Computational Biology & Machine Learning Scientist

Skills Alliance
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Comp Biologist

Genomic Data Scientist

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Computational Scientist – Machine Learning & Immunology & Biologics

A cutting-edge biotech organization is seeking highly motivatedComputational Scientiststo support the mission of decoding and engineering the immune system. The role focuses on developing advancedmachine learning and statistical modelsto analyze complex biological data, particularly immune repertoires and multimodal datasets.


About the Role

As part of a collaborative Computational Biology team, you will:

  • Design and implement machine learning models—particularlylanguage models, diffusion models, or graph neural networks—tailored to biomedical challenges.
  • Build novel computational methods for interpretingbiological sequences and structural data.
  • Customize existing tools and develop new ones for integrative analysis and visualization oflarge-scale systems immunology data.
  • Drive ML-based pipelines fordiagnostic or therapeutic design.
  • Benchmark computational methods and optimize performance across datasets.
  • Lead or contribute tocollaborative projectsspanning academic, clinical, and industry domains.


Required Qualifications

  • PhD (or MSc with equivalent experience) inComputational Biology, Bioinformatics, Computer Science, Statistics, Physics, or related quantitative discipline.
  • Strong background inmachine learning and statistical modeling, with a demonstrated ability to solve complex biological problems.
  • Proven track record of scientific productivity (e.g., peer-reviewed publications).
  • Hands-on experience indata handling, visualization, and biological data analysis.
  • Proficient inPython, familiar withsoftware development best practices.
  • Practical experience withTensorFlowand/orPyTorch.


Preferred Qualifications

  • 3+ years post-graduate experience in academia or biotech/pharma, applyingML/AI to biological datasets.
  • Prior exposure toimmunology, especiallyTCR/BCR repertoire analysis, or experience with protein design & or biologics.
  • Deep expertise in at least one of the following areas:
  • Language modelsfor sequence analysis
  • Diffusion modelsin molecular design
  • Graph MLin biomedical networks
  • Experience withGPU computing (cloud or HPC clusters).

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.