Senior Clinical Data Scientist
United States - Sylmar : 15900 Valley View Court, United States
Full Time Senior-level / Expert USD 86K - 173K
Abbott
Innovative medical devices and health care solutions for cardiovascular health, diabetes management, diagnostic testing, nutrition, chronic pain and more.
JOB DESCRIPTION:
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.
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 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.
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.
The Opportunity
This position works out of our Santa 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:
Data Analytics
Curating and analyzing complex healthcare data (such as insurance claims, electronic health records, imaging data, medical device data, etc)
Designing and executing data analyses for real-world evidence generation
Performing integrative analyses of clinical and device data from large patient cohorts
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
Researching and developing AI/ML and Deep Learning algorithms
Solving analytical problems and effectively communicating methodologies and results
Creating dashboards and visualizations of processed data to identify trends
Strategy and Communication
Translating project needs and goals into a data-driven analytical approach
Understanding the context of big data and its implications around privacy
Working autonomously in a fast-paced environment
Collaborating with a broad range of technologists and support personnel both within and outside of Abbott
Supporting digital health and data science initiatives
Preparing protocols and reports, conference presentations, and scientific manuscripts
Communicating with regulatory and reimbursement agencies on study design and results
Presenting complex concepts to internal stakeholders with varied backgrounds
Required Qualifications
Associates Degree (± 13 years)
Minimum 7 years of experience
Preferred Qualifications
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
Strong data wrangling and analysis skills
Strong knowledge of statistical methods
Experience with analytical software tools such as R, SAS, Python, SQL. Familiarity with cloud platforms such as Databricks is a plus
Experience with big-data architecture, operating systems and tools for big-data analytics
Hands-on knowledge of contemporary machine learning, pattern recognition and data-mining techniques.
Ability to come up with innovative data analysis and presentation strategies
Strong oral and written communication skills
Experience working in healthcare/medicine
Experience working in a regulated environment a plus
The base pay for this position is
$86,700.00 – $173,300.00In 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.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
Tags: Architecture Big Data Computer Science Data analysis Data Analytics Databricks Data Mining Deep Learning Engineering Machine Learning Privacy Python R SAS SQL Statistical modeling Statistics
Perks/benefits: Career development Health care
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