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 115,000 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. You’ll 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 student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s 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.

　　The Opportunity

　　This position works out of our Pleasanton, California location in the Heart Failure Division. In Abbott’s Heart Failure (HF) business, we’re developing solutions to diagnose, monitor and manage heart failure, allowing people to restore their health and get on with their lives.

　　As a Staff Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Heart Failure initiatives. You will be responsible for designing, developing, and deploying advanced data science solutions to extract valuable insights from large and complex datasets. As a key member of our team, you must be capable of exhibiting a sense of inquisitiveness and a creative mind to uncover 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 Work On

　　Data Analysis and Modeling:

　　Conduct exploratory data analysis to understand trends and patterns.

　　Collaborate with cross-functional teams to define project objectives.

　　Utilize large datasets from various sources, including medical devices and phenotype data.

　　Machine Learning and Statistical Analysis:

　　Develop and refine features for predictive modeling, ensuring that relevant clinical variables are incorporated effectively.

　　Build and validate predictive models for clinical outcomes, patient risk assessments, and other relevant applications, using appropriate machine learning algorithms.

　　Evaluate and optimize models for accuracy and performance.

　　Clinical Insights:

　　Collaborate closely with cross-functional teams, including medical experts, clinical research scientists, and engineers to identify clinically significant insights and patterns within the data.

　　Understanding of physiological systems and therapies in the cardiovascular space is a plus

　　Data Visualization:

　　Create informative data visualizations and dashboards to communicate findings and insights to non-technical stakeholders.Data Governance:

　　Implement data governance best practices to ensure data quality, integrity, and compliance with relevant regulations, such as HIPAA.Research and Innovation:

　　Stay updated with the latest developments in data science and machine learning to continually improve data analysis methodologies and techniques.

　　Identify opportunities for innovation and propose data-driven solutions.

　　Collaboration:

　　Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.Documentation:

　　Maintain comprehensive documentation of data analysis processes, methodologies, and findings.

　　Required Qualifications

　　Bachelor’s Degree in Data Science, Computer Science, Statistics, or a related field plus 8 years of experience.

　　Master’s Degree in Data Science, Computer Science, Statistics, or a related field plus 6 years of experience.

　　Proven experience in data analysis and modeling, preferably in the medical device or healthcare industry.

　　Proficiency in programming languages such as Python or R.

　　Strong knowledge of machine learning algorithms, statistical techniques, and data visualization.

　　Experience with healthcare data, including Electronic Health Records (EHR), is a plus.

　　Excellent communication skills and the ability to translate technical findings into actionable insights for non-technical stakeholders.

　　Strong problem-solving skills and attention to detail.

　　Familiarity with data privacy and security regulations, such as HIPAA.

　　Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

　　Ability to work collaboratively in a fast-paced, cross-functional team environment.

　　Preferred Qualifications

　　Master’s Degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.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. You’ll 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 bachelor’s 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.

　　The Opportunity

　　The Senior Staff Systems Engineer will be accountable for delivering system verification across the full CardioMEMS system in support of multiple ongoing projects. This role ensures the logical and systematic verification of system level design input and performance requirements accounting for technical, schedule, and cost constraints. You will be applying an expert understanding of applications, customer needs and use, verification best practices, test tools, and sub-system verification to streamline design verification.

　　Primary Responsibilities:

　　Lead verification projects with significant novelty and integration across various disciplines and team members. Apply a portfolio-centric approach to developing programs and verification solutions.

　　Build and improve system verification processes and methods for the CardioMEMS system of devices, which includes implanted MEMS devices, external medical electrical equipment devices, database and software-based products, and mobile application products.

　　Identify and implement tools, fixturing, testing automation methods, and other resources necessary for system verification.

　　Plan, develop, and execute system verification based on established system requirements, as an individual contributor and as a leader directing other test engineers.

　　Drive review and optimization of project-wide and cross-project verification efforts to ensure adequate coverage, minimize duplication, and increase transparency and understanding of system verification versus sub-system verification versus other types of testing.

　　Contribute to and support gathering, analyzing, and reviewing system level and sub-system requirements.

　　Develop, write, and review test plans, procedures, methods, and reports with excellent writing skills.

　　Foster collaboration with cross-functional teams and other leaders to drive work to completion and resolve issues. Successfully influence stakeholders. Communicate effectively with cross-functional teams and senior management. Keeps leadership informed of progress and issues.

　　Organize and manage work to deliver programs, leads in the execution of assigned work. Prioritize tasks by distinguishing urgent from important tasks and assess cost/benefit trade-offs.

　　Develop and apply an expert understanding of designated systems as well as serve as a subject matter expert for the development team regarding behaviors, implementation, system and sub-system verification methodologies, and the applicable technologies required to solve problems and deliver upon business objectives. Participate in broad cross-functional reviews of work output.

　　Apply industry best practices and applicable regulations to work area.

　　Comply with U.S. Food and Drug Administration (FDA) regulations, other regulatory requirements, Company policies, operating procedures, processes, and task assignments.

　　Required Qualifications:

　　Bachler’s Degree in Engineering (Computer, Electrical, Software, or Biomedical), Computer Science, or related discipline

　　9+ years of experience in a similar position, including system verification and validation, systems integration experience, and/or end-to-end (ideation to commercialization) technical product development experience

　　Experience leading and managing other engineers to complete project work

　　Experience working in new product development of medical device industry

　　Excellent verbal and written communication skills, with ability to communicate to all levels of the organization

　　Ability to work within a team and as an individual contributor in a fast-paced, changing environment

　　Ability to collect, organize, and analyze data using statistical methods

　　Preferred Qualifications:

　　Advanced degree in Engineering (Computer, Electrical, Software, or Biomedical), Computer Science, or related discipline with 10 years of work experience

　　Experience and expertise with systems consisting of hardware, software, mobile app, and cloud components

　　Experience and expertise with systems with RF, electromagnetics, ASICs, Bluetooth, and NFC technologies

　　Class III implantable medical device experience

　　Demonstrated ability to effectively integrate information from varied disciplines including Clinical Medicine, Engineering, Marketing and Regulatory Affairs

　　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 $95,000.00 – $190,000.00. 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 [email protected]