#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gVybuTz5 Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
Miami jobs’ Post
More Relevant Posts
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gVybuTz5 Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/g8eEaJPF Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gd7VyQeh Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift) Hybrid*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gnS348Wm Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gVybuTz5 Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gd7VyQeh Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
#hiring *Biostatistician Quality Improvement (Full Time, Day shift)*, Miami, *United States*, fulltime #opentowork #jobs #jobseekers #careers #Miamijobs #Floridajobs #ScienceTechnology *Apply*: https://lnkd.in/gjKP5sq4 Description Job Summary Supports clinicians and collaborators by assisting with study design, data analysis, and results interpretation. Manages quality improvement projects and supports interpretation of large data sets. Provides project specific support for statistical analysis and validation. Job Specific Duties Provides data management, statistical analysis, and programming for ongoing and proposed studies including lab, quality improvement research, experimental, and observational studies. Collaborates with study teams and applies statistical, computational, and scientific expertise during the design, implementation, and reporting phases of these studies. Assists with the computation and written description of appropriate sample size, sampling, and randomization procedures. Provides primary statistical programming support to refine and implement planned statistical analyses. Manages analysis of datasets, statistical programs, and associated study documents to facilitate replication of results by colleagues & external reviewers. Participates in studies & assists with interpretation & communication of statistical analyses results, preparation of graphical & textual description results for papers, abstracts, & presentations. Provides educational sessions and training to medical trainees and PIs on basic statistical concepts. Qualifications Minimum Job Requirements Master's Degree in Public Health, Epidemiology or Statistics 1-3 years of experience with SAS base/advanced programming, SPSS, Minitab or similar quality improvement software Knowledge, Skills, and Abilities Biostatistician experience preferred Experience using statistical computer languages such Python or R to manipulate data and draw insights from large data sets Experience with using clinical databases such as KID, Vizient or PHIS preferred Prior experience with REDCap, PowerBI, Hadoop, SQL and SAP Business Objects preferred Knowledge of medical terminology; able to understand clinical data from medical records, such as diagnoses and procedure codes, APR-DRG codes, etc. Ability to assist in developing frameworks and processes to build areas of emphasis around Machine Learning and advanced predictive analytics Ability to assist with the development and implementation of innovative statistical approaches to solve complex analytical requirements Ability to function independently, keep track of multiple projects, work to meet specific deadlines, and document procedures is critical Detail oriented, highly motivated, and committed to achieving excellence in the form of productivity and publications Excellent communication and collaborat
To view or add a comment, sign in
-
A clinical data analyst, also known as a clinical data manager or clinical informatics analyst, is a professional who works with healthcare data to ensure its accuracy, quality, and utility in clinical research, healthcare delivery, and policy-making. Here are key aspects of the role: ### Responsibilities: 1. Data Collection and Management: Collect, organize, and manage clinical data from various sources, including electronic health records (EHRs), clinical trials, and patient registries. Ensure data integrity and accuracy through validation and quality control processes. 2. **Data Analysis:** Analyze clinical data to identify trends, outcomes, and insights that can improve patient care, clinical practices, and healthcare policies. Use statistical software and tools (e.g., SAS, R, Python) to conduct complex analyses. 3. **Reporting and Visualization:** Create detailed reports and visualizations to communicate findings to stakeholders, including clinicians, researchers, and healthcare administrators. Develop dashboards and other tools for ongoing data monitoring. 4. **Regulatory Compliance:** Ensure compliance with regulatory requirements (e.g., HIPAA, GDPR) and industry standards for data privacy and security. Maintain proper documentation and audit trails for data management activities. 5. **Collaboration:** Work closely with clinical researchers, healthcare providers, IT specialists, and other stakeholders to support clinical studies and healthcare initiatives. Participate in the design and implementation of clinical studies, including the development of data collection protocols. Skills and Qualifications 1.Educational Background: Typically requires a bachelor's degree in health informatics, biostatistics, computer science, or a related field. Advanced degrees (e.g., master's or Ph.D.) can be advantageous. 2. Technical Skills: Proficiency in statistical software (SAS, SPSS, R) and database management systems (SQL, Oracle). Experience with EHR systems and clinical data standards (e.g., CDISC, HL7). 3.Analytical Skills: Strong analytical and problem-solving skills to interpret complex data sets and derive meaningful insights. Ability to apply statistical methods and data modeling techniques. 4. Attention to Detail: Meticulous attention to detail to ensure data accuracy and integrity. 5. Communication Skills: Excellent written and verbal communication skills to effectively present data findings and collaborate with diverse teams. Career Path and Opportunities Entry-Level Positions: Data analyst, research assistant, or data coordinator. Mid-Level Positions: Clinical data manager, senior data analyst, or informatics specialist. Senior-Level Positions: Director of data management, chief data officer, or senior informatics officer.
