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. JOB DESCRIPTION: About Abbott At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That's why we're focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. What You'll Do: As a Data Scientist, you willlead the analysis and interpretation of numerous data sources (interventional clinical trial datasets, observational human studies and real world evidence) from people with diabetes (PWDs). Results will inform feature sets for products to help PWDs better manage their diabetes. The ideal candidate will be one who can effectively analyze source data sets and translate those findings into actionable insights that can be understood by cross functional stakeholders. More specifically, they will be expected to do the following: develop standardized analysis methods and dashboards for certain common datasets as well as bespoke methods for unique datasets, define and test hypotheses for each dataset, generate summary documents of results with recommendations, and lead translation of these recommendations into real-life embodiments for testing. The nature of this work is highly interdisciplinary, so the ideal candidate should value working with people from different professional backgrounds and be able to cultivate working cross-functional relationships. A strong working knowledge of the diabetes disease state (etiology, pathogenesis, progression and treatment) is highly preferred. Such a knowledge will allow the incumbent to more effectively understand datasets, define hypotheses and draw actionable conclusions. Responsibilities: <ul><li>Perform hypothesis-driven analysis of PWD user data from various sources (glucose monitors, medication delivery devices, activity trackers).</li><li>Utilize findings from data analysis to formulate product features for next generation decision support tools.</li><li>Effectively present findings and your own conclusions/recommendations to stakeholders of various backgrounds. Requires the ability to aggregate and simplify results into memorable "take home" messages.</li><li>Develop standardized analysis methods and visualization dashboards for certain commonly structured datasets as well as bespoke methods for unique datasets</li><li>Define study endpoints, hypotheses and data analysis methods for human clinical trials.</li><li>Participate in R&D initiatives to utilize time series data sets from multiple medical devices in the development of decision support algorithms for people with diabetes</li></ul> <ul><li>Assist system engineers in system-level characterization/verification of complex systems.</li><li>Communicate effectively with and participate on cross functional development teams with good negotiating skills to direct multi-disciplinary teams toward solutions.</li><li>Responsible for utilizing and maintaining the effectiveness of the quality system.</li><li>Responsible for compliance with applicable Corporate and Divisional Policies and performing other duties as assigned by management.</li></ul> Education and Experience You'll Bring Required <ul><li>Bachelor's degree is Required</li><li>Minimum 6 years of Product development experience in Engineering or physical science.</li><li>Experience in general engineering/science principals and laboratory skills.</li><li>Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements.</li><li>Experienced in one or more of the following: Electro-mechanical, software, mathematical, chemical or biochemical technologies as they pertain to the design, integration, evaluation and commercialization of diagnostic systems.</li><li>Ability to work on many subjects concurrently.</li></ul> Preferred <ul><li>Advanced degree (Master's or Doctorate) is preferred.</li><li>Experience credit for advanced degrees beyond BS (2 years for Master's; 4 years for Doctorate).</li><li>Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is desired.</li><li>Significant experience with advanced data analysis of clinical or real world evidence data in either a medical device or pharmaceutical setting.</li><li>Demonstrated ability to translate data analysis findings into actionable outputs for product (or drug) development (eg: requirements, specifications, etc)</li><li>Significant experience utilizing machine learning techniques for problem solving.</li><li>MATLAB and Python proficiency are highly desired.</li></ul> <ul><li>Able to perform proficiently under up-to-date regulatory requirements.</li></ul> What We Offer At Abbott, you can have a good job that can grow into a great career. We offer: <ul><li>Training and career development, with onboarding programs for new employees and tuition assistance</li><li>Financial security through competitive compensation, incentives and retirement plans</li><li>Health care and well-being programs including medical, dental, vision, wellness and occupational health programs</li><li>Paid time off</li><li>401(k) retirement savings with a generous company match</li><li>The stability of a company with a record of strong financial performance and history of being actively involved in local communities</li></ul> Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com Follow 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. The base pay for this position is $109,300.00 - $218,500.