In this role as a Medical Linguistic Specialist Lead at Docplanner your main focus will be leading and coordinating the work of a team of Medical Linguistic Specialists (MLS) while ensuring the successful delivery of highquality linguistically and medically accurate datasets. You will oversee task prioritization team alignment and quality assurance to support machine learning and natural language processing (NLP) initiatives. This leadership role combines technical expertise in linguistics and medical terminology with strong management and organizational skills.
This role is ideal for candidates with experience managing linguistic or data annotation teams who are passionate about healthcare and technology and who thrive in a dynamic collaborative environment.
How would you be impacting our mission
- Lead and manage the MLS team to ensure accurate consistent and timely delivery of linguistically and medically oriented datasets.
- Establish and maintain annotation guidelines and processes ensuring clarity and alignment across projects.
- Coordinate and prioritize tasks to meet project milestones while addressing blockers and challenges.
- Review and verify the quality of annotated datasets providing feedback and coaching to improve performance.
- Collaborate with crossfunctional teams including NLP experts and machine learning engineers to translate project needs into actionable tasks.
- Drive process improvements by identifying inefficiencies in workflows and implementing solutions to increase productivity and accuracy.
- Develop training materials and oversee the onboarding process for new team members.
Qualifications :
What will help you thrive
- Languages: Be proficient in English and at least one of the following: Spanish Italian Portuguese German or Polish.
- Leadership Skills: Demonstrated experience leading and mentoring teams ideally in linguistic or annotation projects.
- Linguistic Expertise: A degree or strong background in linguistics computational linguistics or a related field.
- Medical Knowledge: Familiarity with medical terminology and prior experience in the healthcare domain.
- Project Management: Strong organizational skills with experience managing deadlines coordinating tasks and resolving challenges.
- Technical Skills: Proficiency in annotation tools creating taxonomies and text pattern development for NLP.
- Attention to Detail: Exceptional ability to review assess and ensure data quality and consistency.
- Collaboration Skills: Strong interpersonal abilities to coordinate with technical teams and communicate effectively.
Which skills are bonus points
- Previous experience in AI machine learning or data preparation projects.
- Knowledge of multiple languages or dialects beyond the primary working language.
- Exposure to medical coding systems (e.g. ICD CPT) or electronic health records (EHR).
- Experience leading linguistic teams.
- Experience in process optimization or workflow automation.
Additional Information :
Getting to know each other What does the recruitment process look like
- 30 Interview with a Global Talent Partner.
- Task Assessment: A reallife exercise simulating the work you would do here. Youll have a few days to prepare.
- 60 Interview with the Hiring Team to discuss your experience and the results of your task assessment as if you were already part of the team.
- 60 Interview with the Hiring Manager and Lead of the team to discuss your experience and assess your leadership skills.
- Offer (subject to references)!
What you will get in return
- Competitive salary appropriate to your experience.
- Private health plan.
- Share options plan after 6 months working with us.
- Free English classes.
- Hybrid working model.
- Unlimited access to the Ifeel emotional wellbeing tool .
- Free birthday to spend the day with your loved ones!
- Join our team and share the greatness! Participate in our successful referral programme and get rewarded for bringing in exceptional talent like yours.
- Last but most important: an amazing team that will welcome you and support you along the way.
Remote Work :
No
Employment Type :
Fulltime