Director, Clinical Insights Development
United States - Pleasanton : 6101 Stoneridge Dr, United States
Full Time Executive-level / Director USD 169K - 338K
Abbott
Innovative medical devices and health care solutions for cardiovascular health, diabetes management, diagnostic testing, nutrition, chronic pain and more.
JOB DESCRIPTION:
Job Title
Director, Clinical Insights Development
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
An excellent retirement savings plan with a 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This position works out of the Pleasanton, CA location in the Heart Failure business within Abbott Medical Devices. Abbott Medical Devices is a global leader in providing life-changing technology for the management and treatment of people living with Heart Failure. We have an exciting opportunity for the right candidate to join our Global Clinical and Regulatory Affairs team within the Heart Failure Division (HFD) as the Director of Clinical Insights Development. This role will focus on developing and executing strategies to generate clinical insights from large internal and external data to drive personalized diagnostic and therapeutic approaches for heart failure by collaborating closely with internal stakeholders (R&D, Marketing, Clinical Affairs, Medical Affairs, Reimbursement) and external stakeholders (researchers, scientists, clinician key opinion leaders). The individual will also be responsible for building and developing a team of scientists with expertise in artificial intelligence (AI) who are curious and interested in making an impact in the diagnosis, monitoring, and treatment of people with heart failure.
What You’ll Work On
Clinical Insights Strategy: Develop and implement a comprehensive strategy for generating clinical insights in alignment with the long-term business goals of the Heart Failure Division.
Collaboration: Work closely with internal stakeholders (R&D, Marketing, Clinical Affairs, Medical Affairs, Reimbursement) and external stakeholders (researchers, scientists, clinician key opinion leaders) to gather and analyze clinical data.
Team Leadership: Build and lead a team of experts in clinical data analysis, data engineering, and data science. Guide the team in developing machine learning (ML) and artificial intelligence (AI) algorithms to understand heart failure disease progression.
Predictive Modeling: Design, develop, and optimize predictive models using ML to solve complex clinical problems, ultimately improving patient outcomes.
Infrastructure Development: Collaborate with IT teams to establish the necessary computational infrastructure to support advanced data science algorithms.
Data Governance: Collaborate with IT and privacy to ensure compliance of projects with applicable statutes, regulations, and professional standards.
External Collaboration: Partner with academic institutions, healthcare providers, and other external entities to access additional data sources and research opportunities.
Innovation: Stay current with advancements in ML research and implement relevant technologies to deliver cutting-edge clinical insights.
Industry Influence: Maintain an external reputation as a clinical insights expert by presenting at industry meetings, serving on panels, and authoring/reviewing articles for peer-reviewed publications.
Required Qualifications:
Master's Degree in medical or scientific field or an equivalent combination of education and work experience. Doctorate Degree in Biomedical engineering/Computer Sciences/ Data Sciences or an equivalent combination of education and work experience.
Minimum 10 years relevant experience.
Preferred Qualifications
10+ years of experience developing advanced ML/AI algorithms preferred.
Management experience with building data science teams, and operating in a highly regulated medical device environment desirable.
Global experience preferred.
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. 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.
The base pay for this position is
$169,300.00 – $338,700.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Clinical Affairs / Statistics
DIVISION:
HF Heart Failure
LOCATION:
United States > Pleasanton : 6101 Stoneridge Dr
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), 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
Tags: Data analysis Data governance Engineering Machine Learning Predictive modeling Privacy R R&D Research Security Statistics
Perks/benefits: Career development Health care Team events Wellness
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