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Cdisc Sdtm Adam Jobs (NOW HIRING)

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards. * Develop ...

Exelixis

Senior AI Data Scientist I

Alameda, CA

Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards. * Develop ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards. * Develop ...

Systimmune

Clinical Data Analyst, Spotfire

Redmond, WA · On-site

Uphold industry standards including protocol compliance, ICH GCP, FDA regulations, and CDISC standards (SDTM, ADaM). Qualifications: * Bachelor's degree in Biostatistics, Computer Science, Life ...

Solomon Page

Sr. Statistical Programmer

Princeton, NJ · On-site

$75 - $80/hr

CDISC-compliant SDTM datasets * ADaM datasets * Tables, Listings, and Figures (TLFs) * Patient profiles * Ad hoc analyses and reporting outputs * Ensure timely and high-quality delivery of ...

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How much do cdisc sdtm adam jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for cdisc sdtm adam in the United States is $54.18, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $81.49 per hour, depending on experience, location, and employer.

What are CDISC SDTM and ADaM?

CDISC SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) are data standards used in clinical trials to organize and submit data to regulatory agencies like the FDA. SDTM defines how to structure raw clinical trial data for submission, focusing on standardizing data tabulation. ADaM provides guidelines for creating datasets used in statistical analysis, ensuring the data is analysis-ready and traceable back to SDTM. Both standards improve data quality, consistency, and regulatory review efficiency in the pharmaceutical industry.

What are the typical collaboration points between a CDISC SDTM/ADaM programmer and clinical data managers during a clinical trial project?

A CDISC SDTM/ADaM programmer works closely with clinical data managers to ensure data collected during a clinical trial is accurately mapped and transformed according to regulatory standards. Collaboration often involves clarifying data definitions, resolving data discrepancies, and aligning on timelines for data delivery. Regular meetings and clear communication are key, as programmers rely on data managers for clean, validated data, while data managers depend on programmers to structure data sets correctly for analysis and regulatory submission. This partnership is essential for meeting project deadlines and maintaining data integrity.

What are the key skills and qualifications needed to thrive as a CDISC SDTM/ADaM specialist, and why are they important?

To thrive as a CDISC SDTM/ADaM Specialist, you need a solid background in clinical data management, knowledge of regulatory standards, and expertise in statistical programming (often with SAS). Familiarity with CDISC SDTM and ADaM models, FDA submission requirements, and tools like Pinnacle 21 or JReview is typically required. Strong attention to detail, analytical thinking, and effective communication are essential soft skills for this role. These competencies ensure accurate data standardization, regulatory compliance, and smooth collaboration in clinical research environments.

What is the difference between Cdisc Sdtm Adam vs Clinical Data Coordinator?

AspectCdisc Sdtm AdamClinical Data Coordinator
Primary RoleDevelops and manages ADaM datasets for clinical trialsOversees data collection, entry, and quality control in clinical studies
Required SkillsKnowledge of CDISC standards, SAS programming, statistical conceptsData management, database systems, attention to detail
Work EnvironmentPharmaceutical or CRO data analysis teamsClinical research sites, CROs, pharmaceutical companies

While Cdisc Sdtm Adam specialists focus on creating analysis datasets using CDISC standards, Clinical Data Coordinators manage the overall data collection and quality in clinical trials. Both roles require knowledge of clinical data processes but differ in their specific responsibilities and technical focus.

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Cdisc Sdtm Adam jobs near you
Infographic showing various Cdisc Sdtm Adam job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 59% Physical, 1% Hybrid, and 40% Remote job distribution, with an average salary of $112,695 per year, or $54.2 per hour.

Senior AI Data Scientist I

Exelixis

Alameda, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

SUMMARY/JOB PURPOSE
The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug-development decisions. Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data pipeline. This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical Operations to accelerate data-driven insights, improve data infrastructure, and ensure the accuracy and reproducibility of analytical outputs that inform study-level and portfolio-level decisions.
ESSENTIAL DUTIES/RESPONSIBILITIES
  • Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined acceptance criteria.
  • Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards.
  • Develop and maintain LLM-based and generative AI-workflows for automated TLF review and ad-hoc analytical queries, applying human-in-the-loop validation to ensure output reliability.
  • Create interactive dashboards and visualizations that support clinical data review, study-health monitoring, and decision-making across cross-functional stakeholders.
  • Execute data validation checks and quality-assurance procedures to ensure accuracy, reproducibility and compliance of analytical outputs with GxP requirements.
  • Support the development and maintenance of data pipelines on Databricks and AWS cloud infrastructure, applying version control (Git/GitHub) and CI/CD best practices.
  • Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations to deliver AI/ML project milestones and address study-level data needs.
  • Prepare and maintain documentation of model development, data transformation, and validation activities consistent with SOPs and work instructions.
  • Drive external scientific visibility and publication objectives by contributing to manuscripts, conference presentations and white papers that showcase clinical AI/data science innovations.
  • Pursue continuous professional development in emerging AI/ML techniques, cloud-based data platforms, and clinical data science methodologies to advance team capabilities.
  • Performs other duties as assigned
  • Complies with all policies and standards

SUPERVISORY RESPONSIBILITIES
  • None

EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES
Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or,
  • Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 5 years of experience; or,
  • Equivalent combination of education and experience.

Experience
  • With PhD: No prior experience applying AI/ML methods to structured or unstructured data.
  • With Master's degree: A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.
  • With Bachelor's degree: A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.
  • Without degree: A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.

Knowledge, Skills and Abilities
Required:
  • Intermediate proficiency in Python (Pandas, NumPy, scikit-learn) for data manipulation and model prototyping.
  • Intermediate proficiency in R for statistical analysis and visualization.
  • Basic proficiency in SQL for data querying and transformation.
  • Intermediate understanding of supervised and unsupervised learning fundamentals, including model evaluation.
  • Basic familiarity with NLP, text mining and/or time series analysis techniques.
  • Basic familiarity with LLM APIs and prompt engineering concepts.
  • Basic knowledge of Databricks notebooks and Delta Lake concepts.
  • Basic familiarity with AWS cloud services (S3, Lambda, Glue).
  • Basic understanding of data pipeline concepts and data integration fundamentals.
  • Intermediate proficiency with version control (Git/GitHub) and project tracking tools (Jira).
  • Intermediate proficiency with BI platforms including Spotfire, Tableau and/or Power BI.
  • Basic understanding of the clinical development process and regulatory requirements (ICH, GxP).
  • Basic familiarity with CDISC data standards (SDTM, ADaM) concepts.
  • Ability to communicate technical concepts clearly to diverse audiences.
  • Strong collaboration and teamwork skills in a cross-functional environment.
  • Attention to detail and organizational skills.
    #LI-JP1

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $143,500 - $203,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors.
In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.
If you have a disability and need an accommodation in relation to the application and/or recruitment process, please email us at: recruiting@exelixis.com
WORKING CONDITIONS:
Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace.
DISCLAIMER:
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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