Senior Staff Scientist - Real World Evidence and Data Science

Company:  Abbott Laboratories
Location: Santa Clara
Closing Date: 01/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
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.

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 student debt program and 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.

Our site in Santa Clara, CA is looking for a Senior Staff Scientist - Real World Evidence and Data Science.

THIS IS AN ON-SITE DAILY ROLE.

For years, Abbott’s MEDICAL DEVICES businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring systems, 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 ?nger sticks. 

 

WHAT YOU'LL DO:

You will work within the Abbott Global Data Science & Analytics team with a focus on medical devices in the coronary and peripheral vascular space. You will lead and execute data analytics projects that generate impactful evidence and insights related to medical device technology, relevant disease states, and healthcare economics. You will collaborate with peers within the function, across the organization, and thought leaders outside the company. You will work with different types of data, developing creative ways to analyze and present your results. You will lead development of regulatory protocols and reports, conference presentations, and scientific manuscripts. You will also support digital health initiatives. Your work will support healthcare decisions by patients, physicians, health authorities, payers, and policy makers.

 

Main responsibilities will include:

Data Analytics

Lead and complete advanced data analytics projects related to medical devices, focused on coronary and peripheral vascular devices

Design and implement real-world evidence studies

Work with varied data types, including insurance claims data, electronic health records, imaging data, and clinical study or registry data

Support digital health and data science initiatives

Strategy and Communication

Build strategy for real-world evidence generation across vascular products

Lead preparation of protocols and reports, conference presentations, and scientific manuscripts

Communicate with regulatory and reimbursement agencies on study design and results

Mentor other scientists on dataset selection, study design, and presentation of results

Collaborate with peers within the function, across the organization and outside the company on projects

Present to internal and external stakeholders with varied backgrounds

Cultivate relationships with key opinion leaders in the industry

 

EDUCATION & EXPERIENCE YOU'LL BRING:

Desired skills:

Excellent 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

Ability to come up with innovative data analysis and presentation strategies

Excellent written skills, with proven ability to prepare protocols and/or scientific manuscripts

Excellent verbal communication skills and ability to speak with experts in the field

Experience working in a regulated environment a plus

Knowledge of vascular medical devices a plus

 

Minimum qualifications required:

Ph.D. and 8+ years of experience or MS and 12+ years of experience in biomedical engineering, health sciences, epidemiology, bioinformatics, or related field

 

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:   

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 , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal

The base pay for this position is $(phone number removed) – $(phone number removed). In specific locations, the pay range may vary from the range posted.

Apply Now
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