Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Bioinformatics Scientist, Quantitative Analysis

Bicycle Therapeutics
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Founding AI Engineer

Senior Machine Learning Engineer

Senior / Lead Data Scientist - AI Agents - Outside IR35

Senior Machine Learning Engineer

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist - Financial Services - Outside IR35

Job Description

You’re a curious and inquisitiveproblem solver, with a quantitative mindset, and a strong background in mathematics or statistics. You are self-motivated, independent and work to ahigh standard. You have a strong track record of translating complex systems into analytical models and extracting key insights toinfluence decision-making. You thrive in a collaborative andcross-disciplinarywork environment.

Key responsibilities

  • Apply quantitative rigor. Develop and apply sound mathematical, statistical, and computational models to support Bicycle peptide discovery and pre-clinical development. Support and train colleagues in the use of analysis and visualisation tools.
  • Deliver business value. Collaborate with cross-functional teams including biologists, chemists, and pharmacologists to implement analytical techniques that span our drug discovery pipeline with a focus on advancing our processes and portfolio.
  • Influence decision-making. Analyze large datasets to identify trends, patterns, and insights to drive decision-making. Be able to communicate quantitative concepts to non-experts and guide strategic decisions.


Qualifications

Essential:  

  • Educated in Statistics, Mathematics, Computational Sciences, Data Science, or equivalent with extensive industry experience
  • Proficiency in R (preferred) or other statistical software packages
  • Expertise in one or more of the following areas: count statistics, data normalization, missing data, exploratory data analysis, feature selection, machine learning, sensitivity analysis, Bayesian statistics, graph theory, optimization methods, stochastic modelling, design of experiment (DoE).
  • Ability to communicate quantitative concepts to a lay audience with clear aims and outcomes

Desirable:  

  • Experience analysing omics data (particularly bulk RNA-seq and proteomics)
  • Experience with HPC, linux, scripting and cloud environments
  • Awareness of cheminformatics methods and databases
  • Familiarity with image analysis
  • Familiarity with gene regulatory circuits



Additional Information

  • State-of-the-art campus environment with on campus restaurant and Montessori nursery
  • Flexible working environment
  • Competitive reward including annual company bonus 
  • Employee recognition schemes
  • 28 days annual leave in addition to bank holidays + option to buy up to 5 additional days annually
  • Employer contribution to pension (employee does not have to contribute) 
  • Life assurance cover 4x basic salary 
  • Private Medical Insurance, including optical and dental cover. 
  • Group income protection
  • Employee assistance program
  • Health Cash Plan
  • Access to company subsidized gym membership.
  • Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc. 
  • Cycle to work scheme 

Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.