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Clinical Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Jersey City, NJ · Remote

$119K - $143K/yr

GCP Data Engineer Remote, US $75-85k plus bonus plus benefits For more information on benefits and ... Must have working experience with the clinical data * GCP (google cloud platform) experience * 3+ ...

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

GCP Data Engineer Remote, US $75-85k plus bonus plus benefits For more information on benefits and ... Must have working experience with the clinical data * GCP (google cloud platform) experience * 3+ ...

$150 - $200/hr

... Programming, and Medical Writing functional areas to assure cooperative realization of corporate objectives and to optimize the productivity and effectiveness of clinical data management. Perform ...

Showing results 21-40

Clinical Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do clinical data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for clinical data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a clinical data engineer?

A Clinical Data Engineer is a professional who designs, develops, and manages systems and processes for collecting, storing, and analyzing clinical trial or healthcare data. They work with large datasets, often using programming and database management skills, to ensure data integrity, quality, and security. Clinical Data Engineers collaborate with clinical researchers, data managers, and IT teams to streamline data workflows and support regulatory compliance. Their work is essential for enabling accurate analysis and reporting in clinical studies and improving healthcare outcomes.

How does a clinical data engineer typically collaborate with clinical research teams during a clinical trial?

Clinical Data Engineers work closely with clinical research teams to ensure that data collected during trials is accurate, secure, and accessible. They often design and maintain data pipelines, troubleshoot data integration issues, and provide technical support to clinical staff. Regular meetings with data managers, biostatisticians, and clinical coordinators help align technical solutions with study protocols and regulatory requirements. This collaborative environment ensures that data-driven insights can be generated efficiently and reliably throughout the study lifecycle.

What are the key skills and qualifications needed to thrive as a clinical data engineer, and why are they important?

To thrive as a Clinical Data Engineer, you need a strong background in data management, database design, and clinical data standards, often supported by degrees in computer science, health informatics, or related fields. Familiarity with tools such as SQL, Python, EDC systems (like Medidata or Oracle Clinical), and certifications in data handling or clinical research are typically required. Attention to detail, analytical thinking, and strong communication skills are essential soft skills for collaborating across clinical and technical teams. These skills ensure accurate data integration, regulatory compliance, and effective support for clinical research and decision-making.

What is the difference between Clinical Data Engineer vs Data Analyst?

AspectClinical Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Bioinformatics, or related field; knowledge of databases and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentHealthcare settings, research institutions, biotech companiesBusiness, healthcare, or research organizations across various industries
Employer & Industry UsageUsed in clinical research, healthcare IT, and pharmaceutical industriesUsed broadly in finance, marketing, healthcare, and other sectors

Clinical Data Engineers focus on building and maintaining data systems specific to clinical and healthcare data, requiring technical skills in databases and programming. Data Analysts interpret data to generate insights, often using visualization tools. While both roles handle data, Clinical Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

More about Clinical Data Engineer jobs

What states have the most Clinical Data Engineer jobs?

States with the most job openings for Clinical Data Engineer jobs include:

Infographic showing various Clinical Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Full-time

Posted 21 days ago


Takeda Pharmaceuticals rating

7.3

Company rating: 7.3 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

70th of 86 rated pharmaceutical


Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Are you looking for a patient-focused, innovation-driven company to inspire you and empower you to shine? Join us as a Senior Manager, Clinical Data Enablement based remotely reporting to the Director, Clinical Data Engineering.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to work towards their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, and work toward excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to provide Better Health and a Brighter Future to people around the world.

Here, you will be a necessary contributor to our inspiring, bold mission.

GOALS:

The Senior Manager, Clinical Data Enablement is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation capabilities, partners closely with internal stakeholders and external vendors, and ensures reliable, compliant delivery of clinical data products to downstream consumers.

ACCOUNTABILITIES:

  • Own end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, performant, traceable operations.
  • Drive operational excellence through monitoring/alerting, incident management, root-cause analysis, and corrective/preventive actions.
  • Build and scale cloud ETL/ELT capabilities (AWS/Azure) for efficient ingestion, transformation, orchestration, and delivery.
  • Automate integrations and run operations (scheduling, metadata-driven pipelines, automated quality checks) to improve reliability and timeliness.
  • Partner with vendors and cross-functional teams to define data transfer specifications, acceptance criteria, and integration patterns; implement integrations with robust error handling and reconciliation.
  • Serve as an SME for structured and unstructured data integration, driving continuous improvements through stakeholder feedback and evolving requirements.
  • Partner with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to deliver fit-for-purpose datasets and interfaces (format, structure, cadence).
  • Ensure on-time, high-quality delivery to agreed specifications; establish and manage SLAs/OLAs as needed.
  • Design and deliver GxP-aligned clinical data engineering solutions with lifecycle documentation, traceability, and audit-ready evidence.
  • Embed data integrity controls (e.g., ALCOA+) and support validated operations via change control, incident/deviation documentation, periodic review, and inspection readiness.
  • Collaborate with Quality/Compliance/IT to implement appropriate access controls, logging/audit trails (as applicable), and operating controls.

EDUCATION AND EXPERIENCE:

  • BS/BA (or equivalent) plus6+ yearsin data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).
  • StrongSQL, data modeling, and data quality controls; working knowledge ofNoSQLand integration patterns.
  • Proficiency inPython (preferred) or R; experience building production pipelines (testing, logging, monitoring); familiarity with SDLC practices;Jira/Confluence required.
  • Knowledge of CDISC, CDASH, and SDTM standards preferred.
  • Hands-on withCSV, JSON, XML, andAPI/file-basedintegrations.
  • Cloud experience (e.g., AWS such as EC2/EMR/RDS/Redshift/Apache Spark) and related platforms (e.g., Snowflake, Databricks).Pipeline and platformexpertise: reusable ELT/ETL frameworks; data warehouse/data lake technologies(e.g.,Snowflake,Amazon Redshift); large-scale pipeline performance and maintenance.
  • GitHub/GitLabversion control; CI/CD exposure preferred.
  • Experience working inGxP-regulatedenvironments with change control/audit readiness expectations; ability to embeddata integritycontrols into pipelines and operations.
  • Mentor junior engineers/FSPs; independent and collaborative problem-solving; ability to prioritize in a fast-paced environment and deliver to deadlines.
  • Strong collaboration and communication; organized, self-directed, proactive problem-solver.
  • Prior regulatory inspection experience preferred.
  • AWS/Azure and/or Python certification preferred.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

Massachusetts - Virtual

U.S. Base Salary Range:

$137,000.00 - $215,270.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.


For information about our benefits, please click here.


EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsMassachusetts - VirtualWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Takeda Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies, pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

San Diego, CA, US

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