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Warman OBrien
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  • Principal Statistician  

    - toronto

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - montréal

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - vancouver

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - québec city

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - calgary

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - mississauga

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - ottawa

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - laval

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - lévis

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

  • Principal Statistician  

    - edmonton

    FSP Principal Biostatistician – RWE | Canada | Home Based | Permanent | FSP |
    We are working with a leading global CRO who have an opportunity within their FSP team for a Principal Biostatistician to lead statistical support for novel clinical research using real-world data (RWD). This fully remote position offers the opportunity to work with cutting-edge datasets and contribute to impactful regulatory and commercial decisions.
    What you will be doing: Identify and access diverse RWD sources (EHRs, claims, registries, and other datasets). Collaborate with data vendors and healthcare organizations to ensure quality, compliance, and accessibility. Develop robust data pipelines to support study objectives. Design and execute statistical analyses to generate real-world evidence (RWE). Apply advanced methods including propensity score matching, survival analysis, regression modeling, and machine learning. Conduct comparative effectiveness research, health outcomes, and pharmacoeconomic studies. Collaborate with cross-functional teams to design RWE studies (retrospective cohorts, case-control studies, pragmatic trials). Contribute to study protocols, SAPs, and technical reports aligned with regulatory standards (FDA, EMA). Prepare reports, manuscripts, and presentations summarizing RWE findings for internal, regulatory, and publication purposes. Develop automated reporting tools and data visualizations for diverse audiences. Provide strategic recommendations to support drug development, market access, and lifecycle management. Ensure compliance with regulatory guidelines (FDA 21st Century Cures Act, EMA RWE framework) and industry standards (ISPOR, ISPE). Implement best practices for data integrity, reproducibility, and validation of statistical outputs.
    What you will need: PhD in Statistics, Biostatistics, or related field with 5+ years industry experience, or MS with 7+ years. Proven expertise in RWD/RWE studies and experience with EHRs, claims, registries, or other datasets. Strong programming skills in R, Python, or SAS; experience with SQL and data visualization tools (Tableau, Power BI, R Shiny). Familiarity with version control systems (e.g., Git) and reproducible research practices. Experience designing studies, developing protocols, SAPs, and supporting regulatory submissions. Knowledge of statistical methodologies for RWD, including propensity scores, longitudinal analysis, and causal inference. Understanding of ICH GCP, ICH E9, and CDISC standards (SDTM, ADaM, CDASH). Excellent communication, problem-solving, and collaboration skills.
    What’s in it for you: Fully remote with flexible scheduling. Collaborative, high-performing statistical and research teams. Opportunities for career growth, technical training, and impactful research. Focus on advancing new therapies rather than administrative burdens. Engaging, fast-paced environment with good work-life balance.
    What to do next? If this opportunity is of interest, please apply now with your CV as we are looking to arrange interviews soon.

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany