Site Name:UK - Hertfordshire - Stevenage, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence
Posted Date:May 22 2024

We are seeking a highly motivated Bioimage Analyst with experience in advanced image analysis, bioinformatics, and computational biology. This role will be a key contributor alongside a team of talented computational biologists and experimental scientists. The Bioimage Analyst will be responsible for analysing 2D and 3D images of protein expression and investigating immune responses using various machine learning methods, including deep learning.

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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Key responsibilities,

Conduct advanced image analysis using tools such as ImageJ/Fiji, Imaris, CellProfiler and HALO.
Collaborate closely with the research team members to design and conduct such analyses.
Build and maintain bioimaging analysis pipelines using Python-based tools like Scikit-Image, OpenCV, and Napari.
Derive insights from complex bioimaging data. Collect and report data to the relevant project team members.
Interact with other team members to facilitate the development and optimization of the analysis.
Execute and deliver data of the project to a high quality and within defined timeframes.


Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals,

MSc in Bioinformatics, Computational Biology, or related field.
Extensive experience in analysis of bioimaging data.
Proficiency in Python programming and experience with Python-based image analysis tools.
Strong statistical skills.
Experience with machine learning frameworks like PyTorch or TensorFlow.


Preferred Qualifications:

PhD in Bioinformatics, Computational Biology, or related field.
A track record of problem-solving, with the ability to navigate complex scientific and business challenges.


Closing Date for Applications - 5th June 2024 (COB)

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.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people over the next 10 years. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery. We are revolutionising the way we do R&D. We're uniting science, technology and talent to get ahead of disease together.

Find out more:

Our approach to R&D .

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.

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