At a Glance
- Tasks: Develop AI-driven methods to predict pathogen-host protein interactions in viral infections.
- Company: Lassolab, a leader in computational biology and virology research.
- Benefits: Fully funded 3-year PhD with a stipend of £24,643 and comprehensive training.
- Other info: Inclusive environment promoting diversity and innovation in research.
- Why this job: Join a collaborative team and make impactful discoveries in cutting-edge bioinformatics.
- Qualifications: STEM degree with programming experience; passion for machine learning and structural biology.
The predicted salary is between 24643 - 24643 £ per year.
The Lassolab (https://lassolab.co.uk) works at the intersection of computational biology and virology. The lab applies computational approaches—including structural bioinformatics, network biology, and machine learning—to study sequence‑to‑structure‑to‑function relationships in viral and host proteins that drive infection by (re)emerging zoonotic viruses. The laboratory thrives on collaboration, working closely with both experimental and computational groups within the UK and globally to drive multidisciplinary discoveries. We are committed to fostering an inclusive, supportive, and intellectually stimulating environment.
About the role
How do viruses rewire host cells during infection, and can AI help us predict these interactions at scale? This PhD project will develop next‑generation computational approaches to identify pathogen‑host protein‑protein interactions (PPIs) using advances in machine learning and structural biology. Recent advancements in machine learning and AI have revolutionized structural bioinformatics, significantly improving protein and protein complex structure prediction. However, predicting pathogen‑host protein‑protein interactions (PPIs) remains a challenge due, partly, to limited data and conflicting evolutionary pressures. This, however, contrasts with the importance of such interactions as they mediate essential steps during infection. This is particularly relevant in viral infectious diseases, where viral proteins interact with host proteins to co‑opt cellular processes that are essential for the viral replication cycle. In this regard, knowledge of pathogen‑host PPIs is critical for understanding the biology underpinning infection and for designing novel therapeutic approaches. This project will develop a new computational method to predict pathogen‑host protein‑protein interactions (PPIs) by integrating recent developments on AI and structural bioinformatics. The student will implement computational tools, analyse large‑scale biological datasets, and collaborate with other computational and experimental researchers. While focusing on pathogen‑host PPIs, the framework developed will have broad applications across biology.
About you
The project offers an opportunity to gain research training in AI, structural bioinformatics and computational biology, one of the fastest growing areas in biology today. We are looking for a motivated and committed individual who is excited to contribute to advances in structural bioinformatics and computational biology. We will consider students from a STEM discipline (e.g. computer science, physics, biochemistry, chemistry…) and provide training as necessary to work in the interdisciplinary environment required. However, willingness to engage in advanced computational methods is essential.
- Experience with programming and Linux/Unix environment would be advantageous.
- Programming experience (Python, or similar)
- Experience working in Linux/Unix environments
- Familiarity with biological data analysis
- Interest in machine learning and structural biology
- Strong quantitative and problem‑solving skills
Applicants must meet the eligibility requirements for Home fee status. You must have (or about to be awarded) a First or Upper Second (2.1) Bachelor and/or Masters level degree in a relevant subject.
What we offer
This is a fully funded 3‑year PhD studentship funded by the Institute of Infection, Immunity and Transplantation at UCL. The studentship covers tuition fees at home rate, and a non‑taxable annual stipend of £24,643 per year. The student will join a growing and collaborative research group and will have opportunities to interact with research across UCL, and other national and international collaborators. The successful candidate will receive training in structural bioinformatics, machine learning, scientific programming, high‑performance computing, and reproducible research practices. We offer a collaborative, inclusive, and multidisciplinary environment with access to advanced computational resources, including GPU‑enabled HPC clusters and high‑end workstations. This setting emphasizes innovation, teamwork and mentorship, providing an ideal platform to carry out the proposed project while developing transferable skills in programming, data science, protein modelling, and machine learning. This PhD project will equip you with a versatile skill set suited for careers in academia, biotechnology, or pharmaceutical research.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
Full-time PhD studentship (Lasso Group) employer: UK Dementia Research Institute
The Lassolab offers an exceptional opportunity for aspiring researchers in the field of computational biology and virology, providing a fully funded PhD studentship that fosters a collaborative and inclusive work culture. With access to cutting-edge computational resources and a commitment to employee growth through training in advanced techniques such as machine learning and structural bioinformatics, this role is ideal for those looking to make meaningful contributions to science while developing a versatile skill set. Located at UCL, a prestigious institution known for its diversity and innovation, the lab encourages applications from underrepresented groups, ensuring a rich and supportive environment for all.
Contact Details:
UK Dementia Research Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Full-time PhD studentship (Lasso Group)
✨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 UK Dementia Research Institute. 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 UK Dementia Research Institute!
We think you need these skills to ace Full-time PhD studentship (Lasso Group)
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 UK Dementia Research Institute 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 UK Dementia Research Institute.
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 UK Dementia Research Institute 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 UK Dementia Research Institute
✨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 UK Dementia Research Institute. 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 UK Dementia Research Institute'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 UK Dementia Research Institute. This shows your passion for the industry!