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: ADC Diabetes Care LOCATION: United States > Alameda : 1360-1380 South Loop Road ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 5 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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. JOB DESCRIPTION: 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 medical devices, diagnostics, nutritional, and branded generic medicines. Our goal is to improve the lives of more than 3 billion people by decade's end - reaching 1 billion more than we do today, each year. Our 113,000 colleagues serve people in more than 160 countries. THE OPPORTUNITY: This position works out of the Chicago, IL or Plano, TX or Sylmar, CA or Santa Clara, CA 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 DO <ul><li>Conduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.</li><li>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.</li><li>Monitor and track model performance, identify and address issues, and iterate on models for continuous improvement.</li><li>Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse real-world scenarios.</li><li>Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.</li><li>Create and maintain technical specifications and relevant documentation required to operate in a regulated medical device space.</li><li>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.</li><li>Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.</li><li>Stay up to date with latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions.</li></ul> EDUCATION AND EXPERIENCE YOU'LL BRING Required: <ul><li>Master's Degree in Data Science, Computer Science, Statistics, or a related field plus 8 years of experience in a relevant industrial or academic setting.</li><li>Proven expertise in data science methodologies and statistical techniques.</li><li>Strong knowledge of core machine learning concepts, algorithms, and techniques.</li><li>Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation.</li><li>Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL.</li><li>Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel.</li><li>Strong problem-solving and critical thinking skills.</li><li>Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders and collaborate effectively across teams.</li></ul> Preferred: <ul><li>Previous experience in healthcare technology or related fields.</li><li>Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).</li><li>Experience with healthcare data, including Electronic Health Records (EHR).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Familiarity with data privacy and security regulations, such as HIPAA.</li></ul> WHAT WE OFFER At Abbott, you can have a good job that can grow into a great career. We offer: <ul><li>Training and career development, with onboarding programs for new employees and tuition assistance</li><li>Financial security through competitive compensation, incentives and retirement plans</li><li>Health care and well-being programs including medical, dental, vision, wellness and occupational health programs</li><li>Paid time off</li><li>401(k) retirement savings with a generous company match</li><li>The stability of a company with a record of strong financial performance and history of being actively involved in local communities</li></ul> Learn more about our benefits that add real value to your life to help you live fully: http://www.abbottbenefits.com/pages/candidate.aspx Follow 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. JOB FAMILY: Research and Discovery DIVISION: MD Medical Devices LOCATION: United States > Chicago : Willis Tower Building 233 S Wacker Dr. ADDITIONAL LOCATIONS: United States > Santa Clara : 4551 Great America Parkway, United States > Sylmar : 15900 Valley View Court, United States > Texas > Plano : 6901 Preston Road WORK SHIFT: Standard TRAVEL: Yes, 10 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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. JOB DESCRIPTION: About Abbott At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That's why we're focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. What You'll Do: As a Data Scientist, you willlead the analysis and interpretation of numerous data sources (interventional clinical trial datasets, observational human studies and real world evidence) from people with diabetes (PWDs). Results will inform feature sets for products to help PWDs better manage their diabetes. The ideal candidate will be one who can effectively analyze source data sets and translate those findings into actionable insights that can be understood by cross functional stakeholders. More specifically, they will be expected to do the following: develop standardized analysis methods and dashboards for certain common datasets as well as bespoke methods for unique datasets, define and test hypotheses for each dataset, generate summary documents of results with recommendations, and lead translation of these recommendations into real-life embodiments for testing. The nature of this work is highly interdisciplinary, so the ideal candidate should value working with people from different professional backgrounds and be able to cultivate working cross-functional relationships. A strong working knowledge of the diabetes disease state (etiology, pathogenesis, progression and treatment) is highly preferred. Such a knowledge will allow the incumbent to more effectively understand datasets, define hypotheses and draw actionable conclusions. Responsibilities: <ul><li>Perform hypothesis-driven analysis of PWD user data from various sources (glucose monitors, medication delivery devices, activity trackers).