Job description
Site Name:UK - Hertfordshire - Stevenage
Posted Date:Jan 10 2025
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.
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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.
- 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.
Basic Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- 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
Closing Date for Applications – 24/01/2025
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
Please note: On-site presence is required for this position (currently 2-3 days a week, subject to changes based on GSK guidelines).
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.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
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