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Remote Cdisc Jobs (NOW HIRING)

Ultragenyx Pharmaceutical

Director, Biostatistics

Familiar with SAS and R; preferably with knowledge in CDISC including SDTM, ADaM, and controlled terminologies #LI-CS1 #LI-Remote The typical annual salary range for this full-time position is listed ...

Cytokinetics

Contract Clinical Systems Specialist

$75 - $86/hr

Understanding of clinical trial data and regulations (CDISC, Good Clinical Practice, 21 CFR Part 11 ... Good organization skills, ability to manage multiple tasks #LI-REMOTE Pay Range: In the U.S., the ...

Natera

Director of Statistical Programming

$186K - $233K/yr

In-depth knowledge of CDISC standards including SDTM and ADaM * Proven track record of producing ... Remote USA $186,400-$233,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Crio, Inc.

Product Owner

$100K - $130K/yr

... remote monitoring by sponsors and CROs. CRIO's eSource and CTMS system is a leading, modern ... Experience with 21 CFR Part 11, HIPAA, CDISC ODM, HL7 FHIR and GDPR conformance. Benefits & Perks ...

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Remote Cdisc information

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$55

$84

$116

How much do remote cdisc jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote cdisc in the United States is $84.56, according to ZipRecruiter salary data. Most workers in this role earn between $72.84 and $97.60 per hour, depending on experience, location, and employer.

What is the difference between Remote Cdisc vs Remote Data Analyst?

AspectRemote CdiscRemote Data Analyst
Required CertificationsCDISC certifications, knowledge of CDISC standardsTypically a degree in data science, statistics, or related field; certifications vary
Work EnvironmentPharmaceutical/clinical research companies, CROs, remoteVarious industries including healthcare, finance, tech; remote options common
Industry UsagePrimarily in clinical research and pharmaceutical sectorsAcross multiple sectors including healthcare, finance, marketing
Common Search/ComparisonYesYes

Remote Cdisc specialists focus on clinical data standards and regulatory compliance within the pharmaceutical industry, often requiring CDISC certifications. Remote Data Analysts have broader roles across industries, analyzing data sets with varying tools and certifications. While both roles involve data handling, Remote Cdisc professionals specialize in clinical data standards, making their skills more industry-specific compared to the versatile role of Remote Data Analysts.

What are the key skills and qualifications needed to thrive as a Remote CDISC Specialist, and why are they important?

To excel as a Remote CDISC Specialist, you need expertise in clinical data management, a thorough understanding of CDISC standards (such as SDTM and ADaM), and a relevant degree in life sciences or a related field. Proficiency with tools like SAS, Pinnacle 21, and clinical trial management systems, along with CDISC certification, is highly valued. Strong attention to detail, effective communication, and problem-solving abilities are crucial soft skills for this remote role. These competencies ensure accurate, compliant clinical data submissions and effective collaboration across distributed teams in regulatory environments.

What is a Remote CDISC professional?

A Remote CDISC professional is someone who works remotely to implement and manage data standards set by the Clinical Data Interchange Standards Consortium (CDISC) in clinical research. Their role typically involves converting, validating, and submitting clinical trial data to regulatory authorities in accordance with CDISC models, such as SDTM and ADaM. Remote CDISC professionals often collaborate with data managers, statisticians, and programmers to ensure data quality and compliance, utilizing specialized software and tools. Working remotely allows them to perform these tasks from any location, provided they have secure internet access and the necessary technical setup.

What are some common challenges faced when working remotely as a CDISC specialist, and how can they be addressed?

As a remote CDISC specialist, one of the most common challenges is maintaining clear communication with clinical data teams and stakeholders across different time zones. Ensuring data standards compliance and timely submissions can also be complex without face-to-face collaboration. To address these challenges, it's important to set regular video meetings, use collaborative project management tools, and document processes clearly. Building strong virtual relationships and proactively seeking feedback can help ensure data integrity and project alignment.
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Remote Cdisc jobs near you
Infographic showing various Remote Cdisc job openings in the United States as of July 2026, with employment types broken down into 6% Locum Tenens, 29% Internship, 20% As Needed, 7% Full Time, 31% Temporary, and 7% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $175,884 per year, or $84.6 per hour.

Principal, Data Engineering (Remote)

Vhr_jazz

Philadelphia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

If you are a current Jazz employee please apply via the Internal Career site

Jazz Pharmaceuticalsis a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered inDublin, Irelandwith research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visitwww.jazzpharmaceuticals.comfor more information.

Job Description

The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.

Essential Functions

  • Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.
  • Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
  • Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.
  • Build and maintain standard data models.
  • Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
  • Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
  • Create and maintain documentation for data processes, architectures, and workflows.
  • Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
  • Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
  • Maintain compliance with data privacy regulations such as HIPAA, GDPR
  • May be required to develop, deliver or support data literacy training across R&D.

Required Knowledge, Skills and Abilities

  • Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
  • Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
  • Strong proficiency with relational databases.
  • Strong background in data modeling and database design.
  • Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
  • Familiarity with Containerization such as Docker and EKS/Kubernetes.
  • Familiarity with one or more RnD research process and associated regulatory requirements.
  • Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
  • Exposure to big data technologies and handling.
  • Knowledge of machine learning operations (MLOps) and model deployment.
  • Strong problem-solving and analytical abilities.
  • Excellent communication skills for collaborating with stakeholders.
  • Experience working in an Agile development environment.

Required/Preferred Education

  • Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred
  • 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data

Description of Physical Demands

  • Occasional mobility within office environment
  • Routinely sitting for extended periods of time
  • Constantly operating a computer, printer, telephone and other similar office machinery

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits

Apply