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Principal Data Scientist, Real World Evidence

Employer
Abbott Laboratories
Location
Alameda County, CA
Closing date
Sep 21, 2021

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Sector
Science, Mathematics and Statistics
Organization Type
Corporate
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 109,000 colleagues serve people in more than 160 countries.
At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That's why we're focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology.
Our location in Alameda, CA currently has an opportunity for a Principal Data Scientist, Real World Evidence. This vital role leverages expertise in real world data, epidemiology, and other relevant disciplines to assess real world outcomes for Abbott Diabetes Care products. The principal data scientist will support cross-functional global observation research by developing and executing methodological and analytical plans to generate insights and evidence which inform internal and external stakeholders such as Global Medical Affairs, Health Economics and Outcomes Research, Research and Development, clinicians, payers, policy makers, and patient groups.

This individual will be responsible for (and should have experience in) designing and executing real world evidence analysis plans and studies and guiding/supporting the projects of others. You will evaluate new data sources. You should be creative and have excellent project management and communication skills. You should be an expert in statistical methods related to real world data analysis. You should have strong proficiency in Python and R.

The individual will play a leadership role in clinical data science.

WHAT YOU'LL DO

Key Responsibilities
  • Lead and execute evaluation of available registries and other data sources
  • Determine potential use of RWE historical control within clinical development program and feasibility of obtaining data required for historical control
  • Support or lead observational studies
  • Develop draft protocol concept and related materials
  • Represent RWE on cross-functional collaborations and working groups for pipeline product(s)
  • Utilize strong communications skills and understanding to promote and translate RWD/RWE methods and activities across the company
  • Give presentations on RWE methods and studies to internal and external audiences
  • Provide leadership and mentorship within RWE group
  • Contribute to publications strategy via development of conference abstracts, presentations, peer-reviewed manuscripts based on the findings of RWE studies
  • Collaborate with database programmers (internal or external) to design/ update registries or databases.

Desired skills
  • Experience with analyzing, summarizing, and effectively communicating scientific data
  • Ability to multitask, prioritize and meet deadlines in a fast-paced environment
  • Collaborative approach in working with cross functional teams
  • Ability to make decisions and use good judgment
  • Ability to prioritize various duties and multitask as required
  • Ability to successfully work with others
  • Strong and persuasive communication skills.
  • Demonstrated ability to design and execute observational research
  • Ability to take detailed observational study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings


EDUCATION AND EXPERIENCE YOU'LL BRING

Required
  • Bachelors Degree in related field or an equivalent combination of education and work experience
  • Minimum 9 years related work experience with a complete understanding of specified functional area

Preferred
  • MS in biostatistics, epidemiology, health economics and outcomes research, public health, health policy, data science or similar preferred
  • Strong proficiency with R and Python
  • 3+ years of experience working in observational research within the life sciences industry or relevant academic, government, or consulting environment
  • Understanding of the 21st Century Cures Act and the opportunities for use of RWE to inform regulatory decision makers


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.com

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 www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

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