Home > Apprenticeships >L3 Pharmacy Technician Apprentice Boss Pharmacy

L3 Pharmacy Technician Apprentice Boss Pharmacy

APPLY TO THIS JOB

About L3 Pharmacy Technician Apprentice Boss Pharmacy

  • Salary:£9,379.50
  • Working Week:Shifts to be confirmed, with four days based in the pharmacy and one paid day at college.
  • Working Hours:Total hours per week: 37.5
  • Duration:24 Months
  • Start :5-May-23
  • Level :Advanced Level 3 (A level)
  • Reference Number :VAC1000127749
  • Available Positions :1 available

Job Description

Taking in and handing out prescriptions Receiving and ordering stock Selling over the counter medicines Dispensing Advising patients about medications Undertaking final checks on the prescriptions

Training and Qualification

Level 3 Pharmacy Technician (integrated) Apprenticeship Standard The successful candidate will be working in the community pharmacy close to their home and attending college one day a week The candidate will also be registered with the general Pharmaceutical Council Level 3 Qualification

Required Skills & Qualification

Communication skills, Attention to detail, Customer care skills, Team working, Patience

GCSE or equivalent English and Maths (Grade 4 and above) Essential

Apprenticeship Standard

Pharmacy technician (integrated) Level 3 (A level)

Employer

Boss Pharmacy

85 BEDFORD ROAD CLAPHAM LONDON SW4 7RD

Provider

INSPIRE MIDDLESEX COLLEGE LTD

APPLY TO THIS JOB

Related Apprenticeship

Apprentice Mechanic ARNOLD CLARK AUTOMOBILES LIMITED
View
Apprentice Chef
View
Commis Chef Apprenticeship at Mill End Hotel
View
Environmental Practitioner Degree Apprentice
View
Reception Admin Apprenticeship IGUS (UK) LIMITED
View
Catering Apprenticeship - Busy Bees Shrewsbury BUSY BEES DAY NURSERIES (TRADING) LIMITED
View

Scholarships

A New Lightweight Cryptographic Protocol With Public Blockchain Integration for Privacy Preserving Federated Learning in Resource-Constrained IoT Networks at University of Southampton
View Scholarship
Advanced Drivetrain Monitoring through use of Machine Learning and Optical Fibre Speckle Patterns (GE Aerospace) at University of Southampton
View Scholarship
Advanced Rotor-Stator Interactions Through Bearings at University of Nottingham
View Scholarship
Automated Hydrodynamic Characterisation for Seakeeping and Manoeuvring Performance from Focused Experimental Datasets at University of Southampton
View Scholarship
RELATED ARTICLE