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Clinical Data Engineer

2 months ago

Menlo Park, United States Randstad Life Sciences US Full time

A technology research company that focuses on research surrounding early cancer detection.

The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges. Developing solutions to help accelerate cancer diagnoses, blood-based detection for minimal residual disease, and other post-diagnostic applications.

This role is part of Biostatistics group within the Clinical Development team. The clinical data analyst contractor contributes to the analysis of clinical study data through their statistical programming expertise. This individual will develop programs for and maintain complete and auditable documentation of the analysis of Company’s clinical studies.


KEY SKILLS:


  • Experience working with clinical data -
  • Strong R skills (incl. R Markdown and RStudio) and must want to do coding work
  • Strong problem solving skills & fast learner



Company is seeking a Data Engineer with a focus on Clinical Pipeline. In this role, you will use your experience working with clinical data to help grow our ability to transform raw data into meaningful insights while maintaining data integrity and protecting data usage. You will partner with clinical, biostatistics, data science, and engineering functions to co-develop data solutions for the Company product pipeline, as well as help establish internal data models to support the variety of data needs of the Research and Development organization.

This is a hybrid role and requires you to be onsite at least 2 days a week in Menlo Park, CA.

Responsibilities

  • Define and develop data asset creation workflows for clinical study data, from data pre-processing and automation through data dissemination.
  • Provide technical support in developing and managing interactive data visualization and analytics tools for reporting and trending.
  • Play a key role in understanding user requirements, implementing systems, and authoring procedures related to system use.
  • Identify new technologies, concepts, and methodologies to address complex and evolving needs of study teams and other data consumers.
  • Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate.
  • Generate and maintain metadata and data navigation tools as required by various internal and external stakeholders including FDA.

Preferred Qualifications

  • BS/MS in a quantitative scientific field (computer science, engineering, mathematics, statistics, bioinformatics, etc.) with 3+ years of experience.
  • Proficiency with R or Python programming and at least one system-level programming language like Go, Java, or C++.
  • Strongly desirable experience with CDISC, SDTM, and ADaM compliant data sets.
  • Experience with SQL development and data warehousing concepts (e.g., ETL/ELT).
  • Demonstrated experience with real-time data visualization and analytics tools.
  • Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA.
  • Excellent interpersonal communication skills and a demonstrated track record of success in a cross-functional team environment.

Highly Desired Qualifications

  • Experience with AWS
  • Familiarity with Apache Airflow and DBT tools.
  • Experience with next-generation sequencing data.

Success Factors

  • Embrace Change: This role requires a continuous adaptation to new technologies and industry standards to enhance our data processing and analytics capabilities.
  • Solve Problems Together: Collaborating effectively across various teams is crucial to develop integrated data solutions that support our goals.
  • Think BIG: Aiming to significantly impact Company's mission through innovative data management and analysis methods.