Analyst - Data Science at MSD

Education Requirements:

• · Required: Bachelors degree with at least 0-2 years industry experience (experience requirement can be waived off for exceptional candidates
• · Preferred: Advanced degree (MS, PhD) in a quantitative science or health field (e.g., computational biology, epidemiology, biostatistics, statistics, mathematics, physics, economics)

Who you are:

• · You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in some aspects across statistical analysis, machine learning, model management, data engineering, data visualization, and data interpretation
• · You are self-motivated, and have demonstrated abilities to think independently as a data scientist
• · You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
• · Strong Python skills (some specifics of Sagemaker is a plus), and SQL skills are a must. Experience having deployed models to production is a plus.
• · You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
• · You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
• · Ability to spin up quick visualization prototypes in PowerBI, Qliksense, or other similar tools is preferred. Experience with R-Shiny, Bokeh, Django, or JavaScript is a plus.
• · You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
• · You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
• · Experience with real world data (e.g., claims, electronic health records) is a plus
• · Experience within any of the therapeutic areas like oncology is a plus (e.g., NCCN guidelines, SEER data, understand lines of therapy rules, have knowledge about staging and existing therapeutic spaces)

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management

Apply Here - Click Here