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Truveta

Analyzes health records for medical research

Customer Facing Research Analyst

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • An undergraduate or graduate degree in clinical research, epidemiology, biostatistics, data science, clinical informatics, or a related field is required.
  • At least 5 years of experience in a technical customer-facing role delivering high-quality research studies and analyses is required.
  • At least 3 years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, contract research organizations, other EHR data companies, or healthcare organizations is required.
  • Strong proficiency in SQL, R, and/or Python for statistical analysis is required.
  • Experience working across large, multi-domain healthcare datasets with millions of patients and hundreds of millions of records, leveraging distributed computing frameworks for scalable analysis, is required.
  • Willingness to learn new coding languages, including an internal proprietary coding language, to analyze data and build cohorts is required.
  • A strong understanding of real-world evidence principles, including bias, confounding, and study design considerations, is required.
  • Demonstrated experience applying research methodologies, including cohort design and statistical approaches, is required.
  • Experience delivering high-quality product demonstrations that enable customers or stakeholders to understand and effectively leverage data, platform capabilities, and analytical workflows is required.
  • The ability to learn, adapt, and independently drive multiple projects forward in a fast-paced start-up environment is required.
  • The ability to build credibility and trust across stakeholders and communicate complex technical concepts to executive and technical audiences is required.

Responsibilities

  • Partner with life sciences customers to understand research questions and translate them into analytical approaches.
  • Provide technical analytics support and work directly with customers on calls to troubleshoot customer analyses.
  • Scope customer analysis requests and produce studies and results using SQL, R, and Python within agreed deadlines.
  • Build trusted relationships with customer stakeholders and act as a partner in advancing their research goals.
  • Apply appropriate research methodologies, including cohort design, bias mitigation, and statistical analysis.
  • Communicate project status and collaborate with success managers to help clients succeed with the platform.
  • Guide customers on best practices in real-world data research, including study design tradeoffs and interpretation of results.
  • Lead customer-facing discussions to unblock research challenges and drive projects forward.
  • Collaborate with customers to support peer-reviewed publications and high-quality research outputs.
  • Deliver rapid-response analyses and deeper investigations based on customer needs.
  • Provide technical support and troubleshoot customer analyses, code, and notebooks.
  • Create enablement materials as the platform evolves to onboard researchers to its capabilities.
  • Collaborate cross-functionally to investigate data quality and demonstrate data reliability.
  • Provide feedback to internal teams based on customer requests to inform the product roadmap.

Desired Qualifications

  • An advanced degree (MS, MPH, or PhD) in epidemiology, biostatistics, health economics, or a related field is preferred.
  • Experience supporting or contributing to peer-reviewed publications or conference abstracts is preferred.
  • Knowledge of advanced statistical methods such as regression, propensity score methods, survival analysis, and longitudinal data analysis is preferred.
  • Experience applying causal inference methods or handling incomplete data in observational research is preferred.
  • Experience with Spark, PySpark, or distributed data processing is preferred.
  • Experience with regression, propensity score matching, Kaplan-Meier analyses, or survival analyses is preferred.
  • Experience in customer-facing or consulting-style roles is preferred.
  • The ability to present research findings to technical and non-technical audiences is preferred.

About the Company

Truveta

Analyzes health records for medical research

Truveta sells health data and research software to life sciences companies, public health teams and healthcare organizations studying diseases, drugs and medical devices. Its platform organizes de-identified patient records into longitudinal datasets and normalizes clinical information into standard medical terminology for analysis. Researchers build cohorts and examine treatment patterns in a cloud workspace, while Truveta Intelligence translates plain-language questions into structured analyses. The company sells data subscriptions and supplies evidence services spanning study design, custom analytics and research delivery. Truveta was founded in September 2020.

Company size
201-500
Company stage
Late Stage VC
Total funding
$515M
Headquarters
Bellevue, WA
Founded
2020

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