To view or add a comment, sign in
-
-
🚀 Kickstart Your Career in Clinical SAS! Are you a student interested in healthcare, data analysis, or clinical research? Clinical SAS might be your path to an impactful career! It’s all about using SAS software to manage and analyze data from clinical trials, helping to bring safe, effective treatments to patients. Why Clinical SAS? Contribute to Healthcare: Play a role in advancing medical research. Gain In-Demand Skills: SAS expertise is highly valued in pharma and research. Join a Growing Field: Clinical research is expanding rapidly. Key Skills to Develop Statistics – Essential for interpreting clinical data. SAS Programming – For data management and analysis. Attention to Detail – Clinical data accuracy is crucial. Unlock opportunities in healthcare by learning Clinical SAS and make a real difference! #ClinicalSAS #HealthcareCareers #DataAnalysis #Students #ClinicalResearch #SASProgramming
To view or add a comment, sign in
-
Topic: Introduction to Becoming a Clinical SAS Programmer Description: Becoming a Clinical SAS Programmer is an exciting career path for those interested in data analytics and the healthcare industry. This role involves using SAS (Statistical Analysis System) to manage, analyze, and report clinical trial data, which plays a critical role in drug development and regulatory approvals. What is SAS? SAS is a powerful software suite used for data management, advanced analytics, and predictive modeling. Clinical SAS Programmers use it to create datasets, run statistical analyses, and generate reports based on clinical trial data. Key Responsibilities: A Clinical SAS Programmer’s responsibilities typically include: • Creating datasets following regulatory standards such as CDISC (Clinical Data Interchange Standards Consortium). • Programming to generate TLFs (Tables, Listings, and Figures) for clinical trials. • Collaborating with clinical teams and biostatisticians to ensure data accuracy and compliance with FDA or EMA guidelines. Educational Background: To become a Clinical SAS Programmer, having a degree in a relevant field such as statistics, biostatistics, computer science, life sciences, or a related discipline is essential. A strong understanding of statistics is important for interpreting clinical data accurately. Skills You Need: • Proficiency in SAS programming: You need to be comfortable working with data manipulation, procedures, and macros. • Knowledge of Clinical Trials: Understanding clinical research, trial phases, and regulatory requirements is crucial. • Attention to Detail: The clinical trial data needs to be handled with precision, as it impacts decisions for drug approvals. • Communication: You’ll be working with cross-functional teams, so being able to explain data findings is important. Certifications: Obtaining certifications, such as the SAS Certified Clinical Trials Programmer, can boost your employability by demonstrating expertise in both SAS programming and clinical trial processes. First Steps: 1. Learn SAS: Start by learning the basics of SAS through courses, tutorials, or certifications. 2. Understand Clinical Trials: Familiarize yourself with clinical trial processes, data standards (like CDISC), and regulatory guidelines. 3. Gain Experience: Internships or entry-level positions in data management or clinical research will give you practical experience. 4. Networking and Community: Join industry-specific groups, attend conferences, and connect with professionals in the field to learn and stay updated. Hashtags: #ClinicalSAS #SASProgramming #ClinicalTrials #DataScience #Biostatistics #ClinicalResearch #PharmaTech #HealthcareInnovation #SASAnalytics #ClinicalData #DrugDevelopment #ClinicalSASCareer #ClinicalProgrammer #LifeSciences #HealthcareData #RegulatoryCompliance
To view or add a comment, sign in
-