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Data Lead

Buckinghamshire   •  Negotiable  •  Contract/Temporary, Full time


Data analyst Lead

5 month contract

Location: Milton Keynes

Salary 40k

Skills:

Experience of one or more statistical tools including R, Python, Jupyter Notebook or others

You will be working with data received through the Laboratory Information System and specialist data software in liaison with Biomedical Scientists to validate large quantities of results. You will ensure the integrity and quality of data and sample throughput throughout the diagnostic shift.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

Provide specialist support to the laboratory management in assay analysis and maintenance of end-to-end clinical diagnostics workflows for medical testing processes

Accurate processing of large non-clinical data sets and escalating any quality control issues relating to process performance

Conducting operations research in the utilisation of FMEA and other techniques leading to process optimisation

Managing the data flow from laboratory to ensure accuracy in reporting of patient results

Tracking and management of non-conformities, utilising quality management tools, issue management process, business issue prioritisation and advanced analytics and learning techniques

Proactive interpretation of data trends to reduce preventative instrument and process downtime.

Drive and manage interactions between laboratory instrument interface systems, assay reporting software and other bioinformatics tools to investigate, escalate and resolve support issues and product feature requests

Working in close liaison with the Quality Team to ensure excellent change control, release management and documentation to maintain a validated state of the assay reporting system and continuous improvement of laboratory processes

Working in close liaison with Quality Management to uphold ISO 15189 / ISO 17025 accreditation standards

PERSON SPECIFICATION:

ESSENTIAL CRITERIA

1. BSc Honours degree or equivalent experience in a statistical, biological science or engineering discipline, e.g., Bioinformatics/Informatics Sciences, Operations Research, Data Operations, Health Data Science

2. Experience of working with complex and large datasets to draw relevant conclusions

3. Demonstrable knowledge and understanding of qPCR/ePCR and problem-solving and troubleshooting utilising controls within the process

4. Knowledge of laboratory instrument connectivity interfaces, e.g., LIMS

5. Experience of one or more statistical tools including R, Python, Jupyter Notebook or others

6. Experience of working within a fast-paced laboratory environment

7. Knowledge and experience of working to quality standards

8. Excellent written and verbal communication skills

9. Demonstrable collaborative skills and a positive can-do attitude

10. Ability to work on a rotating 24/7 shift pattern 40.25 hours per week

If you are interested please apply or send your CV to luke.sandilands@cpl.com

  • Agency: Cpl Life Sciences
  • Contact: Luke Sandilands
  • Reference: JO-2111-480951
  • Posted: 25th November 2021
  • Expires: 23rd December 2021

Cpl Life Sciences

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