This position is posted from an outside job board or employer website for the convenience of Yale students. Please note this position was not posted directly at Yale by the employer, and therefore the employer has not reviewed or agreed to any of Yale’s recruiting policies: https://ocs.yale.edu/ocs-policies/. The University does not endorse or recommend employers, and a posting does not constitute an endorsement or recommendation. The University makes no representations or guarantees about job listings or the accuracy of the information provided by the employer. The University is not responsible for safety, wages, working conditions, or any other aspect of off-campus employment. It is the responsibility of students to perform due diligence in researching employers when applying for or accepting opportunities.
Wondering what’s within Beckman Coulter? Take a closer look.
Join a team where you can be heard, be supported, and always be yourself. At Beckman Coulter, a Danaher company, we’re building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. At first glance, you’ll see we are dedicated to advancing and optimizing the laboratory to move science and health care forward for more than 80 years. Look again and see we are invested in you and the opportunity to create a meaningful career, be creative, and try new things.
And no matter where you look at Beckman Coulter, at the heart of what we do, you’ll witness our shared purpose-helping realize life’s potential-in action. Our work helps improve millions of lives.
We hope you’ll see yourself here, too. What you find at Beckman Coulter-and within yourself- might just change the world!
The Data Science Intern will be working with the Software and Systems team responsible for the Next Generation IVD instrument development. You will be able to apply your analytical and data science skills to analyze the instrument telemetry data, build machine leaning models and implement data pipelines using Azure cloud Services. The results of your research will contribute directly to our products, providing improvements to healthcare around the globe. If you are looking for an impactful internship opportunity, read on!
In this role, you will have the following opportunities:
Work on a project under the direction of a mentor and in collaboration with other highly talented data and software engineers
Analyze data, build machine learning models, and build data pipelines to provide insights into instrument performance and behaviors
Provide regular updates covering progress, problems and solutions.
Propose new and creative data analytics use cases
Document your findings and present your work to the team at the end of the summer
The basic qualifications include:
Pursuing Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
Programming skills (e.g, R, Python, SAS or other) for data manipulation, analysis and visuals
General understanding of statistical concepts (e.g, ANOVA, mixed models, time series, machine learning)
Minimum GPA of 3.0 on a 4.0 scale
Good analytical and problem-solving skills.
Strong documentation, communication, and interpersonal skills
Beckman Coulter offers a broad array of comprehensive, competitive benefit programs that add value to associates’ and their families’ lives. Whether it’s a health care program, 401K match or paid time off, our programs contribute to life beyond the job.
Beckman Coulter is a Danaher Operating Company. At Danaher, we’re driven by a sense of wonder for what we can create-and what we can become. Here, you’ll accelerate your career while driving innovation that improves lives. You’ll work hard and do things differently, with mentorship from committed leaders, powerful DBS tools, and the support of a global organization.
Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 202-419-7762 or email firstname.lastname@example.org to request accommodation.
Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .