... standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]). • Deep familiarity with FAIR (Findable, Accessible ...
... standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]). • Deep familiarity with FAIR (Findable, Accessible ...
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
Senior Manager, Clinical Data Management
San Francisco, CA · On-site
$180K - $195K/yr
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
Senior Manager, Clinical Data Management
San Francisco, CA · On-site
$180K - $195K/yr
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
Quick apply
CRF design and development, CRF standardization, ongoing data review and cleaning, rolling/interim/final database locks, and clinical data archival. They will work collaboratively with other internal ...
Strong understanding of clinical trial processes, clinical data standards, GCP, ICH guidelines, and regulatory expectations. * Hands‑on experience with EDC systems, clinical databases, and related ...
Strong understanding of clinical trial processes, clinical data standards, GCP, ICH guidelines, and regulatory expectations. * Hands‑on experience with EDC systems, clinical databases, and related ...
Clinical Data Manager
$55 - $65/hr
Durham, NC Duration: 09 Months contract (Potential temp to Perm) Payrate: $55/hr. - $65/hr ... Monitors work productivity or quality to ensure compliance with standard operating procedures.
Clinical Data Manager
$55 - $65/hr
Durham, NC Duration: 09 Months contract (Potential temp to Perm) Payrate: $55/hr. - $65/hr ... Monitors work productivity or quality to ensure compliance with standard operating procedures.
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This role requires in-depth understanding of the clinical study design, data standards, study protocol, data flow, systems, and processes for collecting and managing clinical study data. The Clinical ...
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Clinical Data Associate
Indianapolis, IN · On-site
This role requires in-depth understanding of the clinical study design, data standards, study protocol, data flow, systems, and processes for collecting and managing clinical study data. The Clinical ...
Clinical Data Associate
Indianapolis, IN · On-site
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Aliso Viejo, CA · On-site
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Quick apply
Clinical Data Manager
Aliso Viejo, CA · On-site
Temporary / Contract Pay: $26/hr - $29/hr on W2(Inclusive all) Position Summary Client is seeking ... Knowledge of CDISC standards including CDASH and SDTM. * Experience writing and maintaining Data ...
Clinical Data Project Coordinator I
Seattle, WA · On-site
$31.83 - $47.73/hr
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Clinical Data Project Coordinator I
Seattle, WA · On-site
$31.83 - $47.73/hr
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Establish and maintain a Global Spotfire Library, aligning visualization standards across multiple studies and programs. * Train and mentor Clinical Data Managers and other stakeholders in ...
Quick apply
Clinical Data Analyst, Spotfire
Redmond, WA · On-site
$90K - $130K/yr
Establish and maintain a Global Spotfire Library, aligning visualization standards across multiple studies and programs. * Train and mentor Clinical Data Managers and other stakeholders in ...
Clinical Data Analyst, Spotfire
Redmond, WA · On-site
$90K - $130K/yr
Establish and maintain a Global Spotfire Library, aligning visualization standards across multiple studies and programs. * Train and mentor Clinical Data Managers and other stakeholders in ...
Clinical Data Analyst, Spotfire
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Temporary Clinical Research Coordinator
Boulevard, CA · On-site
$7.25 - $25/hr
Posted Job Title Temporary Clinical Research Coordinator Job Profile Title Temporary Employee - Non ... Responsibilities include organizing and reviewing study data, assisting with data interpretation ...
Temporary Clinical Research Coordinator
Boulevard, CA · On-site
$7.25 - $25/hr
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Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk basedmonitoring approaches for clinical data. * Lead hands ...
Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk basedmonitoring approaches for clinical data. * Lead hands ...
Clinical Data Engineer
Denver, CO · Remote
$85K - $100K/yr
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Clinical Data Engineer
Denver, CO · Remote
$85K - $100K/yr
Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help ... Successfully utilize data standards such as HL7, FHIR, CCD, CCR and claims data. * Integrate ...
Provide early strategic input into protocol design, CRF design, data standards, endpoint ... Partner with Clinical Operations, Biostatistics, Statistical Programming, Medical, Safety/PV ...
Provide early strategic input into protocol design, CRF design, data standards, endpoint ... Partner with Clinical Operations, Biostatistics, Statistical Programming, Medical, Safety/PV ...
Temporary Clinical Data Standards information
See salary details
$13.94 - $20.56
5% of jobs
$20.56 - $27.19
6% of jobs
$29.74 is the 25th percentile. Wages below this are outliers.
$27.19 - $33.81
35% of jobs
The median wage is $34.45 / hr.
$33.81 - $40.43
38% of jobs
$40.43 - $47.05
6% of jobs
$47.05 - $53.67
3% of jobs
$53.67 - $60.29
2% of jobs
$60.29 - $66.91
0% of jobs
$66.91 - $73.54
0% of jobs
$73.54 - $80.16
1% of jobs
$80.16 - $86.78
3% of jobs
$13
$38
$86
How much do temporary clinical data standards jobs pay per hour?
As of Jun 12, 2026, the average hourly pay for temporary clinical data standards in the United States is $38.95, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $38.94 per hour, depending on experience, location, and employer.
What cities are hiring for Temporary Clinical Data Standards jobs? Cities with the most Temporary Clinical Data Standards job openings:
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Full-time
Posted 28 days ago
Novartis rating
7.4
Based on 8 frontline employees who took The Breakroom Quiz
53rd of 71 rated pharmaceutical
Job description
Job Summary:
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.