Sr. Data Scientist, Specialty Networks Solutions
Company: Jobgether
Location: US (Remote)
Salary: $125.3k - $178.9k per year
Type: Full-time
Remote: Yes
Posted: 2026-11-10
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Scientist, Specialty Networks Solutions based in the United States.
We are seeking an experienced Senior Data Scientist to lead the development and deployment of advanced data science solutions that transform complex healthcare data into actionable insights. In this remote, full-time role, you will work at the intersection of clinical informatics, data engineering, and life sciences strategy to deliver high-impact real-world data (RWD) products for biopharmaceutical partners. You will play a key role in improving clinical data quality, expanding data accessibility, and developing scalable analytical solutions that generate measurable clinical and commercial value. Collaborating closely with engineering teams, healthcare experts, and external stakeholders, you will turn analytical prototypes into reliable, production-ready data products. Your work will support better patient insights, more effective healthcare strategies, and evidence-based decision-making across the life sciences ecosystem. This position offers the opportunity to contribute to innovative healthcare analytics initiatives within a collaborative, multidisciplinary environment.
### Accountabilities:
- Data Governance and Standards: Define and establish governed definitions for high-priority derived variables, ensuring consistency and reliability across healthcare datasets and analytical products.
- Data Quality Management: Develop quality control rules for each data transformation stage, conduct hands-on profiling of raw and processed datasets, identify anomalies, and investigate their root causes.
- Documentation and Compliance: Maintain comprehensive documentation of data pipelines, data models, and transformation logic to ensure transparency, reproducibility, and regulatory defensibility.
- Data Product Development: Strengthen analytical assets and data pip...