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Engineering Specialist - Data Science

Req #: JR - 037275 Location Deerfield, Illinois, United States Job Category: Research and Development Date Posted: 04/05/2021

Overview

This is where new knowledge is discovered. Baxter’s Research and Development teams work cross functionally to innovate, develop and introduce creative solutions for patients needs globally. From Scientists to Engineers, your work creates the products that save and sustain lives.

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  • Paid Time Off

  • 2 Days a Year to Volunteer

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Success Profile

What makes a successful Research and Development team member at Baxter? Take a look at some of the top traits we’re looking for and see if you’re a fit.

  • Courage
  • Action Oriented
  • Collaborates
  • Cultivates Innovation
  • Manages Ambiguity
  • Drives Results

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Engineering Specialist - Data Science

This is where you save and sustain lives

At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You’ll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients. 

Baxter’s products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.

Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work. 

Join us at the intersection of saving and sustaining lives— where your purpose accelerates our mission. 

Summary:
Being the market leader in Home Dialysis, at Baxter Renal Care, we are building Next generation Data Analytics and AI platforms and solutions to further enhance remote home Dialysis therapy efficiency and effectiveness and patient and clinicians experience by connecting patients at home and clinicians at hospitals/clinics, and integrating data across the Healthcare eco system.

This Senior Data Scientist will work in collaboration with the clinical and system domain experts in understanding and building the problem statements and hypotheses to address the patient and clinical unmet needs. Additionally, will define strategy for data collection, integration, mining and processing for building analytics, predictive algorithms and models, building and testing the AI & ML based algorithms and models addressing the problem statements. This position will work alongside Regulatory and Quality specialists for pre market approvals of the AI & ML Models. Collaborate with clinicians and key opinion leaders to validate and improvise the model performance. Lastly, the Senior Data Scientist will partner with commercial specialists in building productization strategy for the AI & ML models.

Essential Duties and Responsibilities:

  • Understanding, defining and building strategy for Data Collection, Integration and Storage.
  • Data mining using state-of-the-art methods
  • Collaborate with Data Engineers to enhance data collection, ingestion and curation to build analytics systems
  • Processing, cleansing and verifying integrity of data for the analysis
  • Selecting features, building and optimizing predictive algorithms and classifiers using machine learning and deep learning techniques
  • Validate the models against hypotheses and problem statements both in-house lab and in clinical collaboration
  • Develop processes and tools to monitor and analyze model performance, data accuracy and life cycle management of the predictive models.
  •  Work in collaboration with Commercial experts in building productization strategy
  • Prepare and present in senior leadership technical reviews

Qualifications:

  • Master’s degree or PhD in Computer Science with Specialization in Data Science (or) Statistics (or) related field with 12+ years of experience in Healthcare (or) relevant industry working on data and building predictive algorithms and models with focus on product development.
  • Experience in statistical modelling, machine learning, deep learning, data mining, structured and unstructured data analytics and natural language processing.
  • In depth understanding and strong hands on experience in building both supervised and unsupervised algorithms using Neural Networks and Deep Learning
  • Hands on working experience in - Bayesian Modelling, Classification Models, Cluster Analysis, Recommendation Systems, Neural Networks and Deep Learning etc
  • Demonstrated experience in ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and Ensemble Techniques like Random Forest, AdaBoost etc.
  • Strong knowledge on Data Wrangling and Exploration Techniques to identify the patterns, trends and outliners.
  • Deep Knowledge and practical experience with data science toolkits – Example: R, MATLAB, NumPy, Pandas etc.
  • Understanding of Bio Design Process
  • Experience in generating Intellectual Property – Patents, Publications, Trade Secrets etc.
  • ETL Scripting and programming skills such as Python
  • Experience with data visualization tools and working knowledge with databases like Hadoop, AWS Redshift, Snowflake etc.
  • Understanding of end to end product development life cycle, preferably medical devices.

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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.

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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.

Hear from Our Employees

Our company is enriched by a diverse population of individuals in more than 100 countries that work to solve, innovate, manufacture and drive better healthcare options for patients around the world.

Meet Reagan, Senior Research Scientist in the United States

"For me, the best thing about working at Baxter is being able to do work that’s important to people—especially patients—outside of Baxter's walls. Inside our walls, I get to work with a fantastic team, and we know we're making a difference."

Reagan

Meet Karthik, Director of Renal Care R&D - Digital Health & Co-President of the Asian Leadership Network Business Resource Group, United States

"I’m excited about my role because I believe that digital initiatives can make a tremendous impact on lives by allowing people to access the same therapies and have similar care — whether in a hospital, a healthcare clinic, or the patient’s home — anywhere in the world."

Karthik

Meet Amitha, Research Associate in India

"Coming from a non-healthcare academic background, my current role has offered ample opportunities to learn a lot of new things. Leaders at Baxter are motivating, help us grow and provide a collaborative environment. The role gives me opportunities to have technical discussions with peers and subject matter experts globally, to learn interacting with customers, and manage project deadlines and deliverables. I am excited about shaping my career here at Baxter."

Amitha

Hear from Our Employees

Our company is enriched by a diverse population of individuals in more than 100 countries that work to solve, innovate, manufacture and drive better healthcare options for patients around the world.

Reagan

Meet Reagan, Senior Research Scientist in the United States

"For me, the best thing about working at Baxter is being able to do work that’s important to people—especially patients—outside of Baxter's walls. Inside our walls, I get to work with a fantastic team, and we know we're making a difference."

Karthik

Meet Karthik, Director of Renal Care R&D - Digital Health & Co-President of the Asian Leadership Network Business Resource Group, United States

"I’m excited about my role because I believe that digital initiatives can make a tremendous impact on lives by allowing people to access the same therapies and have similar care — whether in a hospital, a healthcare clinic, or the patient’s home — anywhere in the world."

Amitha

Meet Amitha, Research Associate in India

"Coming from a non-healthcare academic background, my current role has offered ample opportunities to learn a lot of new things. Leaders at Baxter are motivating, help us grow and provide a collaborative environment. The role gives me opportunities to have technical discussions with peers and subject matter experts globally, to learn interacting with customers, and manage project deadlines and deliverables. I am excited about shaping my career here at Baxter."

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