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:
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:
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.
For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
This position works out ofourSanta Clara or Sylmar, CA locations with our Global Data Science & Analytics team with the Abbott Medical Device business. You will be responsible for working on complex problems in the field of life-saving implantable medical devices. You will work with different types of data, developing creative ways to analyze and present your results. You will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects. As a key member of the team, you will develop solutions to curate and analyze large quantities of medical data.You will work on projects that quantify real-world clinical and economic outcomes of life-saving therapies used in chronic disease states. You will collaborate effectively with internal stakeholders and cross-functional teams. You will present solutions and insights in concise and effective manner to technical and non-technical audiences. You will work on a diverse team with scientists, analysts, engineers, and physicians on a variety of projects and act as a subject matter expert for data science. You will support preparation of scientific conference presentations and publications.
Main responsibilities will include:
Curating and analyzing complex healthcare data (such as insurance claims, electronic health records, imaging data, medical device data, etc)
Translating real-world observations into clinical actionable insights using precision medicine, phenotyping, machine learning, and artificial intelligence
Applying scientific knowledge on data modeling, data analytics, predictive algorithms, and other data science principles
Strategy and Communication
Ph.D. and 2+ years of experience or MS and 5+ years of experience in biomedical engineering, health sciences, bioinformatics, data science, computer science or related field
Experience with analytical software tools such as R, SAS, Python, SQL. Familiarity with cloud platforms such as Databricks is a plus
The base pay for this position is
$86,700.00 – $173,300.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Clinical Affairs / Statistics
DIVISION:
MD Medical Devices
LOCATION:
United States > Sylmar : 15900 Valley View Court
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes, 5 % of the Time
MEDICAL SURVEILLANCE:
No
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.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
