Doctorate degree in Life Science or Engineering OR Master’s degree in Life Sciences and/or Engineering (statistics, operations research, mathematics, systems engineering, industrial engineering) AND 3 years of directly related experience OR Bachelor’s degree Life Sciences and/or Engineering AND 5 years of relevant work experience in data analysis or related field (eg. as a statistician, data scientist, computational biologist, bioinformatician).
• Technical Skills
o Relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist, bioinformatician)
o Experience with statistical software, coding languages (e.g. R, MATLAB, SAS, Python, SIMCA-online) and database languages (e.g. SQL)
o Experience with statistical data analysis such as linear models, multivariate analysis, and stochastic models
o Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
o Demonstrated skills in selecting the right statistical tools given a data analysis problem
o Knowledge in Packaging processes and Device assembly
• General skills
o Excellent communication skills: oral and written. Interacts effectively with variety of communication and working styles.
o Fully bilingual in Spanish and English
o Demonstrated strong problem solving and conflict resolution
o Demonstrated leadership skills, initiative and self-motivation.
o Excellent time and project management skills to deliver projects on time and budget.
o Team player with strong negotiation skills to work with multidisciplinary teams that relies on collaboration for effective decision-making
o High quality and compliance mind set to work in a highly regulated GMP industry.
o Computer literacy (Windows environment: Word, Excel, Power Point) (Statistical analysis: Minitab, JMP, SAS)
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. Advises or assists others in experimental design and/or interpretation/diagnosis of data and implementing innovative remedies. Independently authors scientific reports, summary documents, complex regulatory documents, invention disclosure submissions and/or patents. Participates in external scientific community. May assume lead role in department-wide support efforts such as safety, recruiting and committees. May develop supervisory and mentoring skills. Develops and follows timelines for completing project team work.
Doctorate degree or Master’s degree and 3 years of directly related experience or Bachelor’s degree and 5 years of directly related experience or Associate’s degree and 10 years of directly related experience.
COMPETENCIES/SKILLS Advanced scientific analysis and troubleshooting skills.
Advanced laboratory work skills. Ability to motivate and/or supervise the activities of others.
Must be well organized, have multi-task project experience, and be able to communicate and work well with other departments. Must have demonstrated skills and competencies in the following areas: Verbal communication Written communication including technical writing skills, negotiation and conflict resolution Analytical problem solving Project management Ability to be flexible and manage change. Computer literacy (Windows environment: Word, Excel, Power Point). Skills requiring the application of scientific theory. Creative skills in the design and performance of scientific experiments and interpretation of results. Strong knowledge of cGMP’s. Fully bilingual (English/Spanish).