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

Apply Now

Medical Data Scientist / Statistician (Full time - Remote Europe)

RetinAI Medical
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist

Senior Principal Data Scientist

Junior Data Scientist - Reply

Junior Data Scientist (9624)

Junior Data Scientist - Reply

Senior Data Scientist

About Us

Ikerian AG (formerly RetinAI Medical)is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare.

Job Description

As a Medical Data Scientist/Statistician, you will play a key part in supporting the statistical analysis of datasets, specifically focusing on biomarkers to validate and support clinical trials. 
You will collaborate with researchers, applying advanced statistical techniques and data science methodologies to derive meaningful insights that inform clinical decision-making.

Key Responsibilities

  • Working with the Real-World Evidence (RWE), Data Strategy and Commercial teams in the creation and delivery of data specifications for research projects.
  • Working with the engineering and machine learning team on maintaining and improving the data platform which ingests and standardizes data.
  • Providing informatics expertise to the Data Strategy and Commercial team to support data partner interactions.
  • Participating in reviewing quality of incoming data, triaging and resolving issues to ensure data meets RWE team’s needs.
  • Participating in management and improvement of our common data model.
  • Using clinical knowledge to participate in designing and maintaining an automated data quality review process.

Requirements

  • Master’s degree in Statistics, Biostatistics, Data Science, or a related field.
  • PhD/ MBA a plus
  • Excellent verbal and written English communication skills.
  • Reside in a European Country
  • A minimum of 3 years of relevant working experience with bio-statistical projects.
  • A minimum of 3 years worked in healthcare or pharma related fields.
  • Proven experience in statistical analysis and data science, preferably in clinical research or healthcare.
  • Strong proficiency in Python and/or R for data analysis and statistical modeling.
  • Experience with Git, Software Development.
  • Experience in medical dataset analysis, and familiarity with Real-World Evidence and Ophthalmology is a plus.
  • Strong communication and collaboration skills, especially in a multidisciplinary team environment.
  • Experience in a startup or consulting environment is an advantage.
  • Demonstrated entrepreneurial and collaborative mindset.
  • Knowledgeable in industry best practices in biostatistics and clinical studies.
  • Strong analytical and problem-solving abilities, an eye for detail.
  • Ability to work independently and as part of a team.
  • Available to work during Central European Time (CET) business hours.

Benefits

  • A chance to be part of an exceptional team driving innovation in healthcare.
  • A competitive salary in a supportive work environment that fosters work-life balance.
  • Opportunities for professional growth and development in an international setting.
  • A culture of collaboration and inclusion, which is fundamental to our ethos.
  • Occasional travel to conferences, presenting posters and to represent the company.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.