PD Scientist (Data Analysis) ID 35239

Inteldot • Juncos, PR

5d

About The Position

To conceive, design, implement and execute specific scientific experiments, which contribute to the successful completion of goals and/or projects under general guidance of supervisor.

Requirements

• Relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist)
• Work with large, complex data sets.
• Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct end-to-end analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables, and presentations
• Experience with statistical software (e.g. R, MATLAB, SAS, Jump, Minitab) and database languages (e.g. SQL)
• Experience with statistical data analysis such as linear models, multivariate analysis, and stochastic models
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
• Data system knowledge – OSIsoft PI / Spotfire/ OVDAS
• Doctorate or master + 2 years of Scientific experience or Bachelors + 4 years of Scientific experience.
• Life Sciences or Engineering (statistics, mathematics, systems engineering, industrial engineering, computer science, or related field experience)

Responsibilities

• Conceives and designs, executes or evaluates, and interprets experimental strategies.
• Provides input to new processes to generate robust and reliable data.
• Ensures that studies are conducted in compliance with the respective protocol and applicable guidelines and regulations.
• Designs, monitors or conducts experimental strategies with general guidance from supervisor.
• Provides data analysis and interpretation and assesses impact of the data on the project.
• Keeps current in field of scientific expertise and areas relevant to their function.
• Monitors field of expertise, including literature and technology development, and communicates relevant observations.
• Represent the department on project teams under supervision of a senior scientific staff member.
• Initiate productive collaborations within and outside of the department or company.
• Advises or assists others in experimental design and/or interpretation/diagnosis of data and implementing innovative remedies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level