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Senior Clinical Data Engineer

Role overview

Qualifications

  • Bachelor's degree (or equivalent) in a relevant science discipline
  • Proficiency in at least one programming language (SQL, SAS, or R)
  • Strong analytical and problem-solving skills
  • Knowledge of SOPs, guidelines, work instructions, system life cycle methodologies, ICH-GCP, and applicable regulations (e.g., 21 CFR Part 11)

Responsibilities

  • Lead and implement Data Receipt Agreements with vendors through cross-functional collaboration
  • Program and configure import procedures for data ingestion using SAS, Workbench, or alternative technologies
  • Design and execute reconciliation checks to ensure accurate data transfer
  • Maintain comprehensive study documentation in accordance with SOPs, guidelines, and work instructions

Key facts

Other skills

  • Analytical Skills
  • Problem Solving
  • Decision Making
  • Collaboration

About the company

Parexel logo

Parexel

Pharmaceuticals

Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. Leveraging the breadth of our clinical, regulatory and therapeutic expertise, our team of more than 21,000 global professionals collaborates with biopharmaceutical leaders, emerging innovators and sites to design and deliver clinical trials with patients in mind, increasing access and participation to make clinical research a care option for anyone, anywhere. Our depth of industry knowledge and strong track record gained over the past 40 years is moving the industry forward and advancing clinical research in healthcare’s most complex areas, while our innovation ecosystem offers the best solutions to make every phase of the clinical trial process more efficient. With the people, insight and focus on operational excellence, we work With HeartTM every day to treat patients with dignity and continuously learn from their experiences, so every trial makes a difference. For more information, visit parexel.com. Community Guidelines Because Parexel’s social media channels are open to the general public and employees, we are not responsible for views expressed other than our own. However, we do not tolerate posts that are: • Abusive, harassing or threatening to others. • Defamatory, offensive, obscene, vulgar or depicting violence. • Hateful targeting by race/ethnicity, age, color, creed, religion, gender, sexual preference or orientation, nationality or political beliefs. • Sexually explicit or pornographic. • Fraudulent, deceptive, libelous, misleading or unlawful. • Referencing criminal or illegal activity. • Spamming. We reserve the right to remove any comments that do not adhere to our guidelines as well as report users who violate the rules of our page.

Company details

Company typeXLarge
IndustryPharmaceuticals
Company size10001

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Job description

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Are you a skilled data engineering professional with a passion for clinical research? Parexel is seeking a Senior Clinical Data Engineer to join our Global Data Operations team. In this pivotal role, you will leverage your technical expertise to support the conduct of clinical trials, serve as an internal subject matter expert, and lead cross-functional projects with sponsors and data management teams.

As a Senior Clinical Data Engineer, you will work independently and collaboratively to manage electronic data, eClinical technologies, and systems while maintaining the highest standards of quality and regulatory compliance. You will also mentor team members and drive process improvements across the organization.

Key Responsibilities

Project & Technology Management

  • Lead and implement Data Receipt Agreements with vendors through cross-functional collaboration

  • Program and configure import procedures for data ingestion using SAS, Workbench, or alternative technologies

  • Design and execute reconciliation checks to ensure accurate data transfer

  • Program offline listings and custom reports to provide actionable insights

  • Aggregate data across multiple sources and manage external data effectively

  • Handle missing values, raw data files, data structures, and SAS dataset operations

  • Review and analyze data outputs to provide insights to study teams and clients

  • Ensure first-time quality on all deliverables

  • Manage electronic data timelines and coordinate with project teams

  • Lead programming teams to successful study completion within timelines and budget

  • Deploy and manage data management technology (Workbench, SAS, R, etc.)

Documentation & Compliance

  • Maintain comprehensive study documentation in accordance with SOPs, guidelines, and work instructions

  • Ensure traceability and regulatory compliance across all activities

  • Document deviations and communicate them to project teams

Standards & Process Improvement

  • Participate in creating standards through tools (SAS macros, libraries, processes)

  • Develop and implement project-specific tools and templates

  • Improve efficiencies through standardized project structures and naming conventions

  • Support business development and bid defense meetings

Required Skills & Experience:

  • Bachelor's degree (or equivalent) in a relevant science discipline

  • Proficiency in at least one programming language (SQL, SAS, or R)

  • Strong analytical and problem-solving skills

  • Ability to make informed decisions in ambiguous situations

  • Bachelor's degree (or equivalent) in a relevant science discipline

  • Application of Clinical Research Standards (CRS) concepts

  • Root cause analysis capability

  • Fluent written and oral English

Required Experience & Knowledge

  • Proficiency in at least one of the following: SQL, SAS, or R

  • Knowledge of SOPs, guidelines, work instructions, system life cycle methodologies, ICH-GCP, and applicable regulations (e.g., 21 CFR Part 11)

  • Proven practical application of regulatory and compliance frameworks

  • Experience working with at least two systems used to aggregate data in clinical trials (e.g., SAS, Workbench, Elluminate)

  • Strong background in clinical research industry or similar field

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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