of accountability and excellence. Collaborate with cross-functional teams and external partners to optimise quality outcomes and operational efficiency. Experience: Degree-qualified in a scientific discipline (e.g., microbiology, biology, biomedical sciences) or equivalent. Proven experience in quality assurance within a regulated manufacturing or laboratory environment. Strong knowledge of quality systems, ISO standards, GMP/GDP principles, and regulatory compliance. Skilled More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Harnham - Data & Analytics Recruitment
We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.) Skilled in model optimization for constrained More ❯
when required, maintaining high standards of compliance and communication. Collaborate with cross-functional teams to ensure quality objectives are met and risks are mitigated. Experience: Degree in Microbiology, Biology, Biomedical Sciences, or equivalent. Pharmacy Technician Level 3 (GPhC registration desirable). Proven experience in pharmaceutical manufacturing and working within a GMP-regulated environment. Strong leadership and coaching skills with a More ❯
Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
GlaxoSmithKline
To apply for a placement in Data, Automation, & Predictive Sciences (DAPS), you must be studying for an Undergraduate Degree in a subject related to the role. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. Please read the degree requirements for each role carefully before applying. … different algorithms. Interact with laboratory and computational scientists to understand scientific context. Role 2 - Scientific Data Engineering Degree requirements: Physical Science (Chemistry, Engineering, Mathematics, Statistics) or Biological Science (Biology, Biomedical Sciences, Physiology) or equivalent Placement Overview: Design, build, and deploy data pipelines, analyses and visualizations that interact with databases containing GSK's research data, delivering scientific data solutions on cloud More ❯