Data Scientist

Job Description:
The person in this role will carry out statistical analyses to produce publishable studies demonstrating clinical outcomes for testing.

Key responsibilities:

Perform analysis of clinical studies and provide detailed statistical reports. Study designs include intervention, case/control, and longitudinal.

Skills and qualifications:

-Master's degree or other advanced study in statistics, applied mathematics, or bioinformatics required.

-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

· Assist lab operations with assay validation and QA support

· Create data files for R&D department and provide detailed statistical analysis.

· Create intuitive and compelling data visualizations for Health Care Practitioners.

· 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

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 :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in Statistics

Skills :

• Biomarker Discovery
• Lunix/Unix
• Programing in C++
• Programing in Python
• Programming in C#
• Programming in Java
• Programming in R
• SQL
• Statistics

Areas :

• Bioinformatics

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