Description

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. Under general guidance of supervisor,

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. May introduce advanced scientific methods. Develops and implements new and novel protocols to address specific issues. May represent the department on project teams under supervision of a senior scientific staff member. May initiate productive collaborations within and outside of the department or company.

Preferred Qualifications

• Life Sciences and/or Engineering (statistics, operations research, mathematics, systems engineering, industrial engineering)
• Relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist, bioinformatician)
• 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
• Demonstrated skills in selecting the right statistical tools given a data analysis problem
• Data system knowledge – OSIsoft PI / Spotfire/ OVDAS

Education & Experience

• Doctorate degree or Master degree and 5 years of Scientific experience or Bachelor degree and 6 years of Scientific experience

Job Type: Full-time

Schedule:

• 8 hour shift
• Monday to Friday
• Weekend availability

Education:

• Bachelor's (Required)

Experience:

• Data System: 5 years (Preferred)
• Statistical software: 5 years (Preferred)

Language:

• English (Required)

Willingness to travel:

• 100% (Preferred)

Work Location: In person

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