Investigator, Cheminformatics​

The Data, Automation, and Predictive Sciences (DAPS) organization within Research Technologies at GSK works to harness the power of GSK’s data-as-an-asset to drive research productivity.  The Cheminformatics (CIX) group is focused on capitalizing on our chemistry and biology data resources to develop, integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. We are seeking a Cheminformatics scientist to help marshal internal datasets and deliver insights and models built on the strength of those datasets alongside CIX colleagues and business partners.   

DAPS and CIX will only be successful by working in close collaboration with these business partners, including other groups within DAPS and Research Technologies, Therapeutic Areas, GSK Tech, AIML, Vaccines, and Risk & Compliance.  We strive to foster and develop 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 programs, pension plan membership, and shares and savings program.

We embrace modern work practices; our Performance with Choice program 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 webpage Life at GSK | GSK

Key Responsibilities:

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following.

• Collaborate with business partners to engineer robust pipelines that process GSK’s large proprietary datasets and deliver model-ready datasets.

• Development of our rich and complex chemogenomic data and models, leverage their insights for tool compound and target identification and ongoing. project support across a range of modalities and integrate them with target deconvolution and phenotypic screening analytics pipelines.

• Adapt and develop cheminformatics methods and machine learning at scale to build robust predictive models for application to drug discovery programs.

• 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 build, 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.

• Integrate with multidisciplinary matrix program teams that span different organizations and geographies to execute work on joint objectives that solve drug discovery project issues and advance joint initiatives using cheminformatics tools and platforms.

Why you?

Basic Qualifications:

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

• MSc in Cheminformatics, Computational Chemistry, Informatics, Life Sciences or Mathematics

• Experience programmatically collecting, combining, mining and analyzing complex biological and chemical data to build predictive models, and deploying these methods as pipelines.

• Experience in computational sciences including knowledge of machine learning, virtual screening, and cheminformatics methods applied to drug design.

• Experience utilizing computer programming and scripting languages such as Python, Java, C/C++.

• Experience with chemical toolkits such as Chem Axon or RDKit and scientific pipelining tools such as Pipeline Pilot or KNIME.

Preferred Qualifications:

If you have one or more of the following characteristics, it would be an advantage:

• PhD in Cheminformatics, Computational Chemistry. Informatics, or Mathematics.

• Experience utilizing software development tooling such as GitHub, Azure DevOps, automation and containerization in the course of production hardening and deploying code into cloud environments for broader use including collaborative software development.

• Experience applying cheminformatics & predictive modelling methods in project support scenarios.

• Knowledge of related disciplines (medicinal chemistry, high throughput screening, analytical chemistry, chemical biology, DMPK, Tox, Imaging) to enable multidisciplinary approaches to be identified and integrated into a cohesive project plan is preferred.

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, 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.

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 the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/