
Medical Content Reviewer - Remote - Nationwide
Vituity · United States
- Hybrid
- Full-time
- $124,800 / year
- United States
Job highlights
- Review medical content to improve machine learning.
- Analyze and evaluate healthcare data samples.
- Work remotely nationwide in the U.S.
- Requires healthcare expertise and G-Suite skills.
- Contribute to healthcare innovation and transformation.
About the role
About Inflect Health & Vituity
Everybody Has A Role To Play In Accelerating Healthcare Innovation.
If you want to be part of changing healthcare to better serve patients, you are in the right place. With Inflect Health you will join a team of individuals dedicated to optimizing healthcare for all.
Join the Inflect Health Team. At Inflect Health, Vituity’s Innovation Hub, we identify, develop, and invest in leading-edge technologies and solutions that strengthen Vituity’s history of healthcare transformation. When you join our team, you are part of a community that is committed to sharing the future of healthcare by prioritizing the human element in innovation – focusing on the provider and patient outcomes, not just the technology.
The Opportunity
Craft expert responses, showcasing your deep knowledge of medical principles to enhance machine learning of healthcare data. Analyze samples based on provided information, demonstrating your ability to apply your expertise effectively. Evaluate samples in sequential descending priority in a multi-step project, which will be used as inputs for a model.
Required Experience And Competencies
- Resume and cover letter required upon applying.
- Eligibility to work in the U.S.
- Expertise and experience in healthcare.
- Experience using G-Suite (e.g. Google Sheets, etc.).
- English language proficiency.
Compensation
We are excited to share the base salary range for this position is $60.00, exclusive of fringe benefits or potential bonuses. This position is also eligible to participate in our annual corporate Success Sharing bonus program, which is based on the company’s annual performance. If you are hired at Vituity, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. We believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please speak with a recruiter for more details.
Why Inflect Health?
Innovation and transformation are required to navigate and improve the evolving landscape of healthcare, and we believe everyone can play a role in that. We strive to be a catalyst for that transformation through improvement in healthcare delivery and the development of health technologies. If you want to make a difference, Inflect Health is the place to do it.
Equal Opportunity Employer
Inflect Health does not discriminate against any person on the basis of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information (including family medical history), veteran status, marital status, pregnancy or related condition, or any other basis protected by law. Inflect Health is committed to complying with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
Applicants only. No agencies please.
Key skills/competency
- Medical Content Review
- Healthcare Innovation
- Machine Learning Enhancement
- Data Analysis
- Healthcare Expertise
- G-Suite Proficiency
- English Language Proficiency
- Provider Outcomes
- Patient Outcomes
- Healthcare Transformation
Skills & topics
- Medical Content Reviewer
- Healthcare
- Innovation
- Machine Learning
- Data Analysis
- Remote
- G-Suite
- Content Evaluation
- Healthcare Technology
- Vituity
- Inflect Health
How to get hired
- Tailor your resume: Highlight your healthcare expertise and G-Suite proficiency. Emphasize any experience with machine learning or data analysis for Vituity's innovation hub.
- Craft a compelling cover letter: Clearly state your passion for healthcare innovation and how your skills align with Inflect Health's mission.
- Showcase G-Suite skills: Be prepared to demonstrate your proficiency with Google Sheets and other G-Suite applications during the interview process.
- Prepare for medical content questions: Expect to discuss your medical knowledge and how you would approach analyzing and evaluating healthcare data samples.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the base salary for the Medical Content Reviewer role at Vituity?
- The base salary for the Medical Content Reviewer position at Vituity is $60.00 per hour. This rate is exclusive of fringe benefits or potential bonuses. The final compensation will be determined by factors such as skills, education, and experience.
- Is the Medical Content Reviewer position at Vituity remote?
- Yes, the Medical Content Reviewer position at Vituity is a remote role, open to candidates nationwide within the U.S.
- What kind of experience is required for the Medical Content Reviewer job at Inflect Health?
- Inflect Health requires expertise and experience in healthcare, proficiency in using G-Suite applications like Google Sheets, and English language proficiency for the Medical Content Reviewer role. Eligibility to work in the U.S. is also necessary.
- How does Vituity determine the final salary for a Medical Content Reviewer?
- Vituity determines the final salary for a Medical Content Reviewer based on a combination of factors, including the candidate's skills, education, and relevant experience. They also consider internal equity among current team members to ensure pay equity.
- What is the role of Inflect Health within Vituity?
- Inflect Health is Vituity’s Innovation Hub. Its role is to identify, develop, and invest in leading-edge technologies and solutions that advance Vituity’s mission of transforming healthcare.
- What are the main responsibilities of a Medical Content Reviewer at Inflect Health?
- The main responsibilities include crafting expert responses using medical knowledge to enhance machine learning for healthcare data, analyzing various healthcare data samples, and evaluating these samples in a prioritized sequence for a multi-step project.