Life Science Data Analyst
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
What You'll Do:
- Work with our external data partnership and business development teams to build a full picture of existing and new data attributes
- Team up with other analysts to quickly respond to query requests from internal and external key stakeholders
- Manage schema and table curation for data exports and imports
- Own quality control and data analysis of inbound and outbound datasets
- Work with internal teams to mitigate risks regarding data quality
- Become an expert in our data infrastructure and serve as an internal resource as other teams integrate with new data stores
- Map values from various datasets in an overarching effort to merge disjoint data
Qualifications:
- 2+ years of technical experience in tech or big-data industry
- 2+ years of SQL and postgres database management experience
- Experience writing and debugging Python or R
- Excellent written and verbal communication skills
- Heightened attention to detail
- Experience working with disorganized data
Nice to Haves:
- Experience with AWS architecture
- Experience working with clinical and/or genomic data