Data Scientist / Biostatistician – Clinical & Real World Data (Pharma / Biotech

Data Scientist / Biostatistician – Clinical & Real World Data (Pharma / Biotech)

We are looking for a Data Scientist or Biostatistician with experience working on clinical trial and/or real-world healthcare data. In this role, you will support data analysis and insight generation across clinical and real-world datasets, helping translate complex healthcare data into meaningful outputs for decision-making.

You will work closely with cross-functional teams in a data-driven environment, contributing to projects related to clinical studies, real-world evidence (RWE), and healthcare data analysis.

Your responsibilities

• Analyse clinical trial and/or real-world datasets (e.g. EHR, claims, registries)

• Prepare, transform, and validate healthcare datasets for analysis and reporting

• Apply statistical or data science methods to generate insights from clinical data

• Work with structured and semi-structured healthcare data sources

• Support development of data pipelines and analytical workflows

• Collaborate with stakeholders to understand analytical needs and translate them into data solutions

• Contribute to data standardisation and transformation processes (e.g. CDISC, OMOP – if applicable)

• Ensure data quality, consistency, and compliance with industry standards

We’re looking for someone who has:

Experience

• 3–5+ years of hands-on experience working with clinical trial and/or real-world data

• Experience in pharma, biotech, CRO, or healthcare-related environments

• Practical experience working with datasets such as EHR, claims, registries, or clinical trial data

Technical skills

• Experience with Python, R, SQL, or SAS

• Strong data analysis and data manipulation skills

• Understanding of statistical methods or data science approaches applied to healthcare data

Nice to have

• Familiarity with clinical data standards such as CDISC (SDTM, ADaM), OMOP, or HL7

• Experience in real-world evidence (RWE) or real-world data (RWD) projects

• Experience working with large-scale healthcare datasets

Profile we’re looking for

• Strong analytical mindset and attention to data quality

• Ability to work with complex, real-world datasets

• Comfortable collaborating with both technical and non-technical stakeholders

• Detail-oriented and able to work in regulated environments

• Good communication skills in English