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Medical Document Specialist Jobs
Company | SiftMed |
Address | St John’s, Newfoundland and Labrador, Canada |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-11-09 |
Posted at | 11 months ago |
Medical Documentation Specialist
As a group of passionate technology developers, successful entrepreneurs and industry experts, SiftMed (SM) isn’t your typical start-up. We are scaling and growing quickly and are looking for individuals with a passion for constantly pushing the envelope. SM’s platform uses Machine Learning and AI to help our users find the facts in medical data.
What Do We Offer?
As a group, we never take ourselves too seriously but believe we truly can make a big difference. We enjoy having fun, from axe throwing, full company strategic offsites, bi-annual boil ups and did we mention birthday celebrations? We want everyone to be empowered, regardless of your role, you have a seat at the table and we want to hear from you.
We want our employees to succeed. We’re flexible on work hours, we’re ok with remote, we’re also happy to get you an office - we realise that some people work better in the morning/night or sometimes you need a break and that’s ok.
We recognize the importance of an inclusive, diverse, and equitable workforce. Diversity and inclusion are one of our core values. To this end, we commit to prioritising the hiring and promotion of people from traditionally marginalised groups and communities.
Who Are You?
- This position will have some time restrictions on when work will need to be completed. You are someone who is ok working flexible hours that may follow an ad hoc schedule sometimes impacted by user requests
- A results-oriented individual who thrives on a deadline
- You are detailed oriented and have a passion for organization
What You Will Be Doing:
- Sort, review and analyse data
- Identify technical and clinical errors in medical files
- Work closely with our Machine Learning and Medical Data labelling team
- Quality assurance and reviewing medical files for categorization and timeline accuracy
- Contribute directly to our machine learning models through the labelling of medical data
Pre-Requisites:
- Experience identifying or coding medical files
- A plus would be experience working in a physician's office or within the medical field (Family physician office ideally)
- Experience with medical terminologies
- A background in a Health studies program (eg. Medical office admin program)
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