Overview
Remote
Full Time
Skills
Interfaces
Data Collection
Process Integration
Process Improvement
Test Plans
Application Support
Project Coordination
Computer Science
Information Technology
Information Systems
Chemistry
Biochemistry
Biology
Molecular Biology
Data Engineering
Data Science
Data Analysis
Transcription
Optical Character Recognition
Microsoft
Crystal Management Console
Organized
Multitasking
Decision-making
Adaptability
English
Microsoft Excel
Microsoft PowerPoint
Management
GMP
Data Integrity
Filing
Documentation
DS
DirectShow
Data Processing
Data Extraction
Visualization
Data Architecture
Data Modeling
Data Integration
Informatica
API Management
Database
SQL
PySpark
Reporting
Business Objects
Microsoft Power BI
Enterprise Resource Planning
Customer Relationship Management (CRM)
SAP
Salesforce.com
Python
Data Warehouse
Databricks
Amazon Redshift
Cloud Computing
Amazon Web Services
Microsoft Azure
R
Attention To Detail
Analytical Skill
FOCUS
Project Management
Conflict Resolution
Problem Solving
Communication
Collaboration
Job Details
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Data Scientist
Responsibilities and Duties:
Education and experience
Standard (Mon-Fri)
Environmental Conditions
Office
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.
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
- 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.
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.