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(Senior) Clinical Statistical Programmer – SAS*(m/w/x)
Developing and validating CDISC compliant SDTM/ADaM datasets for cancer immunotherapy clinical studies at a biotech firm. Strong SAS proficiency in clinical research and 3-5 years industry experience required. Job bike, job ticket, childcare benefits, relocation allowance.
Requirements
- Bachelor’s or Master’s degree in statistics, data science, life sciences, or related field
- Strong proficiency in SAS in a clinical research setting
- Experience in R
- Minimum 3-5 years of industry experience as a statistical programmer
- Familiarity with clinical research regulations such as GCP and ICH guidelines
- Strong attention to detail
- Highly structured and methodical working style
- Ability to work independently
- Analytical thinking
- Clear and effective communication in English
- German language skills
- Basic knowledge of immunology, oncology, and/or cell and gene therapy
Tasks
- Collaborate with biostatisticians to develop, validate, and review Tables, Figures, and Listings (TFLs) for clinical studies
- Clarify data specifications and address data quality issues with biostatisticians and data managers
- Ensure timely and accurate delivery of statistical outputs in line with protocol requirements and project timelines
- Support programming implementation of Statistical Analysis Plans, including mock TFLs and derived datasets
- Assist in the development, review, and validation of CDISC compliant SDTM and ADaM datasets
- Participate in documentation, TMF filing, and compliance activities following Good Clinical Practice (GCP) and ICH guidelines
- Contribute to the preparation and quality control of statistical outputs, regulatory submission packages, and Clinical Study Reports
- Identify opportunities for greater efficiency and standardization in data analysis workflows
- Develop and apply quality control measures to ensure integrity, reproducibility, and regulatory compliance of statistical programming outputs
Work Experience
- 3 - 5 years
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SAS
- R
Benefits
Company Bike
- Job bike
Public Transport Subsidies
- Job ticket
Healthcare & Fitness
- Health programs
Childcare
- Childcare benefits
Additional Allowances
- Relocation allowance
Team Events
- Company summer events
- Company winter events
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(Senior) Clinical Statistical Programmer – SAS*(m/w/x)
Developing and validating CDISC compliant SDTM/ADaM datasets for cancer immunotherapy clinical studies at a biotech firm. Strong SAS proficiency in clinical research and 3-5 years industry experience required. Job bike, job ticket, childcare benefits, relocation allowance.
Requirements
- Bachelor’s or Master’s degree in statistics, data science, life sciences, or related field
- Strong proficiency in SAS in a clinical research setting
- Experience in R
- Minimum 3-5 years of industry experience as a statistical programmer
- Familiarity with clinical research regulations such as GCP and ICH guidelines
- Strong attention to detail
- Highly structured and methodical working style
- Ability to work independently
- Analytical thinking
- Clear and effective communication in English
- German language skills
- Basic knowledge of immunology, oncology, and/or cell and gene therapy
Tasks
- Collaborate with biostatisticians to develop, validate, and review Tables, Figures, and Listings (TFLs) for clinical studies
- Clarify data specifications and address data quality issues with biostatisticians and data managers
- Ensure timely and accurate delivery of statistical outputs in line with protocol requirements and project timelines
- Support programming implementation of Statistical Analysis Plans, including mock TFLs and derived datasets
- Assist in the development, review, and validation of CDISC compliant SDTM and ADaM datasets
- Participate in documentation, TMF filing, and compliance activities following Good Clinical Practice (GCP) and ICH guidelines
- Contribute to the preparation and quality control of statistical outputs, regulatory submission packages, and Clinical Study Reports
- Identify opportunities for greater efficiency and standardization in data analysis workflows
- Develop and apply quality control measures to ensure integrity, reproducibility, and regulatory compliance of statistical programming outputs
Work Experience
- 3 - 5 years
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SAS
- R
Benefits
Company Bike
- Job bike
Public Transport Subsidies
- Job ticket
Healthcare & Fitness
- Health programs
Childcare
- Childcare benefits
Additional Allowances
- Relocation allowance
Team Events
- Company summer events
- Company winter events
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Immatics Biotechnologies GmbH
Industry
Healthcare
Description
The company combines the discovery of true targets for cancer immunotherapies with the development of T cell receptors to enable robust T cell responses against cancer.
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