Site Name: UK - Hertfordshire - Stevenage
Posted Date: Oct 4 2024
The new Research Tech Data & Predictive Sciences function is focused on harnessing the power of GSK’s data-as-an-asset to drive research productivity.
As a member of the Cheminformatics (CIX) group, you will be focused on developing, integrating, and embedding advanced computational methods and predictive in silico models that accelerate the discovery of medicines.
Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, Therapeutic Areas, GSK Tech, AIML, Vaccines, Risk & Compliance, and across lines within the function itself, and by developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on enabling value realization through end-user uptake and measuring impact.
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 practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
In this role you will have the opportunity to:
* Apply machine learning and related methods at scale to GSK’s large proprietary datasets to build robust predictive models for application to drug discovery programs.
* Integrate with program teams to solve drug discovery project issues using cheminformatics tools, platforms, and solutions.
* Contribute to and validate code implementing state-of-the-art, production quality cheminformatics and computational chemistry methods that accelerate, automate, and improve decision making on drug discovery programs.
* Prepare and present results of key validation experiments, details of capability builds, and developments on active drug discovery projects to internal and external groups in a way that is both informative and accessible to the non-subject matter expert.
* Work with others within a multidisciplinary matrix team that spans different organizations and geographies to execute on joint objectives.
Basic Qualifications & Skills:
* PhD or MSc in Cheminformatics, Computational Chemistry, Informatics, Life Sciences, Mathematics or equivalent.
* Evidence of a broad knowledge of computational sciences including knowledge of machine learning, computational chemistry, and cheminformatics methods applied to drug design across different modalities.
* Expertise to programmatically collect, combine, mine, and analyze complex biological and chemical data to build predictive models.
* Evidence of developing and utilizing computer programming and scripting languages such as Python, Java, C/C++, R with knowledge of basic software development practices.
* Expertise with chemical toolkits such as ChemAxon, RDkit, and scientific pipelining tools such as Pipeline Pilot or KNIME.
* Evidence of strong critical thinking skills, problem-solving & high learning agility.
Preferred Qualifications & Skills:
* Experience applying DNN to drug discovery including de-novo molecular generation, reaction and retrosynthetic prediction, property prediction.
* Experience working with 3D protein-ligand methods including structure-based design, virtual screening, molecular docking, molecular dynamics, free energy perturbation.
* Experience applying modern experimental design and acquisition strategies to library design and high throughput chemistry including methods such as Bayesian optimization.
* Experience utilizing software development tooling across HPC and Cloud including GitHub, DevOps automation, and Containerization.
Closing Date for Applications – November 3rd, 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.
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 organization 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.
#J-18808-Ljbffr