Omics Data Scientist

GenomeWeb LLC
Coventry
1 month ago
Applications closed

Related Jobs

View all jobs

Bioinformatician / Senior Bioinformatician

Union House
111 New Union Street
Coventry
CV1 2NT
United Kingdom

c.£37k (dependent on experience) performance-related bonus pa

Job Description

Michabo Health Science Limited is an expanding spin-out company from the University of Birmingham. We are leaders in the innovation and application of molecular toxicity data from ‘omics technologies to support the hazard assessment of chemicals under European safety legislation. Our mission is to accelerate the world’s transition towards safer chemicals without vertebrate animal testing, using molecular toxicity data to identify and characterise exposure-related hazards for regulatory approval.

As interest and confidence in applying metabolomics and transcriptomics technologies to regulatory toxicology grows, so we are growing. We now seek to recruit a skilled Omics Data Scientist, complementing the strengths of our existing team. We succeed because of the strength of our science, our people, and our collaborative approach to working with our clients, who include regulators and chemical companies throughout the UK and Europe, as well as the European Commission. Our core values include fostering teamwork, and earning trust in the approach to our mission through all that we do. We operate hybrid working, with the city of Birmingham, UK, serving as our physical meeting hub.

Requirements

A company Scientist role powers the delivery of our projects by conducting and delivering on contract research, assisting in the development of new contract proposals, and contributing to exploratory research in the company’s R&D programme. The Scientist works closely with Senior Scientists to conduct investigations and report scientific findings. We provide built-in career progression for Scientists through the learning and development of project planning and management skills, and by specialising in methods continually being improved by our R&D to solve real-world challenges in chemical safety. Our Scientists also co-author research publications.

We seek a proven researcher and team player who speaks our language, the language of ‘omics and ‘omics data analysis, applied to human or animal biology. Applicants should have a PhD (or equivalent level of expertise) focused on applying metabolomics or transcriptomics to either toxicology, human health/disease or perturbation biology. The Scientist will be capable of performing reproducible computational and/or statistical analyses of ‘omics data to address toxicological questions, applying their knowledge of R, Python or equivalent languages. They will review and incorporate insights from relevant scientific literature and databases to enable data analysis decisions and toxicological interpretation.

Applicants should be motivated to apply their skills towards 21st century regulatory toxicology to help transition towards non-animal toxicity testing. Some knowledge of mechanistic or regulatory toxicology is highly desirable, as is experience working outside of academia. We also invite applications from more experienced candidates, for consideration in a more senior role in the company.

How to Apply

Interested? If you would like more information regarding the job description and skills specification, please contact .
If you would like to apply, please send a cover letter outlining why you feel you are suitable for the role and a full CV to by 10 April 2025. Please include how you heard about this advert.

#J-18808-Ljbffr

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.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.