Medical Writer

HEOR
Bicester
1 year ago
Applications closed

Related Jobs

View all jobs

Research Assistant in Medical Data Science

Senior Data Scientist - Generative AI

Forward Deployed Data Scientist, AI Deployment

Senior Forward Deployed Data Scientist, AI Deployment

Machine Learning Engineer

Medical AI & Data Science: Associate Professor

Are you passionate about communicating complex concepts and data to a wide and varied audience, including health economists, clinicians and patients? Do you have a natural writing flair to produce clear and compelling narratives based on scientific research?

HEOR are seeking experienced medical writers to join the value communications team. The focus of the role will be to lead the development and delivery of quality documents, demonstrating strategic value in alignment with client requirements. This role offers lots of variety including collaborative working on complex projects with in-house technical teams across all service lines; market access, health technology assessment, health economics, evidence review & synthesis, data science & analytics and value communications.

Roles and Responsibilities:

  • Work independently and as part of a team to research, write, edit, and proof copy to the highest scientific and editorial standards across a wide range of materials including dossiers, abstracts, posters, manuscripts, slide kits and study reports
  • Communicate complex concepts and data to a wide and varied audience, including health economists, clinicians, decision makers and patients
  • Communicate health economic methodology and results and ensure compliance with relevant HTA guidelines
  • Assimilate and interpret sources of information with appropriate guidance/direction from research teams and authors
  • Manage projects from concept to completion including design of proposal; development of project tracker with particular reference to deliverables and resourcing; client communication and correspondence
  • Oversee the work of junior colleagues, providing mentorship and training in the design, planning and execution of their tasks

Requirements

  • PhD or Master's degree in a subject related to life science or health research
  • Experience in developing market access materials, which may include HTA submissions, global value dossiers, value propositions, local market access materials
  • Ability to communicate scientific information in a range of formats, with a strong emphasis on written communication skills
  • Sound scientific understanding and analytical skills, with an exceptional eye for detail, accuracy, and quality
  • Ability to provide and respond to constructive feedback, as part of editing and quality control activities
  • Ability to manage your time effectively, enabling you to work on multiple projects, juggle priorities and meet deadlines
  • Relevant experience in consultancy, healthcare, biotechnology and/or pharmaceutical industry

Benefits

Competitive compensation and benefits package, including:

  • A ‘learning’ culture focused on personal development and supported by study bursaries
  • Workplace pension scheme
  • Private health insurance with AXA Health
  • Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Sodexho
  • Cycle to work scheme
  • Employee assistance programme
  • Employees are given an additional day of leave for: their wedding and moving house
  • Annual leave purchase scheme of up to 10 additional days’ leave per year

If you would like to request any reasonable adjustment, for any part of the recruitment process (including application), please let us know by emailing

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.