Contract Data Scientist (Real-World Data)
COMMONWEALTH SCIENCES INC
Boston, MA, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Big Data
Bioinformatics
Clinical Data Repository
Data Integration
Data Integrity
Python (Programming Language)
MySQL
Information Technology
Database Tools and Utilities
Programming Languages
Job description
- Perform in-depth analysis of real-world datasets, including EHR and large-scale multi-omics data and contribute to clinical data interpretation and study report development
- Collaborate with cross-functional internal teams and external partners to scope analytical approaches, evaluate data integrity, and deliver insights from complex datasets using advanced statistical methodologies
- Develop and implement robust analytical frameworks and workflows to support drug discovery efforts and enable precision medicine initiatives in clinical programs
- Translate analytical outputs into biologically meaningful insights and effectively communicate findings to both scientific and non-scientific audiences across the organization and at external forums
- Identify, evaluate, and apply novel computational techniques and data integration strategies to enhance data interpretation and decision-making
- Contribute to the drafting and submission of scientific publications, and support patent filings and other intellectual property activities
- Perform additional responsibilities as needed in support of team and organizational goals
Requirements
Do you have experience in Pharmaceutical company experience?, * Ph.D. in Bioinformatics, Statistics, Applied Mathematics, Computer Science, or a closely related discipline, with at least 4 years of relevant industry experience
- Demonstrated experience within the biotechnology or pharmaceutical industry
- Hands-on experience working with Real-World Data (RWD), including datasets such as EHR and claims from major data providers
- Familiarity with programming languages such as Python, Scala, C, and database tools like MySQL is advantageous but not required
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