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- Tasks: Lead AI initiatives in small molecule drug discovery, developing innovative methodologies and computational tools.
- Company: Orion Pharma is a global leader in pharmaceuticals, dedicated to improving patient lives through innovation.
- Benefits: Enjoy a collaborative environment, competitive salary, health benefits, and opportunities for international relocation.
- Why this job: Join a transformative journey in AI-driven drug discovery, making a real impact on global health.
- Qualifications: Ph.D. in relevant fields with 5+ years of experience in AI/ML methods and strong coding skills required.
- Other info: Apply by May 25th, 2025, and showcase your passion for AI in drug discovery.
The predicted salary is between 43200 - 72000 £ per year.
https://ccl.net/cca/jobs/joblist/mess0064441.shtml CCL 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Conferences upcoming conferences Jobs positions open Consultants COnsulting Companies -Resumes- resumes (positions wanted) From: jobs at ccl.net (do not send your application there!!!) To: jobs at ccl.net Date: Fri May 2 06:51:31 2025 Subject: 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Orion is seeking a visionary and technically exceptional Lead AI Scientist- Small Molecule Discovery to join our Molecular Prospecting and Modeling Unit. This newly established role is ideal for a scientist driven to push the boundaries of modern predictive and generative AI methods and redefine how small molecule drug discovery is conducted. If you\’re passionate about innovating beyond the current state-of-the-art and building transformative solutions that shape the future of drug design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with cutting-edge technology. We are pawing our way to the future by transforming how we discover and design small molecule therapeutics, integrating computational methods with domain expertise in medicinal chemistry, biology, and pharmacology. Join us at the forefront of this transformation and help accelerate the discovery and development of new therapies for patients around the world. About your roleAs Lead AI Scientist, you will act as a thought leader in machine learning and artificial intelligence, spearheading the development of novel methodologies to enable data-driven hit discovery, hit-to-lead progression, and lead optimization. You will work alongside a highly experienced computational team and have a pivotal role in empowering scientists across Orions R&D, including Medicinal Chemistry and DMPK-Tox experts.This role is not project-bound or service-orientedit is about initiating a fundamental evolution in computational drug discovery at Orion. You will have a strong mandate to explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics team.- Driving innovation in areas such as foundation models, active learning, and generative chemistry with attention to synthetic feasibility.- Staying at the forefront of scientific and technical advances in AI for drug discovery.- Collaborating with internal computational experts and selected external partners to extend Orions capabilities.- Contributing to scientific publications and participating in the broader scientific community where appropriate.This is a full-time position based in Cambridge, UK. In this position, you will report to the Head of Computational Design based in Espoo, Finland.What we offerAt Orion, your work directly contributes to improving the lives of patients worldwide. We provide:- A forward-looking, collaborative scientific environment with top-tier professionals.- A unique opportunity to drive a technological leap in AI-powered drug discovery.- Access to diverse chemical and biological data and modern compute environments.- Opportunities for scientific publishing and engagement in external collaborations.- Competitive salary, comprehensive health and welfare benefits, and support for international relocation.At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence. We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.Please visit our website to find further information about our values and Orion as an employer https://www.orion.fi/en/careers/orion-as-an-employer/.Our expectationsTo succeed in this role, we expect you to have:- Ph.D. in machine learning, artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable AI-driven workflows and tools.- Passion for scientific discovery and the curiosity to explore new frontiers.- Excellent communication and collaboration skills in a multidisciplinary environment.- Fluent written and spoken English.- Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required.How to apply and additional informationIf this opportunity excites you, we encourage you to apply! Please submit your cover letter and CV by May 25th, 2025, and let us know what drives your passion for AI in small molecule discovery. You can find the job among our open positions on our website at https://www.orionpharma.com/careers/ Unit descriptionOrions pharmaceutical innovations are created within its R&D organization.We employ around 400 top professionals in the field of drug discovery and development. We work globally: in Espoo and Turku in Finland, in Nottingham in England and in New York, NY, USA. Orion R&D and the Innovative Medicines business division are dedicated to making a transformation to become a global player in the pain and oncology therapy areas. Our Medicine Design Department plays a critical role in drug discovery, from target validation to clinical candidate nomination.The Molecular Prospecting and Modeling Unit defines hit-finding