full-time
Location:  DULUTH, CHICAGO, OR LOUISVILLE
Responsibilities
• Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
• Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
• Translates real-world Healthcare problems to mathematical frameworks
• Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
• Understands, organizes, and communicates root causes of problems and successes succinctly

Qualifications
• Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
• Complete familiarity with empirical approaches to estimate performance of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing
• Understanding of orders of algorithms and how they scale
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• Ability to code in 1+ general purpose programming language (C#, Java, etc.)
• Must be a quick-learner with the ability to multi-task in a fast-paced environment
• Outstanding presentation abilities and the ability to communicate with all levels of the Business
• Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
• Outstanding communication and interpersonal skills
• Must possess strong analytical, problem-solving, and writing skills
• Proficient in Microsoft Office applications
• Detail-oriented
• Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
• An aptitude for medical informatics is preferred

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