Clinical Data Analyst Intern

Seattle, WA

Truveta

Unlock the power of EHR data analytics with Truveta. Discover actionable insights and drive meaningful improvements using comprehensive EHR data.

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Clinical Data Analyst Intern

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.  

This role will be based out of our office in the Greater Seattle area. #LI-onsite

Who We Need    

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  

Internship Details  

Our clinical data analyst internship is designed for candidates who are pursuing their senior year of undergraduate or graduate programs. Candidates must be graduating within a year of the internship. This will be a 3-month internship.

This Opportunity

Truveta is building the leading platform for medical research on one of the largest and most comprehensive clinical data sets in the country. This role will primarily focus on performing data analyses to support various healthcare projects and initiatives. The ideal candidate will have a strong analytical mindset, an interest in healthcare data, and the ability to work both independently and collaboratively.      

Responsibilities

  • Ad Hoc Analysis: Conduct detailed ad hoc analyses to address specific business questions or challenges. This may include data extraction, manipulation, and reporting. 
  • Data Collection & Preparation: Use Databricks, SQL, and Excel to collect and analyze data 
  • Collaboration: Work closely with senior analysts, healthcare professionals, and other team members to understand analysis requirements and provide data-driven insights. 
  • Data Quality Assurance: Verify data integrity and accuracy of outputs independently and by maintaining best practices such as code review 
  • Documentation: Maintain thorough documentation of methodologies, processes, and findings to support reproducibility and knowledge sharing. 
  • Continuous Learning: Stay updated with the latest trends and technologies in healthcare analytics and data science. 

Key Qualifications  

  • Experience using SQL, Python; PowerBI is a plus 
  • Exposure to ML/AI preferred
  • Excellent problem-solving and communication skills
  • Current or recent students in B.S. in Computer Science or related field is required  

Why Truveta?    

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.    

We offer:    

  • Monthly stipend of $1,800-$2,200
  • Company-issued laptop and equipment  
  • Opportunities for future full-time positions  

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

 

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Category: Analyst Jobs

Tags: Big Data Computer Science Databricks Data quality Excel Machine Learning Power BI Python Research SQL

Region: North America
Country: United States

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