AI/ML Engineer, Responsible AI (Temp 12 months)

Site Name: London The Stanley Building Posted Date: Sep 4 2024 At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. If this excites you and you want to be part of our growing team, we would love to chat. We are looking for ML engineers with a track record in developing ML-based software solutions, who can collaborate closely with our AI/ML researchers. Ideal candidates are outstanding software engineers with in-depth knowledge of modern ML methods and a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Apply state-of-the-art ML methods to problems in AI ethics and safety, drug discovery and on challenging biomedical datasets. Support different teams across AIML and GSK to turn applied AI research into reliable and safe ML pipelines and software products. Contribute to ML research on the responsible use of AI in drug discovery and in clinical applications. Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK's responsible AI strategy. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions. Knowledge of machine learning principles and state-of-the-art modelling approaches, and experience with at least one major deep learning framework (preferably PyTorch). Knowledge of modern software engineering tools and best practices. Keenness to learn fast in a new domain and to continuously develop your ML and software engineering skills. Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Experience building and evaluating large language models (LLMs) and LLM-based applications OR Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Research experience (PhD, Master's project, internship at research organization). Contributions to relevant open-source projects. A background or interest in drug discovery, biology, medicine or ethics. Closing Date for Applications: Wednesday 18th September 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. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. LI-GSK GSKTech1 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. 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