Summer 2024 Intern- R&D Data Science
Johns Creek Research – JCR
Alcon
Our mission is to provide innovative vision products that enhance quality of life by helping people see better. From vision research to eye health, learn more at Alcon.com.About Alcon:
As the global leader in eye care, Alcon has built a rich history of providing innovative products to customers and patients all over the world. We’re extremely proud of our legacy and the significant way we’ve helped to shape the industry over the last 70 years, but we’re just getting started. Our relentless passion to eliminate unmet medical needs drives our pursuit to further advance eye health worldwide. We’re looking for exceptionally talented, driven people who want to make a difference. We help people see brilliantly. We care for and delight our customers. We pursue and drive innovation. We care for and inspire our people. We do this through our values and behaviors: We deliver results and our best in all we do. We do the right things in the right way. We create, enhance, and transform. We take a stand and speak up. We succeed together. We unleash the full potential of our people. If you’d like to help us change the way the world sees, this is your chance to Be Brilliant!
Position Description:
The Alcon R&D team is looking for numerous talented and motivated Engineering interns to join us onsite for 10-12 weeks in Summer 2024 at the Johns Creek, GA location. Alcon interns will have the opportunity to not only gain industry experience and network with other Alcon professionals, but will also have the chance to make a real-world impact by working on meaningful projects that will help patients and customers see brilliantly. Alcon also offers interns personal and professional development, high visibility and coaching and mentoring opportunities.
Job Description: Johns Creek, Georgia, United States (On-site)
The intern will work towards developing an AI based digital solution strategy that provides accurate & useful personized product and/or treatment recommendations. The intern will develop novel AI prediction models that make data driven product and/or treatment recommendations using personalized consumer information (e.g., lifestyle & preferences questionnaire responses and ocular biometric image & video clinic measurements). Furthermore, the internship will support development of unique methods on how to best deliver these product recommendation AI models into digital solutions that are preferred by our consumers. Preferred skillset for the intern include, (i) proficiency in data science programing languages (e.g., Python, R), (ii) experience with developing machine learning and/or deep learning prediction models, and (iii) familiarity with cloud services (e.g. AWS Sagemaker). Expected workplan for the intern may include, but not limited to, the following:
1. Perform literature search & review novel approaches that provide personalized product and/or treatment selections & recommendations using machine learning modeling.
2. Evaluate “state-of-the-art” digital solution approaches that can best provide personalized product and/or treatment recommendations.
3. Create effective data management & storage techniques that allows for faster & easier access to data.
4. Collate and pre-process multiple independent data sources to enable many different AI prediction models to be quickly created, tested, and validated.
5. Determine & recommend of machine learning prediction models & digital solution approaches.
Minimum Qualifications:
Must be enrolled in an accredited university or college for at least one semester prior to internship, and at least one additional semester following your internship.
Must be pursuing at least a PhD/ Masters, Bachelors' (last semester) degree in Data Science, Computer Science, Physics, Mathematics, Statistics, or Engineering
Academic performance: Minimum cumulative GPA 2.8/4.0
Demonstrated leadership skills (i.e. extracurricular activities or projects)
Must be authorized to work in the US on a permanent basis. Students on an F1 visa with CPT work authorization may be accommodated.
Ability to commit to a 10–12-week, full time (40 hrs. per week) summer internship
ATTENTION: Current Alcon Employee/Contingent Worker
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.
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Total Rewards
Alcon’s Total Rewards programs are designed to align to incentives with business goals, encourage the right values and behaviors, and deliver long-term value. The first layer of our rewards program is compensation. We offer a combination of fixed pay and variable pay, which includes short-term incentives, and long-term incentives for eligible population. Our benefits program provides security for life events through life and disability insurance, supports savings for retirement, promotes good health and well-being and supports associates and their families during times of illness. To learn more about Alcon’s Corporate Social Responsibility including our Total Rewards, click here
Pay Range
$0.00 - $45.00
Pay Frequency
Hourly
Alcon is an Equal Opportunity Employer and participates in E-Verify. Alcon takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.
Tags: AWS Computer Science Data management Deep Learning Engineering Machine Learning Mathematics PhD Physics Python R R&D SageMaker Security Statistics
Perks/benefits: Career development Health care Insurance Team events
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