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Data Analytics Lead

Tempus

Tempus

Data Science
Chicago, IL, USA
Posted on Thursday, May 11, 2023

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.

The Data Analytics Lead will support our Data Operations team in automating reporting and visualizations to aid both internal and external stakeholders for the Life Sciences research team. This includes investigating and correcting inconsistencies in the source data, designing custom solutions for project leads, and tying together data from various systems across Tempus for the use of the broader department.

Responsibilities

  • Use SQL to manage complex and nuanced datasets, troubleshoot quality issues, and support curation of data metrics for internal stakeholders

  • Creating unique and intuitive data visualizations and reports for management to summarize key insights across independent databases

  • Serve as a resource across internal teams for data quality and maintenance

  • Own documentation for internal processes impacting stakeholders across business units

  • Collect requirements from client managers to build targeted solutions for high priority customers

  • Identify and execute on opportunities for process automation within the business unit

  • Support accurate and timely execution of data deliverables for our Life Sciences sequencing collaborations

  • Validate, investigate, and resolve discrepancies across large datasets

Qualifications

  • 3+ years SQL experience

  • 2+ years data visualization experience

  • 2+ years of industry experience in a data-related field

  • 1+ years of hands-on experience with enterprise cloud computing and storage platforms (AWS, GCP etc)

  • Highly advanced Excel skills

  • Familiarity with Python and Jupyter Notebooks

  • Intermediate knowledge of genomic healthcare data, including molecular sequencing results, clinical patient information,

  • Experience with workbook scripting macros (i.e. VBA, Google AppScript, etc)

  • Clear communication and presentation skills, can articulate complex issues concisely

  • Thoughtful approach to writing code and creating comprehensive documentation

  • Ability to work independently to solve issues and drive projects forward

  • Comfortable building relationships and working collaboratively with project managers, data leads, bioinformatics scientists, sales, research, and other teams across the business

#LI-SH1 #LI-Hybrid

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.