Senior Scientist Human Genetics

KEMIO Consulting Ltd
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior/Principal Data Scientist – Ada

Principal Data Scientist

Head of Analytics & Data Science Decision Sciences & Machine Learning · ·

(Senior) Scientist, Machine Learning (Active Learning & Bayesian Optimization)

Senior Data Scientist

Senior Data Scientist

Senior Scientist, Human Genetics


Genetic Epidemiology, Statistical Geneticists, Functional Genomics, Single Cell Genetics, Geneticists, Translational Science, Machine Learning, Genomic Medicine, Drug Targets

United Kingdom London

Contract position

Excellent Daily rate


KEMIO are very interested in hearing from PhD and Post Doc (between 1-5 years) for multiple opportunities coming up with our growing client in London. We are excited to be adding to this extremely diverse team who have already hired exceptional people join them from all over Europe and renowned institutes in the US.

Hybrid working is on offer, we would ideally like you to spend time with your team on-site at least 2 days a week. .

This team uses genomics and machine learning to expedite the process of drug discovery. The key goals are identifying new drug targets, identifying patient populations, and they are also contributing to drug repurposing.

The current team possesses a wide range of skills, including statistical genetics, genetic epidemiology, deep learning, and comparative genomics across different species.

Joining this team you can expect to contribute to:

  • Performing large-scale data analysis, leveraging human data derived from biobanks, summary statistics, and omics (genomics, transcriptomics, epigenomics at single-cell and bulk level)
  • Using your analysis and results to make precise assessments of translational hypotheses
  • Work across a variety of human diseases, including fibrotic diseases, metabolic diseases, cancer immunology and oncology
  • understanding of single-cell phenotypes through genetics and their application in drug discovery
  • Patient stratification using machine learning methods
  • Development of data analytical capacities with CROs
  • Partner with universities and biotech companies, delivering R&D results through external innovation
  • Contribute to the strategy of genomics-driven drug discovery and the computational biology

What we are looking for:

  • PhD in Human Genetics, Statistical Genetics, Pharmacogenetics, Computational Biology, Computer Science
  • 1-5 years post-doctoral experience from an academic institute or industry position supporting computational biology and/or human genetics efforts for drug discovery
  • Experience with a variety of omics data, and experience with single cell data is preferred
  • Excellent communication in English
  • Programming skills using R, Python or other coding/statistical software

They are a diverse team and welcome suitable candidates from all over the world.


Send through your CV and contact information for an informal discussion with our team!

Keywords: Genetic Epidemiology, Statistical Geneticists, Functional Genomics, Single Cell Genetics, Geneticists, Translational Science, Machine Learning, Genomic Medicine, Drug Targets, Pharmaceutical, Biotechnology, Cambridge,, Oxford, London.

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.

Jobs Careers

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

Jobs

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.