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Computational histologist, Data analyst

GlaxoSmithKline, Stevenage

Computational histologist, Data analyst

Salary Not Specified

GlaxoSmithKline, Stevenage

  • Full time
  • Permanent
  • Onsite working

Posted 2 weeks ago, 5 Dec | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: eafe912bf6814759bdccb74938f0f186

Full Job Description

  • Lead the analysis of data for defined spatial multiplex imaging project packages (multiplex IF, 10X Xenium/Visium).
  • Generate analysis-ready data by processing raw data from GSK instrumentation - coding in R/python and develop ad-hoc bioinformatic code and validate publicly available software packages/scripts to help GSK extract maximum value from specific datasets.
  • Contribute and oversee scientific collaborations with academic institutions and commercial partners to develop models for virtual staining or 3D histology and contribute to broader non-clinical histology image and data analysis packages in support of project teams, performing image/data analysis as appropriate and required.
  • Contribute to scientific investigations by undertaking literature reviews, provide scientific and technical expertise to experimental design and contribute to the scientific interpretation of data, including generating reports and figures for publications (where required), and presenting at internal and external meetings.
  • Line management responsibilities for a data sciences apprentice starting in Sep 2025 and provide advice, training, mentoring and support in computational data analysis to members of the group/department as appropriate.
  • Integration with GSK data processes - cloud, GSK database, ELN app, etc and compliance of laboratory staff with data standards and that all activities comply with appropriate Health and Safety legislation, Company Codes of Practise and local rules, and are conducted in a safe manner., We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
    • Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or . Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

  • Bachelor's degree in Life Sciences, Computer Sciences or related discipline; equivalent experience will be considered.
  • Experience in organs and organoids 3D image analysis in fixed samples and/or experience of Virtual staining and methods to digitally generate histological stains (H&E, Special Staining, IHC, IF)
  • Experience in spatial multiplex imaging data analysis (multiplex IF, 10X Xenium/Visium).
  • Experience with computer coding (R/python) and with complex mathematical concepts
  • Experience in leading scientific collaborations with academic institutions and commercial partners and experience in mentoring and supervising students and junior colleagues
  • Proven track record of leading complex matrix projects through conception, and delivery and evidence of being able to develop strong interpersonal relationships with colleagues with a diverse set of skills and experience
    • Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:
  • PhD in a Life Sciences, Computer Sciences or related discipline related discipline
  • Experience in image data visualization and analysis by using both commercial and open-source software packages (Halo, Visiopharm, etc).
  • Good practical or theoretical knowledge of routine histology, single and multiplex IHC staining protocol optimization

    Why GSK?
    • Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

    We create a place where people can grow, be their best, be safe, and feel welcome, valued, and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK Computational histologist - Data analyst This role will be essential for analyzing complex spatial biology datasets and accelerating the adoption of methods such as 3D histology and virtual staining. These methods enhance efficiency, reduce the cost of histopathology data delivery, provide more biological insights from tissues and improve the operational effectiveness of the histology labs at GSK. In this role you will:
  • Lead the analysis of 3D images to support investments in ex-vivo 3D imaging technologies and generate computational models for stain-to-stain transformation and virtual stain from un/stained digitally scanned images.

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