Abbott Laboratories
Senior Staff Scientist - Real World Evidence and Data Science
Abbott Laboratories, Santa Clara, California, us, 95053
Working at AbbottAt 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.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. Our medical device technologies are designed to help people live their lives better and healthier.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.Main responsibilities will include:Data AnalyticsLead 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 CommunicationBuild 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:
www.abbottbenefits.comFollow 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.The base pay for this position is $125,700.00 – $251,500.00. In specific locations, the pay range may vary from the range posted.
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Freedom 2 Save
student debt program and
FreeU
education benefit - an affordable and convenient path to getting a bachelor’s degree.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. Our medical device technologies are designed to help people live their lives better and healthier.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.Main responsibilities will include:Data AnalyticsLead 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 CommunicationBuild 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:
www.abbottbenefits.comFollow 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.The base pay for this position is $125,700.00 – $251,500.00. In specific locations, the pay range may vary from the range posted.
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