Site Name: UK – Hertfordshire – Stevenage
Posted Date: Nov 9 2021
GSK is looking for exceptional scientists to provide data analytics for spatial multiplex transcriptomic and proteomic assays, to be based in the Ultrastructural and Cellular Bioimaging group at our R&D site in Stevenage, UK.
This exciting role provides a rare opportunity for the applicant to develop and deploy their analysis skills in relation to spatial multiplex assays, which is currently a hot research area and voted Nature method of the year 2020. The role requires strong data analytics skills that can quickly be applied to improving methods and pipelines for spatial analysis of molecular tissue phenotyping data.
In particular, the role will be focused on projects using cutting edge technologies that bridge imaging and omics domains to enable high-resolution, highly multiplexed localization and quantitation of targeted RNA and protein panels at single cell and sub-cellular level. The data delivered by these assays will contribute to key decision-making points in projects across GSK’s portfolio from target discovery to late-stage assets, by providing powerful insights into biological processes and the effect of interventional drugs.
The role will additionally involve providing expert scientific input to imaging and genomics teams in order to achieve the best experimental designs for proposed projects and maximize the delivery of decision-making data obtained from critical samples, accelerating the path to effective and safe drugs that help patients to do more, feel better, and live longer.
Bioimaging at GSK
At our world class scientific hub Hertfordshire, UK, our Bioimaging department brings together key areas of in-vivo and ex-vivo imaging combined with histology to understand both disease state and intervention combining data on drug distribution with the effect that distribution has on intact biological systems. The focus of the Ultrastructural and Cellular Bioimaging group is to support all aspects of Research, and the wider GSK, using Bioimaging techniques at cellular & ultrastructural resolutions.
Key Responsibilities include, but are not limited to:
- Work collaboratively within a tight-knit team in application of highly multiplexed spatial ‘omics approaches to analysis of slide-based tissue samples to address localised target/pathway modulation in tissue regions or specific cell types at single cell or sub-cellular resolution.
- Act as the principal data analyst for the spatial multiplexing group, influencing the design of experiments to ensure robust statistically valid conclusions can be drawn, and performing detailed analysis of spatial images using state of the art analysis algorithms.
- Communicate spatial data and underlying principles to project teams to maximise the impact of spatial data on project decision-making
- Work with computational biologists, data analysts and bioinformaticians in development of multiparametric/multi-platform data integration and analytics in support of tissue analysis for Discovery projects.
- Be accountable for establishing data integrity standards for spatial multiplexing data including procedures for saving data from NGS/image data acquisition platforms, temporary and permanent storage, image storage and backup practices.
- Develop pipelines to automate and standardize spatial analysis methods
- Lead a process of uplifting spatial data analysis literacy within the group
- Monitor the literature, attend/participate at relevant conferences and propose key development focus to improve impact of spatial multiplexing data analytics.
- Support lab-based imaging assays on an ad-hoc basis
We are looking for professionals with these required skills to achieve our goals:
- Ability to work effectively in multidisciplinary teams and will display excellent interpersonal and communication skills, interacting with scientists and external collaborators at all levels.
- Ability to work independently in a proactive and agile way to test, optimize and deploy analytical methods
- Strong background in using R and or python programming languages for data analytics on Windows and Linux, including accessing/deploying and modifying scripts available in the public domain.
- Proficient in general biology data analytics including data cleaning, data normalisation, data transformation, dimensional reduction methods, data visualization and statistical analysis.
- Experience of using gene enrichment pathway analysis and differential expression to interrogate lists of up and down-regulated genes using online biological pathway tools e.g. Reactome GSA
- Experience in using software applications for image analysis, data analysis/ visualization and interpretation of images from tissue samples, including AI / machine learning algorithms
- Ability to independently author scientific reports and present data to senior stakeholders.
If you have the following characteristics, it would be a plus:
- Postdoc or PhD
- A record of contributing advanced data analytics to scientific publications
- Experience performing fluorescence-based imaging methods
- Experience with one or more modern spatial multiplex technologies including but not limited to: RNAscope/HiPlex assay, smFISH, Fluorescence Cyclic Imaging technologies, Spatial transcriptomics/10X Visium.
- Experience of spatial and non-spatial scRNAseq data analysis and visualisation
- A track record in Oncology, Immunology or Neuroscience
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These includePatient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigour and risk.
- Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
- Continuously looking for opportunities to learn, build skills and share learning.
- Sustaining energy and well-being
- Building strong relationships and collaboration, honest and open conversations.
- Budgeting and cost-consciousness
As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.
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 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).
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.
Please don’t hesitate to contact us if you’d like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on 0808 234 4391, or send an email firstname.lastname@example.org
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.