Abbott Laboratories
Principal Data Scientist
Abbott Laboratories, Chicago, Illinois, United States, 60290
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.THE OPPORTUNITY:This position works is open to our Chicago, IL, St Paul, MN, Princenton, NJ, and Plano, TX locations in the Medical Devices Digital Solutions organization. Abbott Medical Devices, with revenue of >$16.5B in 2023, is a global leader in providing life changing technology for the management and treatment of people living with chronic conditions including Diabetes, Cardiovascular disease, Chronic Pain, and Movement Disorders.The
Principal Data Scientist, Digital Solutions
reports to the Head of Technology, Digital Solutions.
The
Principal Data Scientist role
will
closely work with cross-functional product teams and
responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets. The
Principal Data Scientist
role
will exhibit a sense of inquisitiveness and a creative mind to uncover novel opportunities that will directly contribute to enhancing the quality of patient care and the development of innovative medical devices and therapy solutions.WHAT YOU’LL DOConduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.Monitor and track model performance, identify and address issues, and iterate on models for continuous improvement.Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse real-world scenarios.Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.Create and maintain technical specifications and relevant documentation required to operate in a regulated medical device space.Work closely with the cross functional technical and non-technical stakeholders and teams to understand (business / clinical) domain complexity, explain application of complex machine learning concepts and translate into technical solutions.Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.Stay up to date with latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions.EDUCATION AND EXPERIENCE YOU’LL BRINGRequired:Master’s Degree in Data Science, Computer Science, Statistics, or a related field8-10 years of experience in a relevant industrial or academic setting.Experience in the Life Science Industry.Proven expertise in data science methodologies and statistical techniques.Strong knowledge of core machine learning concepts, algorithms, and techniques.Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation.Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL.Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel.Strong problem-solving and critical thinking skills.Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders and collaborate effectively across teams.Preferred
:Previous experience in healthcare technology or related fields.Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).Experience with healthcare data, including Electronic Health Records (EHR).Experience with data visualization tools (e.g., Tableau, Power BI).Familiarity with data privacy and security regulations, such as HIPAA.WHAT WE OFFERAt Abbott, you can have a good job that can grow into a great career. We offer:Training and career development
, with onboarding programs for new employees and tuition assistanceFinancial security
through competitive compensation, incentives and retirement plansHealth care and well-being programs
including medical, dental, vision, wellness and occupational health programsPaid time off401(k)
retirement savings with a generous company matchThe stability of a company
with a record of strong financial performance and history of being actively involved in local communitiesLearn more about our benefits that add real value to your life to help you live fully:
http://www.abbottbenefits.com/pages/candidate.aspxFollow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.Connect with us at
www.abbott.com
, on Facebook at
www.facebook.com/Abbott
and on Twitter @AbbottNews and @AbbottGlobal.TRAVEL:Yes, 10 % of the Time
The base pay for this position is $109,300.00 – $218,700.00. In specific locations, the pay range may vary from the range posted.
#J-18808-Ljbffr
Principal Data Scientist, Digital Solutions
reports to the Head of Technology, Digital Solutions.
The
Principal Data Scientist role
will
closely work with cross-functional product teams and
responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets. The
Principal Data Scientist
role
will exhibit a sense of inquisitiveness and a creative mind to uncover novel opportunities that will directly contribute to enhancing the quality of patient care and the development of innovative medical devices and therapy solutions.WHAT YOU’LL DOConduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.Monitor and track model performance, identify and address issues, and iterate on models for continuous improvement.Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse real-world scenarios.Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.Create and maintain technical specifications and relevant documentation required to operate in a regulated medical device space.Work closely with the cross functional technical and non-technical stakeholders and teams to understand (business / clinical) domain complexity, explain application of complex machine learning concepts and translate into technical solutions.Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.Stay up to date with latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions.EDUCATION AND EXPERIENCE YOU’LL BRINGRequired:Master’s Degree in Data Science, Computer Science, Statistics, or a related field8-10 years of experience in a relevant industrial or academic setting.Experience in the Life Science Industry.Proven expertise in data science methodologies and statistical techniques.Strong knowledge of core machine learning concepts, algorithms, and techniques.Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation.Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL.Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel.Strong problem-solving and critical thinking skills.Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders and collaborate effectively across teams.Preferred
:Previous experience in healthcare technology or related fields.Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).Experience with healthcare data, including Electronic Health Records (EHR).Experience with data visualization tools (e.g., Tableau, Power BI).Familiarity with data privacy and security regulations, such as HIPAA.WHAT WE OFFERAt Abbott, you can have a good job that can grow into a great career. We offer:Training and career development
, with onboarding programs for new employees and tuition assistanceFinancial security
through competitive compensation, incentives and retirement plansHealth care and well-being programs
including medical, dental, vision, wellness and occupational health programsPaid time off401(k)
retirement savings with a generous company matchThe stability of a company
with a record of strong financial performance and history of being actively involved in local communitiesLearn more about our benefits that add real value to your life to help you live fully:
http://www.abbottbenefits.com/pages/candidate.aspxFollow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.Connect with us at
www.abbott.com
, on Facebook at
www.facebook.com/Abbott
and on Twitter @AbbottNews and @AbbottGlobal.TRAVEL:Yes, 10 % of the Time
The base pay for this position is $109,300.00 – $218,700.00. In specific locations, the pay range may vary from the range posted.
#J-18808-Ljbffr