Senior Clinical Data Analyst at 3Aware

3Aware logo
3Aware

Senior Clinical Data Analyst

Remote

Full Time

#Healthcare

#Data Analysis

#Medical Devices

#SQL

#Python

#Data Warehouses

#NLP

3Aware is looking for a Senior Clinical Data Analyst

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Summary:
As a Senior Clinical Data Analyst, you will be creating and managing the data assets 3Aware provides to our customers so they can ensure the safety and efficacy of the medical devices they used for patient care.  You will be responsible for  the management and refinement of large volumes of structured and unstructured clinical data and clinical vocabulary/terminology mapping; data cleansing, de-identification and normalization operations (such as NLP), and ensuring data integrity and quality. You will use business intelligence, query, analytic and statistical software to interpret and transform data. You will coordinate data suppliers and customers to establish robust data operations processes.

The ideal candidate will have experience working in a healthcare setting, an advanced data management and analytical skill set, and the ability to effectively communicate with business and technology leaders both internally and externally. This role will be hands-on data analysis and will report to the CTO.

What you’ll do:

  • Establish processes for the exchange and management of patient care and medical device data, including defining data standards and robust, secure transport mechanisms
  • Filter and “clean” data to normalize and structure data to meet HIPAA “safe harbor” de-identification standards and prepare data to support current and future use cases
  • Data analysis including statistical aggregation, terminology mapping, syntactic and semantic normalization, natural language processing, and other advanced analytics algorithms
  • Collaboration with software developers to plan and construct the architecture of model deployment
  • Summarize and communicate results to both internal and external stakeholders, including review and approval process for delivering data assets to internal stakeholders and customers
  • Contribute to the company’s knowledge of data mining and visualization best practices

What you bring:

  • A four year degree or equivalent work experience
  • 5+ years of experience as a data analyst (or similar) in a healthcare or research setting
  • Healthcare data terminology and interoperability domain expertise (e.g., EHR/EMR data standards and workflows, HL7, OMOP, SNOMED, RxNorm, ICD-10, CPT4, etc…)
  • Strong understanding of Relational Databases and Data Warehouses
  • Experience with SQL, Python, and R or equivalent required
  • Experience with data analytics software (Snowflake, Looker, etc…)
  • Excellent analytical, troubleshooting, and problem-solving skills

What makes us unique:

  •         Unlimited PTO, remote friendly and flexible hours
  •         401k Matching
  •         Career planning, mentorships and professional development
  •         Volunteer Opportunities
  •         Wellness Programs

Who we are:
3Aware provides a purpose-built data linkage and analytics SaaS platform to help MedTech manufacturers combat skyrocketing compliance costs and optimize gross margin performance, by enabling previously inaccessible device-specific insights from real world evidence regarding the longitudinal experience and outcomes of tens of millions of patients.

  • 3Aware coverage currently covers 10+ million patients, relative to more than sixty thousand devices, and is consistently growing.
  • Proven AI capabilities facilitate the mining, interpretation and analysis of critical information buried in structured EHR content, unstructured clinical notes and a myriad of healthcare operations and administration systems.
  • The 3Aware platform enables analysts to quickly and directly access the content they need to apply their expertise-in an environment optimized for Post-Market Clinical Follow-up.

3Aware is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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