Associate Data Scientist Co-op — New York

This is where  your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride.  The Associate Data Scientist Co-op will work closely with the R&D team to explore the potential of utilizing data for intelligent algorithms for healthcare. We do Machine learning and data science, and use Data engineering, DevOps, and good software engineering methods for designing great products. Responsibilities: • Knowledge in Transformers, LLM, and related technologies • Knowledge of Machine learning is a requirement for this role—the ability to understand the ML algorithms and implement them / use the ML state-of-the-art techniques for solving our day-to-day problems. • A deep understanding of ML techniques and ML platforms is an added advantage. • Knowledge of Data Engineering, Big Data, cloud, Kubernetes, etc, would be helpful. • Knowledge in DevOps, MLops, Kubernetes, Docker, containers, CI/CD, Azure, or related cloud technologies. • Literature review on the state-of-the-art techniques and algorithms on retina image analysis for disease detection and screening. • Experiment and build algorithm prototypes using the above data for potential applications. Other Details: • Able to write code/scripts in Python (preferably), or any other programming languages, like Java, C#, etc. • Perform Data analytics on the existing data collections for different application needs. • Collect Data further as needed and organize the data for future easy use. • Document all the work and document the data sets. • Ability to learn quickly and communicate effectively with team members. • Knowledge in the DevOps/ microservices area is good to have but not a requirement. Qualifications Looking for Master's or Phd students with the below skillset: • Knowledge in Transformers, LLM, and related technologies • Knowledge of Machine learning is a requirement for this role—the ability to understand the ML algorithms and implement them / use the ML state-of-the-art techniques for solving our day-to-day problems. • A deep understanding of ML techniques and ML platforms is an added advantage. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits | Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice .