Site Name: USA - Massachusetts - Cambridge
Posted Date: Jul 22 2024
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. 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.
Principal Oligo Data Scientist
The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies. Oligo data scientists will serve a dual purpose of co-developing a data capture & analysis platform with oligo sciences experts and translating their needs broadly across GSK to build methods/models/capabilities that fulfil them.
Key Responsibilities:
- (Primary) Co-develop a target/complex engagement model that combines target sequence, secondary+ tertiary structure, and oligo chemistry to drive binding assay designs for both high-throughput screening and low-latency optimization.
- (Secondary Support) Co-design and implement a target tractability system for oligo-guided therapeutic mechanisms such as RNA degradation/interference, and up/down modulation of alternative splicing, poly-adenylation, A>I editing, etc.
- Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
Basic Qualifications:
- MS degree in computational life science (bio/med/chem/stats/informatics) with at least 1 published work and at least 5 years of industry experience
- Over 1 year experience with Cheminformatic or structural modelling of drug-target binding for small or large molecules validated by real qSAR assays
- Over 1 year experience with genomic data infrastructure for either public or private collections (e.g. ENCODE, TCGA, DepMap, GTEx, cellXgene, UK biobank)
Preferred Qualifications:
- PhD degree in computational life science (bio/med/chem/stats/informatics) with at least 1 published work
- Performed target identification or tractability/prioritization for RNA-modulating approaches or RNA-targeted modalities
- Demonstrated cross-functional communication, matrixed collaboration, both team and thought leadership
Why GSK?
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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