Data Analytics Platform Lead

Domain: HealthTech
Career Path: AgileData, Connect
Type: Full Time preferred

Seniority: Director
Location: Greater Boston

Skills

Seasoned data scientist with experience in large-scale healthcare data analysis and industry models/standards

Advanced knowledge of a subset of analytical approaches (ex. machine learning, statistical analysis, predictive modeling, visual analytics)

Experience in observational healthcare data analysis

Advanced hands-on knowledge of R and/or Python

Working knowledge of SQL and relational databases

Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred

Experience with Hadoop platforms (Cloudera a plus) and related “big data” technologies is preferred

Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred

Education

Bachelor’s degree in Life Sciences or Computer Science or equivalent

Experience

10+ years’ experience working in pharmaceutical / biotechnology / healthcare / health IT industry, and 5 + delivering end-to-end data analysis projects

Description

We are excited to be expanding our Life Science Data Analytics Platform group in our Boston and Cambridge offices. We are looking for a Data Analytics Platform Lead to join our Life Science Data Analytics Platform Group.

At Arrayo we make sure that data assets are available and accessible for advanced analytics, and so that the inherent value of data assets can be realized more readily. Arrayo assists top tier clients in life sciences in establishing effective Data Analytics strategies.

The Director of Data and Analytics will be responsible for driving the socialization and utilization of technologies, algorithms, models, and methods for science driven data analytics R&D projects. As an Arrayo Team member, you will work to understand users’ requirements, and drive the definition, design, implementation and validation of cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.

Essential Duties & Responsibilities

Drive the implementation and other operations of R&D use cases utilizing scientific data for actionable insights.

Manage the definition, design, implementation, and validation of algorithms to analyze data from diverse sources to achieve targeted outcomes

Lead the integration of clinical trial, electronic health record, insurance claims, disease, and patient data

Prioritize and oversee portfolio of projects. Deliver on data-driven research projects. Manage team efforts with hands-on approach

Collaboratively translate scientific and business questions into data and analytics requirements

Drive rapid prototyping for further implementation of analytical products

Partner with SME to translate modeling outputs into business language

Work with domain experts to verify and drive models

Mentor stakeholders on data science tools and techniques

Work with IT resources to enable appropriate data flow/data model

Data Analytics Platform Lead

Submit CV now.

Arrayo is an Equal Employment Opportunity employer and as such does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.