For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
P
Philip J.

Philip J.

Senior Clinical Specialist & Biometric Data Evaluator (MSK & Triage)

United Kingdom flagN/A, United Kingdom

Key Skills

Software

No software listed

Top Subject Matter

Musculoskeletal (MSK) injury prevention and clinical triage using biomechanical performance data⁠
Accident & Emergency MSK triage and clinical safety screening
Clinical triage pathways, RLHF preference ranking, and logical safety compliance⁠

Top Data Types

TextText
DocumentDocument
VideoVideo

Top Task Types

RLHFRLHF
ClassificationClassification
Fine-tuningFine-tuning
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Senior Physiotherapist, Ministry of Defence (MOD) — Feb 2015 to Present. Brings 18+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include VALD Performance Systems, N, and A. Education includes Master of Science, University of Brighton (2013) and Postgraduate Master's Degree Module, Queen Mary University of London (2013). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior Physiotherapist, Ministry of Defence (MOD) — Feb 2015 to Present

Delivered clinical AI logic verification by translating kinetic and injury-prevention insights into safety-aligned decision criteria for return to duty. Used objective biomechanical signals to support predictive trend identification and calibrate thresholds for proactive injury prevention. Performed ongoing auditing of model outputs against gold standard clinical safety guidance for complex, high-volume caseloads. • Monitored neuromuscular trends and kinetic asymmetries from VALD Performance Systems data pipelines. • Used AI assisted statistical analysis dashboards to derive proactive injury prevention trends. • Calibrated precision return-to-duty criteria based on evidence-based frameworks. • Governed safety guardrails by aligning analytics outputs with clinician gold standards.

2015 - Present

Brighton and Hove Albion FC Physiotherapist

VideoVideoClassificationClassification

Conducted an extensive data annotation and injury analysis project for my MSc dissertation, manually reviewing and labeling an entire season's worth of elite player video footage to track injury mechanisms. Collaborated closely with the sports science department to integrate biometric data into elite sport pathways, including analyzing squad screening data and directly implementing GPS tracking metrics into rehabilitation and reconditioning programs to manage training load

2013 - 2015

Clinical Specialist Physiotherapist (MSK), Maidstone and Tunbridge Wells NHS Trust — Jan 2011 to 2014

Led advanced clinical triage pathways for chronic, acute, and complex musculoskeletal conditions with emphasis on evidence-based decision consistency. Ensured adherence to NHS quality metrics while coordinating assessment and escalation logic suitable for AI triage validation. Applied clinical reasoning rigor that can serve as ground-truth guidance for training and evaluating AI-assisted triage. • Managed complex MSK triage pathways across varying acuity. • Ensured strict adherence to evidence-based frameworks and NHS metrics. • Supported safe clinical decision workflows that can be used as evaluation criteria. • Coordinated consistent triage logic for reliable outcomes.

2011 - 2014

Extended Scope Physiotherapist (Accident & Emergency Department), Maidstone and Tunbridge Wells NHS Trust — Jan 2009 to Jan 2012

Performed AI-tribal safety guardrail style work by interpreting diagnostic evidence and applying strict red-flag screening in high-pressure MSK accident and emergency triage. Functioned autonomously to ensure clinical decision making adhered to evidence-based frameworks and quality metrics. Translated clinical reasoning workflows into structured safety-oriented triage practices that could be used to validate AI triage logic. • Front-line MSK triage including red-flag screening and diagnostic interpretation. • Autonomous acute decision making under time and risk constraints. • Alignment to evidence-based frameworks and NHS quality metrics. • Established reliable triage logic patterns suitable for AI safety validation.

2009 - 2012

Education

Q

Queen Mary University of London

Postgraduate Master's Degree Module, Exercise and Medicine in Football

Postgraduate Master's Degree Module
2013 - 2013
U

University of Brighton

Master of Science, Sports Injuries Management

Master of Science
2010 - 2013

Work History

M

Ministry of Defence (MOD)

Senior Musculoskeletal Physiotherapist

N/A
2015 - Present
P

Professional Boxers Association

Physiotherapist to Professional Boxers

N/A
2015 - 2018