Scientist - Real World Evidence

hace 4 días

Barcelona, España Aetion A tiempo completo

WELCOME to Aetion
We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions.
Our Discover and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness and value of medications, delivering better outcomes to patients, medical professionals, and clients.
Aetion is headquartered in the US and has expanded throughout Europe with a Research and Development Hub in Barcelona.
DESCRIPTION: As a Scientist, you will help Aetion and our clients deliver results through the use of Aetion's Substantiate application.
You will contribute to scientific studies (descriptive, comparative effectiveness, adherence and others) that assess the safety, effectiveness, and value of medical technologies.
RESPONSIBILITIES: Work with client scientists to guide them in designing, creating and delivering scientific through the Substantiate application.
Work with Aetion teammates to create and implement detailed protocols for scientific use cases and scientific validation studies.
Develop a deep understanding of the Substantiate application and measurement system, and share that understanding with customers and teammates through 1:1 discussion, written communications and/or demonstrations.
Develop and maintain scientific assets, such as study templates, outcomes, and measures in the Aetion Measure Library (an extensive library of measurements addressing key clinical conditions) and other deployable scientific components.
Develop and maintain knowledge base articles, documentation, and other learning materials, in text and video form.
Respond to and follow-up on customer requests submitted through the Aetion support system.
QUALIFICATIONS: Basic Qualifications: Graduate degree (in epidemiology, biostatistics, health economics or a related field).
1+ year of related analytical experience or a PhD with related analytical experience with research methods for epidemiological studies (i.e.
prospective cohort study, case control study, confounding control, propensity score methods, multivariate regression).
Experience engaging with customers (in-person, on the phone and in writing) or demonstrated experience in external facing roles.
Working knowledge of health care datasets including medical and pharmacy claims, EMR/EHR, genomics, registry data or demonstrated experience and facility with other health care data sets.
Preferred Qualifications: Experience with cross-functional teams is a plus.
Ability to travel occasionally to other Aetion offices or to client sites.
Outstanding attention to detail and organizational skills.
Strong ability for critical thinking.
Strong ability to quickly learn new tools.
Strong ability to self-motivate and manage conflicting priorities in a fast-paced environment.
Excellent communication in verbal and written form.
Eager to "get things right." Aetion is an Equal Opportunity Employer.
Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work.
To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve.
Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.
Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * Education School Select...
Degree Select... Start date year End date month Select... End date year Are you authorized to work in Spain?
* Would you be willing to work a hybrid schedule at our Barcelona office or consider relocation for a hybrid schedule?
* A hybrid schedule refers to 2-3 days in office and 2-3 days working from home, weekly.
Do you have at least 1+ year of related analytical experience or a PhD with related analytical experience with research methods for epidemiological studies?
* #J-18808-Ljbffr

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