Data Intelligence and Analytics Engineer, Cell Therapy

Key Skills

Agile methodologies, Analytical and Problem solving, AWS, Big Data Technology, Data Analytics, Data science techniques, Data Visualization, Design, DevOps, Github, IT, Machine learning techniques, MLOps tools, Python Programming, R Programming, SQL, SQL Server

Job Description

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Position Summary:

The primary focus of the Data Intelligence and Analytics Engineer will be to define, develop, deliver and support analytics systems to ensure they meet the business’ needs and requirements across the Devens manufacturing plant and Cell Therapy network.

The role requires a creative developer that can think outside of the box and enjoys challenging projects. The role will perform ongoing support, design, development, and delivery activities related to data services, data analytics, and the application of advanced tools. This role is passionate about the intersection of data and life sciences and should apply process engineering, data engineering, analytics, and software development skills to solve problems in this domain. 

Desired Candidate Characteristics:

The candidate should have at least 2 years of experience in pharma/biotech with specific expertise in Good Manufacturing Practices (GMPs), Manufacturing and Quality System disciplines, experience in turning raw data into information and insight, which can be used to make business decisions, and process automation. 

This role requires self-motivated drive for success, enthusiasm, exceptional collaboration and communication skills, and current technical skills in the areas of responsibility outlined below. 

Knowledge and Skill:

• 2+ years’ experience leveraging data to drive business decision making, preferably related to Manufacturing and Quality Systems. 
• Demonstrates mastery in data & analytics skillsets such as data 
• provisioning, data products, data mining, data visualization, machine learning, code development, 
• Github
• , cloud computing platforms like AWS, or equivalent. 
• Must have experience with using automated tools to extract data from primary and secondary sources. 
• Proficiency with current Python, R, Data Analytics and Visualization tools highly desired.
• Experience with SQL, and Microsoft SQL server database administration desired.
• Knowledge of data warehousing concepts and 
• Big
•  data.
• Knowledge of software engineering practices: Dev Ops, Source Control, Agile Methodology, ML Ops, Front-end or full-stack web development a plus. 
• Lead initiatives related to continuous improvement or implementation of 
• new technologies
• . 
• Ability to work independently with minimal supervision and 
• provide
•  escalation when 
• required
• .

Roles and Responsibilities:

• Work as integral member of cross-functional team to gather and document requirements working with Site IT & business to meet their needs and drive analytic insight.
• Design and 
• maintain
•  analytics applications and tools with the goal of monitoring, analyzing, gaining insight, and predicting based on Cell Therapy Manufacturing data sets. 
• U
• nderstand Cell Therapy Manufacturing data
• ,
•  context
•  to be the SME
•  for analytic
• al usage

• .
• Generate documentation including data dictionaries and pipeline documents. 
• Building and 
• maintaining
•  data warehouse data integrations 
• leveraging
•  MS SQL Integration services and Python data engineering & science modules. 
• Develop and Optimize SQL Queries 
• leveraged
•  by existing integration services, reporting processes and data analysis reports. 
• Develop dashboards and visualizations for ongoing measurement and KPIs.
• Implement Database Schema designs and data pipelines.
• Develop and 
• maintain
•  current reports in existing reporting platforms.
• Profile source system data as needed to 
• provide
•  feedback for business requirements.

Education: Bachelor’s degree in Computer Science, Engineering, or related Data Science and Engineering disciplines preferred.

Working Conditions:

Office environment, seated majority of time. Must be able to move equipment (up to 25lbs). 

This job description is intended to describe the general nature and level of work being performed by the person assigned to this position. The primary duties and responsibilities are intended to describe those functions that are essential to the performance of this job. 

This job description does not state or imply that the above are the only duties and responsibilities assigned to this position. There are other duties and responsibilities that are considered incidental or secondary to the overall purpose of this job. Employees holding this position will be required to perform any other job-related duties as requested by management. 

LI-Hybrid

The starting compensation for this job is a range from $75,000 - $95,000, plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our Working With Us (bms.com).