At a Glance
- Tasks: Develop cutting-edge AI methods for molecular and protein discovery.
- Company: Join a pioneering team at the forefront of scientific AI research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in science with innovative machine learning techniques.
- Qualifications: PhD or equivalent experience in ML, strong publication record, and programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Machine Learning Scientist (Molecular AI)
About the Role
We are seeking an exceptional Machine Learning Scientist to develop next-generation
AI methods for molecular and protein discovery. You will conduct original research while working closely with engineers to translate new ideas into practical tools that accelerate scientific discovery.
Our ML team values strong scientific contributions. We are particularly interested in candidates with a track record of publishing at top-tier machine learning conferences such as Neur IPS, ICML, ICLR, AISTATS, CVPR, or equivalent venues, or who have demonstrated research of comparable quality.
Responsibilities
- Develop novel machine learning methods for molecules, proteins, and biological systems.
- Design and evaluate state-of-the-art models using modern deep learning techniques.
- Conduct research on graph neural networks, transformers, diffusion models, and geometric deep learning.
- Work with large-scale molecular, protein, and 3D structural datasets.
- Collaborate with engineers to ensure research can be efficiently implemented and deployed.
- Communicate work internally and externally.
- Stay at the forefront of advances in AI for scientific discovery.
Qualifications Required
- Ph D (or equivalent research experience) in Machine Learning, Computer Science, Computational Biology, Physics, Mathematics, or a related discipline.
- Strong publication record at premier ML conferences (e. g., Neur IPS, ICML, ICLR, AISTATS, CVPR) or equivalent research achievements.
• Deep understanding of modern deep learning methods, including
- Graph Neural Networks (GNNs)
- Transformer architectures
- Diffusion models
- Strong programming skills in Python and Py Torch.
- Ability to independently drive research from idea to implementation.
- Excellent communication and collaboration skills.
- Preferred
- Experience with 3D machine learning, geometric deep learning, or spatial representations.
- Experience working with molecular structures, proteins, drug discovery, or computational chemistry.
- Familiarity with molecular generation, protein modeling, docking, or structure prediction.
- Experience scaling experiments and collaborating with engineering teams to translate research into production systems.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist - Molecular AI in Slough
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Nxera Pharma. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Nxera Pharma!
We think you need these skills to ace Machine Learning Scientist - Molecular AI in Slough
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Nxera Pharma that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Nxera Pharma.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Nxera Pharma does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Nxera Pharma
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Nxera Pharma. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Nxera Pharma's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Nxera Pharma. This shows your passion for the industry!
