Computational Chemist

FPSG
Oxford
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Computational Chemist

Informatics Specialist

Computer Science Teacher

Computer Science Teacher

Principle Engineer

Senior Director Business Development - Biotech

Computational Chemist - Oxford

FPSG are working with a leading research institution dedicated to advancing the field of computational chemistry. Our multidisciplinary team of scientists, engineers, and researchers collaborates on cutting-edge projects to address complex challenges in drug discovery, materials science, and molecular modeling.

Position Overview:We are seeking a talented and motivated Computational Chemist to join our team in Oxford. The successful candidate will play a key role in developing and applying computational methods to study chemical systems, analyze data, and drive scientific discoveries. This position offers a unique opportunity to work on diverse projects at the intersection of chemistry, physics, and computer science.

Key Responsibilities:

Develop and implement computational models and algorithms for studying molecular structures, interactions, and properties. Collaborate with experimental chemists and interdisciplinary teams to design and optimize novel compounds for drug discovery and materials development. Utilize molecular dynamics simulations, quantum chemistry methods, and machine learning techniques to predict and interpret chemical phenomena. Perform data analysis, visualization, and interpretation to extract meaningful insights from computational results. Contribute to the development of software tools and databases for storing and analyzing chemical data. Stay abreast of the latest advancements in computational chemistry and apply new methodologies to enhance research projects.

Qualifications:

Ph.D. in Chemistry, Computational Chemistry, Chemical Engineering, Physics, or related field. Strong background in computational chemistry, quantum mechanics, molecular modeling, or a related discipline. Proficiency in programming languages such as Python, C/C++, or Fortran, with experience in scientific computing. Hands-on experience with molecular simulation software (e.g., Gaussian, CHARMM, GROMACS, VMD) and quantum chemistry packages (e.g., Gaussian, NWChem, ORCA). Familiarity with machine learning techniques applied to chemistry (e.g., deep learning, molecular descriptors) is a plus. Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a team environment. Effective communication skills with the ability to present complex technical concepts to diverse audiences.

We are Disability Confident and neurodiverse aware. If you have a disability, please tell us if there are any reasonable adjustments we can make to assist you in your application or with your recruitment process

Apply

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.