Job description
Site Name:UK - Hertfordshire - Stevenage, Cambridge 300 Technology Square, Heidelberg - Office, USA - Pennsylvania - Upper Providence
Posted Date:Nov 20 2024
Scientific/Principal Investigator, Genomic Technologies, Human Genetics andGenomics
This position may be based at a GSK R&D site in UK (Stevenage), in USA (Cambridge Tech Square, MA; or Upper Providence, PA), or in Germany (Heidelberg).
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 webpageLife at GSK | GSK
We are seeking an innovative scientist to join our team as either Scientific or Principal Investigator inGenomic Technologies. Within the Human Genetics and Genomics (HGG) department at GSK, theGenomic Technologiesgroup integrates deep and broad expertise in computational and statistical methods and techniques, to enable best-in-class analytical insight and interpretation of genetics and genomics data, impacting GSK drug discovery and development portfolio and pipeline decisions.
Successful candidates will detail in their applications how their personal qualifications, skills and experience make them ideally suited to the specific responsibilities and requirements of the role. They will join existing teams withinGenomic Technologiesand will work on projects aligned to current areas of focus, including:
- Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data and GWAS/xQTL summary statistics.
- Expertise in developing and applying innovative statistical approaches at scale to genetic and ‘omic datasets to help uncover causal and disease-relevant mechanisms.
- Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers.
Responsibilities
- Generating large-scale analysis outputs, and/or implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.
- Evaluating, improving, testing, and developing production implementations of best-in-class methods for analysis of genetics and genomics data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams.
- Collaborating with partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipelinedecisions.
- Staying informed about recent research in the field and considering its potential for application within GSK.
- Contributing to a culture of innovation, quality, and willingness to learn andimprove.
Whyyou?
Required Qualifications &Skills:
- Advanced degree (PhD or equivalent) in a relevant scientificdiscipline.
- Excellent programming skills in R or python, and knowledge of techniques in reproducible research, literate programming, FAIR data principles, or software development.
- Experience of evaluating, improving, testing, and/or developingstatisticalmethods for analysis and interpretation of large-scale genetics or genomics data.
- Experience with genetic, genomic, epigenomic, or experimental/functional genomic data, and with state-of-the-art methods for data analysis and interpretation.
- Strong communication and team-workingskills.
Preferred Skills &Experience:
- Experience with machine learning and/or advanced statisticalmethods.
- Experience working in multidisciplinary teams on complex and impactfulprojects.
- Experience with integrating information across multiple genetic, genomic, epigenomic, or experimental/functional genomic data types.
- Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).
Closing Date for Applications – 4th December 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.
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).
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.
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