Full Job Description
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.
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
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.
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.
EEO is the Law
EEO is the law - Poster Supplement
Pay Transparency Policy
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.