Principal Data Engineer

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $155k - $195k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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RealTime eClinical Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

💰 Private Equity Round on 2022-01

RealTime eClinical Solutions is a leading enterprise-grade technology provider facilitating global clinical trials with a comprehensive eClinical platform. Purpose-built for clinical research sites, site networks, academic medical centers, sponsors, and CROs, the platform goes beyond traditional CTMS to empower research and business workflows for modern-day clinical trials.

📋 Description

• Define and drive the data science and AI roadmap, aligning model development priorities with business objectives and product strategy. • Lead end-to-end delivery of ML and AI solutions — from problem framing, data discovery, and model design through validation, deployment, and performance monitoring. • Translate ambiguous business problems into well-scoped data science workstreams, identifying quick wins alongside longer-term strategic initiatives. • Champion best practices in model development, including versioning, documentation, validation, and observability. • Design and implement NLP pipelines for use cases such as entity extraction, semantic mapping, classification, and retrieval-augmented generation (RAG). • Build and maintain forecasting and predictive models to support operational and strategic decision-making. • Apply statistical and machine learning methods to identify root causes of process inefficiencies and data quality issues. • Develop reusable data pipelines, crosswalk tables, and transformation workflows that support scalable, cross-functional data products. • Conduct current-state assessments of data architecture, sources, and quality; define future-state data models and governance standards. • Develop and maintain KPI reporting frameworks and dashboards that enable performance monitoring and data-driven decision-making. • Apply process optimization methodologies (e.g., Lean Six Sigma) to identify bottlenecks, reduce cycle time, and improve data accuracy. • Ensure analytical outputs are accurate, auditable, and aligned with regulatory and compliance requirements (e.g., HIPAA, GDPR). • Partner closely with Product, Engineering, and business stakeholders to clarify requirements, validate feasibility, and define measurable success criteria. • Communicate complex analytical findings and model outputs clearly to both technical and non-technical audiences, including executive stakeholders. • Define value-realization strategies for data and AI investments, ensuring ROI is tracked through improved search, reporting, and operational insight. • Mentor data analysts and junior data scientists through pairing, design reviews, and structured technical guidance. • Lead knowledge transfer of owned models, pipelines, and analytical frameworks to ensure team resilience and continuity. • Drive a culture of continuous learning, analytical rigor, and responsible AI within the data science function.

🎯 Requirements

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field, or equivalent professional experience. • 5+ years of experience in data science, data analytics, or a related discipline, including production ML/AI deployments. • Strong proficiency in Python for data science workflows, including pandas, scikit-learn, and NLP libraries (e.g., spaCy, Hugging Face Transformers). • Proven experience designing and delivering NLP pipelines and/or forecasting models in a business context. • Solid command of SQL for data querying, transformation, and analysis across relational databases. • Experience with BI and reporting tools, particularly Power BI, including data modeling and DAX. • Demonstrated ability to communicate analytical findings clearly to non-technical stakeholders and drive decision-making. • Experience working in regulated industries (healthcare, finance, or similar) with an understanding of compliance and data governance requirements.

🏖️ Benefits

• Health insurance • Long-term disability insurance • Life insurance • Unlimited Paid Time Off • 10 paid Holidays • Paid Parental Leave • Work Anniversary Bonus • Participation in the Employee of the Quarter Program • Monthly $100 Connectivity Stipend Reimbursement • 401K matching contributions at 100% of the first 3% and 50% of the next 2%.