Job Description:
· Perform analysis of clinical studies and provide detailed statistical reports. Study designs include intervention, case/control, and longitudinal. · Patient Outcome Analysis – assist with study design, power calculations and other required to design an optimal plan. Identify requirements of software and computer support needed to carry out the projects. ·Analyze anonymized patient records and lab data to determine associations between biomarker measurements and patient outcomes using appropriate statistical methods · Analyze current database structure and work with clinical affairs, lab operations and R&D teams to design study methodologies utilizing BHD lab information system. · Utilize computational and statistical methods to determine associations, trends and other relevant data, including but not limited to longitudinal patient data, associations between specific biomarkers and population analyses. · Prepare data analysis and graphical representations of findings · Write papers for publication in peer-reviewed journals. Minimum qualifications: · Masters degree and other advanced study in statistics, applied mathematics or bioinformatics · Strong advanced statistical skills, with emphasis on ANOVA and design of experiments · Experience with unsupervised analysis: clustering or principal components analysis · Fundamental understanding of statistical models: general linear models, mixed effects models, Cox proportional hazard models, and classification models (e.g. naive Bayes, random forest) · Experience in study design suitable for publication · Ability to analyze large data sets · Computational skills appropriate to the study designs anticipated · Ability to perform longitudinal analysis Preferred qualifications: · PhD in statistics, applied mathematics or bioinformatics · Track record of relevant publications ·Algorithm design experience Additional skills required: -High proficiency in R studio statistical analysis software environment required, proficiency in Python preferred. Additional preferred skills: ·Ability to interface with a SQL server or laboratory information system (LIS) ·Competency with Linux ·Competency in other coding languages such as C#, C++, Python, or Java
Additional Info:
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· Perform analysis of clinical studies and provide detailed statistical reports. Study designs include intervention, case/control, and longitudinal. · Patient Outcome Analysis – assist with study design, power calculations and other required to design an optimal plan. Identify requirements of software and computer support needed to carry out the projects. ·Analyze anonymized patient records and lab data to determine associations between biomarker measurements and patient outcomes using appropriate statistical methods · Analyze current database structure and work with clinical affairs, lab operations and R&D teams to design study methodologies utilizing BHD lab information system. · Utilize computational and statistical methods to determine associations, trends and other relevant data, including but not limited to longitudinal patient data, associations between specific biomarkers and population analyses. · Prepare data analysis and graphical representations of findings · Write papers for publication in peer-reviewed journals. Minimum qualifications: · Masters degree and other advanced study in statistics, applied mathematics or bioinformatics · Strong advanced statistical skills, with emphasis on ANOVA and design of experiments · Experience with unsupervised analysis: clustering or principal components analysis · Fundamental understanding of statistical models: general linear models, mixed effects models, Cox proportional hazard models, and classification models (e.g. naive Bayes, random forest) · Experience in study design suitable for publication · Ability to analyze large data sets · Computational skills appropriate to the study designs anticipated · Ability to perform longitudinal analysis Preferred qualifications: · PhD in statistics, applied mathematics or bioinformatics · Track record of relevant publications ·Algorithm design experience Additional skills required: -High proficiency in R studio statistical analysis software environment required, proficiency in Python preferred. Additional preferred skills: ·Ability to interface with a SQL server or laboratory information system (LIS) ·Competency with Linux ·Competency in other coding languages such as C#, C++, Python, or Java
Requeriments :
Skills :
- Lunix/Unix
- Programing in C++
- Programing in Python
- Programming in C#
- Programming in Java
- Programming in R
- SQL
- Statistics
Additional Info:
[Click Here to Access the Original Job Post]