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. About Abbott At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. Thats why were 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. Were revolutionizing the way people monitor their glucose levels with our new sensing technology.? **What** **Youll** **Do:** **As a** **Data Scientist** **,** you will lead 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:** + Perform hypothesis-driven analysis of PWD user data from various sources (glucose monitors, medication delivery devices, activity trackers). + Utilize findings from data analysis to formulate product features for next generation decision support tools. + 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. + Develop standardized analysis methods and visualization dashboards for certain commonly structured datasets as well as bespoke methods for unique datasets + Define study endpoints, hypotheses and data analysis methods for human clinical trials. + 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 + Assist system engineers in system-level characterization/verification of complex systems.? + Communicate effectively with and participateon cross functional development teams with good negotiating skills to direct multi-disciplinary teams toward solutions.????????? + Responsible for utilizing and maintaining the effectiveness of the quality system. + Responsible for compliance with applicable Corporate and Divisional Policies and performing other duties as assigned by management. **Education and Experience You'll Bring** **Required** + Bachelors degree is Required + Minimum 6 years?of Product development experience in Engineering or physical science. + Experience in general engineering/science principals and laboratory skills. + Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements. + 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. + Ability to work on many subjects concurrently. **Preferred** + Advanced degree (Masters or Doctorate) is preferred. + Experience credit for advanced degrees beyond BS (2 years for Masters; 4 years for Doctorate). + Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is desired. + Significant experience with advanced data analysis of clinical or real world evidence data in either a medical device or pharmaceutical setting. + Demonstrated ability to translate data analysis findings into actionable outputs for product (or drug) development (eg: requirements, specifications, etc) + Significant experienceutilizingmachine learning techniques for problem solving. + MATLAB and Python proficiencyarehighly desired. + Able to perform proficiently under up-to-date regulatory requirements. **What We Offer** At 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?assistance?? + **Financial security** ?through competitive compensation, incentives and retirement plans?? + **Health care and well-being programs?** including medical, dental, vision, wellness and occupational health programs? + **Paid time** **off** ?? + **401(k)?** retirement savings with a generous company match? + **The stability of a company?** with a record of strong financial performance and history of being actively involved in local communities? **Learn more about our benefits that add real value to your life to help you live fully:??** www.abbottbenefits.com (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. 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. An Equal Opportunity Employer Abbot welcomes and encourages diversity in our workforce. We provide reasonable accommodation to qualified individuals with disabilities. To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

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 out of the Chicago, IL or 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 YOULL DO** + Conduct 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 YOULL BRING** **Required:** + Masters Degree in Data Science, Computer Science, Statistics, or a related field + 8-10 years of experience in a relevant industrial or academic setting. + 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 OFFER** At 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 assistance + **Financial security** through competitive compensation, incentives and retirement plans + **Health care and well-being programs** including medical, dental, vision, wellness and occupational health programs + **Paid time off** + **401(k)** retirement savings with a generous company match + **The stability of a company** with a record of strong financial performance and history of being actively involved in local communities 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. An Equal Opportunity Employer Abbot welcomes and encourages diversity in our workforce. We provide reasonable accommodation to qualified individuals with disabilities. To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

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. **WORKING AT ABBOTT** At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. Youll also have access to: + Career development with an international company where you can grow the career you dream of . + Free medical coverage for employees* via the Health Investment Plan (HIP) PPO + An excellent retirement savings plan with high employer contribution + Tuition reimbursement, the Freedom 2 Save (https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program and FreeU (https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelors degree. + A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. + A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. **About** **Lingo** Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers such as glucose, ketones, and lactate to help people make better decisions about their health and nutrition. Biowearable technology will digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health. **The opportunity** Personalized healthcare is the future. Working on Lingo, you will help build a next-generation technology that enables individuals to make decisions about how to improve energy, lose weight or enhance athletic performance. The Lingo team embodies a start-up culture and mindset with the backing of Abbott, a company with a rich history of healthcare innovation. Join us and grow your career as you help Abbott shape the future of healthcare. This position works out of our **Alameda, CA** location in Lingo. You will apply your strong expertise in artificial intelligence by using machine learning to design, prototype, and build next-generation advanced analytics engines and services. You will work closely with software engineers, data architects, designers, and product owners and develop predictive models using machine learning and other advanced analytics tools to increase and optimize customer experience, revenue generation, prospect targeting, and other business outcomes. **What youll do** + Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization + Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies + Analyze large amounts of data to discover trends and patterns, and build analytics models + Ensure the highest level of data accessibility, security, and quality at all stages; create automated anomaly detection systems and monitor their performance and model drift + Effectively communicate complex ideas and results to both technical and business/executive audiences + Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance + Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics data products **Qualifications** + 8+ years of relevant experience in the data science/analytics space + Strong expertise in Python and/or R as well as proficiency in writing complex SQL queries + Proficiency in using machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets + Strong hands-on experience and expertise in one or more big data technologies, i.e., Hadoop, Spark, H20.ai, cloud AI platforms, containerization + Experience supporting deployment, monitoring, maintenance, and enhancement of analytics models + Up-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective + High level of curiosity, creativity, and problem-solving capabilities **WHAT WE OFFER** At 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 assistance + Financial security through competitive compensation, incentives and retirement plans + Health care and well-being programs including medical, dental, vision, wellness and occupational health programs + Paid time off + 401(k) retirement savings with a generous company match + The stability of a company with a record of strong financial performance and history of being actively involved in local communities 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. 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. An Equal Opportunity Employer Abbot welcomes and encourages diversity in our workforce. We provide reasonable accommodation to qualified individuals with disabilities. To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

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Data Scientist Abbott Jobs

Principal Data ScientistMay 29, 2024

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Principal Data ScientistMay 18, 2024

Principal Data ScientistMay 17, 2024

Principal Data ScientistMay 10, 2024

Sr Data ScientistMay 8, 2024

Principal Data ScientistMay 7, 2024