strategies for early-stage drug discovery and develops computational methods to support all stages of small molecule discovery. Our unit integrates cheminformatics, AI, molecular modeling, and structural biology to accelerate and guide data-driven drug design.About UsOrion is a globally operating Finnish pharmaceutical company a builder of well-being for over a hundred years.Orion provides meaningful work for more than 3 600 Orionees in Finland and abroad. Orion is known as a responsible and reliable employer where we value each other, strive for the best and build for tomorrow.We develop, manufacture and market human and veterinary pharmaceuticals and active pharmaceutical ingredients. Orion has an extensive portfolio of proprietary and generic medicines and consumer health products. The core therapy areas of our pharmaceutical R&D are oncology and pain. Proprietary products developed by Orion are used to treat cancer, neurological diseases and respiratory diseases, among others.Please submit your cover letter and CV by May 25th, 2025. You can find the job advertisement among our open positions on our website at https://www.orionpharma.com/careers/Please find the direct link to the job advertisement below, through which you can submit your application and CV.https://fa-esaq-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/OrionCareers/job/420/?location=United+Kingdom&locationId=300000000446159&locationLevel=country&mode=location NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!! All @ signs were changed to [a] to fight spam. Before you send e-mail, youneed to change [a] to @ For example: change joe[a]big123comp.com to joe@big123comp.com Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at https://server.ccl.net/jobs .If you are not interested in this particular position yourself, pass it tosomeone who might be — some day they may return the favor. Page accessed 96 times since Fri May 2 11:00:46 2025 GMT #J-18808-Ljbffr
25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK employer: The Computational Chemistry List
Contact Detail:
The Computational Chemistry List Recruiting Team
joe@big123comp.com
StudySmarter Expert Advice 🤫
We think this is how you could land 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK
✨Tip Number 1
Network with professionals in the AI and pharmaceutical fields. Attend relevant conferences or webinars where you can meet people from Orion Pharma or similar companies. Building these connections can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest advancements in AI and machine learning, particularly in drug discovery. Follow industry leaders on social media and engage with their content. This knowledge will not only prepare you for interviews but also demonstrate your passion for the field.
✨Tip Number 3
Consider contributing to open-source projects related to AI in drug discovery. This hands-on experience can enhance your skills and make your profile stand out. It also shows your commitment to the field and willingness to collaborate with others.
✨Tip Number 4
Prepare to discuss your previous projects and how they relate to the responsibilities of the Lead AI Scientist role. Be ready to explain your thought process and the impact of your work, as this will showcase your expertise and problem-solving abilities during interviews.
We think you need these skills to ace 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter specifically for the Lead AI Scientist position at Orion Pharma. Highlight your passion for AI in small molecule discovery and how your experience aligns with their mission of transforming drug discovery.
Showcase Relevant Experience: In your CV, emphasise your Ph.D. and any postdoctoral experience related to machine learning or computational chemistry. Include specific projects where you developed AI/ML methodologies, especially those relevant to drug discovery.
Highlight Technical Skills: Clearly list your coding skills and familiarity with ML frameworks like PyTorch or TensorFlow. Mention any experience with cheminformatics tools such as RDKit, as these are crucial for the role.
Express Your Vision: In both your cover letter and CV, convey your vision for the future of AI in drug discovery. Discuss how you plan to drive innovation and contribute to the strategic direction of AI-driven design at Orion.
How to prepare for a job interview at The Computational Chemistry List
✨Showcase Your Technical Expertise
As a Lead AI Scientist, it's crucial to demonstrate your deep understanding of AI/ML methodologies. Be prepared to discuss specific projects where you've applied generative models or active learning techniques, and how they contributed to successful outcomes in drug discovery.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role. Think of examples where you've worked with multidisciplinary teams, particularly in computational chemistry or medicinal chemistry. Highlight your communication skills and how you facilitated teamwork to achieve common goals.
✨Stay Updated on Industry Trends
Orion Pharma values innovation and staying at the forefront of scientific advances. Research recent developments in AI for drug discovery and be ready to discuss how these could be integrated into Orion's work. This shows your passion for the field and your proactive approach.
✨Express Your Vision for the Future
This role is about initiating a fundamental evolution in computational drug discovery. Be prepared to articulate your vision for the future of AI in small molecule discovery, including potential challenges and how you would address them. This will demonstrate your strategic thinking and leadership potential.
