Aws Remote-emplois à remote-massachusetts-usa ∙ Page 1

Work Schedule

Environmental Conditions

Job Description

Data Scientist

Responsibilities and Duties:

• Develops, implements, and maintains data interfaces, including query tools, data collection systems, data analytics, data modeling tools, and other strategies that optimize data usage, statistical efficiency, and quality.

• Investigates and contributes towards the development of innovative technologies to support all aspects of data digitization, process integration and data ingestion processes.

• Prepares and provides cross functional support for analyzing large data sets, identifying trends and implementing  process improvements.

• Performs data analysis to support business needs and drive decision-making

• Develops and executes test plans to validate the functionality of automated solutions.

• Independently manages and resolves technical problems.

• Monitors and provides data system and application support  and troubleshoots issues as they arise.

• Provides day-to-day digital and application support for automated systems and integrative digital processes in varying levels of complexity. Provides project support to colleagues and cross functional teams where necessary. 

• Evaluates and optimizes processes for efficiency, practicality and reliability, with a focus on automation and associated software applications.

• Develops and maintains detailed documentation for automated processes.

• Communicates with management regarding all activities within their projects.

Qualifications:

Education and experience

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, Chemistry, Biochemistry, Biology, Molecular Biology or related field. Master's degree preferred.

• Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years’)

• Proven ability in data engineering, data science, data analysis, or other data related fields.

• Experience data transcription - Google OCR 

• Power apps- Microsoft platform  

• Experience in analytical development- CMC 

Knowledge, skills and abilities

• Ability to effectively apply knowledge and skills in a highly organized fashion while adhering to regulatory guidelines, SOPs and client expectations

• Strong attention to detail with proficient organization and multi-tasking skills

• Excellent analytical /problem-solving skills /judgment in decision making

• Ability to maintain a high degree of confidentiality with clinical data and client's proprietary data

• Sound interpersonal skills with proven flexibility and adaptability to changing situations

• Strong oral and written communication skills (English)

• Strong computer skills, with strong knowledge of MS Office (Word, Excel, PowerPoint) and the ability to learn and use interactive computer systems

• Time management and project management skills

• Understanding of GMP rules, data integrity, and system validation.

• Willingness to perform other laboratory duties as assigned to ensure the smooth running of the laboratories.

• Basic entry knowledge and familiarization  with regulatory filing documentation  (source documents, reports, data)  and  BLA  structure and section information for DS and DP.

Technical Skills

• Proficiency with data extraction, analysis, reporting, and visualization tools.

• Deep understanding of system and data architecture, design, data warehousing, data modeling and integrations.

• Experience with data integration tools (e.g., Informatica, Databricks) and understanding of API management. Proficiency with databases (SQL), programming (Python, PySpark), and reporting packages (Business Objects, Power BI).

• Experience with ERP and CRM systems (SAP, Salesforce). Additional technical skills: Python, data warehousing (e.g., Databricks, Redshift), and cloud platforms (AWS, Azure, Fabric). Knowledge in R is a plus.

• Analytical and Problem-Solving Skills

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

• Strong analytical skills to evaluate and optimize processes for efficiency and reliability, with a focus on automation and associated software applications.

• Project management expertise and problem-solving abilities.

• Ability to deal with ambiguity and challenging objectives in a fast-paced environment

• Communication and Collaboration