</li><li>Utilize findings from data analysis to formulate product features for next generation decision support tools.</li><li>Effectively present findings and your own conclusions/recommendations to stakeholders of various backgrounds. Requires the ability to aggregate and simplify results into memorable "take home" messages.</li><li>Develop standardized analysis methods and visualization dashboards for certain commonly structured datasets as well as bespoke methods for unique datasets</li><li>Define study endpoints, hypotheses and data analysis methods for human clinical trials.</li><li>Participate in R&D initiatives to utilize time series data sets from multiple medical devices in the development of decision support algorithms for people with diabetes</li></ul> <ul><li>Assist system engineers in system-level characterization/verification of complex systems.</li><li>Communicate effectively with and participate on cross functional development teams with good negotiating skills to direct multi-disciplinary teams toward solutions.</li><li>Responsible for utilizing and maintaining the effectiveness of the quality system.</li><li>Responsible for compliance with applicable Corporate and Divisional Policies and performing other duties as assigned by management.</li></ul> Education and Experience You'll Bring Required <ul><li>Bachelor's degree is Required</li><li>Minimum 6 years of Product development experience in Engineering or physical science.</li><li>Experience in general engineering/science principals and laboratory skills.</li><li>Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements.</li><li>Experienced in one or more of the following: Electro-mechanical, software, mathematical, chemical or biochemical technologies as they pertain to the design, integration, evaluation and commercialization of diagnostic systems.</li><li>Ability to work on many subjects concurrently.</li></ul> Preferred <ul><li>Advanced degree (Master's or Doctorate) is preferred.</li><li>Experience credit for advanced degrees beyond BS (2 years for Master's; 4 years for Doctorate).</li><li>Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is desired.</li><li>Significant experience with advanced data analysis of clinical or real world evidence data in either a medical device or pharmaceutical setting.</li><li>Demonstrated ability to translate data analysis findings into actionable outputs for product (or drug) development (eg: requirements, specifications, etc)</li><li>Significant experience utilizing machine learning techniques for problem solving.</li><li>MATLAB and Python proficiency are highly desired.</li></ul> <ul><li>Able to perform proficiently under up-to-date regulatory requirements.</li></ul> What We Offer At Abbott, you can have a good job that can grow into a great career. We offer: <ul><li>Training and career development, with onboarding programs for new employees and tuition assistance</li><li>Financial security through competitive compensation, incentives and retirement plans</li><li>Health care and well-being programs including medical, dental, vision, wellness and occupational health programs</li><li>Paid time off</li><li>401(k) retirement savings with a generous company match</li><li>The stability of a company with a record of strong financial performance and history of being actively involved in local communities</li></ul> Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com Follow 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. The base pay for this position is $109,300.00 - $218,500.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: ADC Diabetes Care LOCATION: United States > Alameda : 1360-1380 South Loop Road ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 10 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Data Scientist Abbott Jobs

Data Scientist
April 23, 2024

Principal Data Scientist
April 21, 2024

Principal Data Scientist
April 19, 2024

Sr Data Scientist
April 16, 2024

Staff Data Scientist
April 16, 2024

Data Scientist
April 14, 2024

Sr Data Scientist
April 8, 2024

Data Scientist
April 8, 2024

Sr Data Scientist
April 3, 2024

Sr Data Scientist
March 29, 2024

Sr Data Scientist
March 28, 2024

Quick filters

Top companies

Data Scientist Abbott Jobs

Data ScientistApril 23, 2024

Principal Data ScientistApril 21, 2024

Principal Data ScientistApril 19, 2024

Sr Data ScientistApril 16, 2024

Staff Data ScientistApril 16, 2024

Data ScientistApril 14, 2024

Sr Data ScientistApril 8, 2024

Data ScientistApril 8, 2024

Sr Data ScientistApril 3, 2024

Sr Data ScientistMarch 29, 2024

Sr Data ScientistMarch 28, 2024