Job Details
Title:Lead AI Scientistfor Mental Health Research(Python/SQL)
Industry:Healthtech
Location:Oxford
WorkForm: HybridPermanent Fulltime
Salary: 50k 60k perannum (depending on relevant workexperience)
Ourclient uses advanced AI and NLP to transform mental health anddementia research. Their advanced platform enhances patientcharacterization and supports precision neuroscience enablingtargeted interventions and improving patientoutcomes.
Theyare looking for a Lead AI Scientist who will lead a team indeveloping NLP models to structure psychiatric electronic healthrecords aiding research in mental health and dementia.
Therole involves close collaboration with research engineering andclient engagement teams to ensure the models are accurateclinically valid and effective for researchapplications.
Responsibilities:
- Leadingand managing a team of AI scientists and healthcare data analystsproviding mentorship andguidance.
- Developingand refining Natural Language Processing (NLP) models to structurepsychiatric electronic healthrecords.
- Collaboratingwith research engineering and client engagement teams to integrateAI models into the data processing pipeline and ensure theiroutputs meet userrequirements.
- Conductingexploratory research prototyping and literature reviews to developnovel AI applications for mental health anddementia.
- Ensuringthe accuracy clinical validity transparency and scalability of AImodels.
- CommunicatingAI development plans and progress to the widercompany.
- Disseminatingresearch findings through peerreviewed publications clientpresentations and conferenceattendance.
- Growingthe network of academic healthcare and industry collaborators inthe clinical AI space.
-
Preparinggrant applications to support AI developmentprojects.
Requirements
- PhDlevelqualification (or equivalent industry experience) in a field with asubstantial component of applied AImethods.
- Highlevel of knowledge in machine learning methods applications andvalidation methods.
- Expertisein Natural Language Processing (NLP) techniques includingexperience with Large Language Models for textprocessing.
- Proficiencyin Python (or another programming language with foundational Pythonskills).
- Experiencein team leadership mentorship or supervision with a desire to helpgrow the team of AI scientists through line management andtechnical leadership.
- Stronginterest in healthcare applications of AI and NLP particularly inmental health and dementia.
- Excellentinterpersonal teamwork and collaborationskills.
- Abilityto translate complex concepts and communicate effectively withnonexpert stakeholders in various formats (verbal written documentspresentations).
- Experiencein line management.
- Sectorexperience in mental health research data and/or careprovision.
- Experienceworking in a collaborative version control workflow (e.g. GitBitbucket).
- Knowledgeof SQL particularlyPostgreSQL.
Benefits
- 25days of annual leave plus bank holidays.
- 3additional days of annual leave after 3 years of employment.
- Healthinsurance planincluding 24/7virtual GP mental health support money towards dental treatmentsight tests (plus additional plan for dependents) andhealth/wellbeing discounts (including gym membership).
- 6%companycontributorypension.
- Freshfruit and drinks in theoffice.
Emailyour CV direct to
PhD-level qualification (or equivalent industry experience) in afield with a substantial component of applied AI methods. Highlevel of knowledge in machine learning methods, applications, andvalidation methods. Expertise in Natural Language Processing (NLP)techniques, including experience with Large Language Models fortext processing. Proficiency in Python (or another programminglanguage with foundational Python skills). Experience in teamleadership, mentorship, or supervision, with a desire to help growthe team of AI scientists through line management and technicalleadership. Strong interest in healthcare applications of AI andNLP, particularly in mental health and dementia. Excellentinterpersonal, teamwork, and collaboration skills. Ability totranslate complex concepts and communicate effectively withnon-expert stakeholders in various formats (verbal, writtendocuments, presentations). Experience in line management. Sectorexperience in mental health research, data, and/or care provision.Experience working in a collaborative version control workflow(e.g., Git, Bitbucket). Knowledge of SQL, particularlyPostgreSQL.
