Principal RWD Biostatistician

Clinical Outcomes Solutions

Principal Biostatistician leading clinical studies and statistical analyses embedded with pharmaceutical client. Collaborating with teams to advance clinical development and insights through analysis.

Posted 7/20/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis and machine learning to support clinical development, with proficiency in R and Python for data analysis. Strong communication skills facilitate the clear presentation of analytical results to stakeholders.

Highest-signal resume keywords

Statistical AnalysisMachine LearningR ProgrammingClinical Trial SupportStatistical Modelling Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningR ProgrammingPython ProgrammingStatistical ModellingHypothesis TestingBayesian MethodsData InterpretationPredictive ModellingExploratory Analysis

Soft Skills

Analytical AbilityProblem-SolvingAttention to DetailCommunication SkillsCollaboration

Tools & Technologies

SASAWSMicrosoft AzureGCPSQLSparkDatabricksSnowflakeVersion Control SystemsGit

Industry Keywords

BiostatisticsClinical TrialsBiomedical DatasetsStatistical Analysis PlansClinical Study Reports

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Provide statistical input into clinical development plans, concept sheets, and study protocols.
Perform statistical analyses and interpret clinical trial data to support decision making.
Contribute to the preparation of statistical analysis plans (SAPs) and clinical study reports.
Develop and implement statistical and machine learning models to support analysis of clinical study data.
Write code to build and apply analytical models within study analyses, including predictive or exploratory modelling approaches where appropriate.
Apply statistical techniques, machine learning, or Bayesian methods to uncover insights in clinical datasets.
Design and perform hypothesis testing and exploratory analyses to support clinical development questions.
Conduct statistical analyses using R and/or Python, with SAS used where required.
Work primarily within the biostatistics team to deliver high-quality analyses for clinical studies.
Clearly communicate analytical results and statistical concepts to stakeholders within the study team.

Requirements

What you’ll need

Master’s degree in Statistics, Biostatistics, Mathematics, or a related quantitative discipline. PhD preferred but not required
Strong statistical and mathematical foundation with excellent logical reasoning skills
Industry experience supporting clinical trials is beneficial but not strictly required for candidates with strong quantitative backgrounds
Experience working with clinical or biomedical datasets is advantageous
Familiarity with cloud computing (AWS, Microsoft Azure, GCP (Google Cloud Platform)) and big-data environment (SQL, Spark, Databricks, Snowflake) – nice to have or bonus
Programming experience in R (required); Python is also beneficial.
SAS knowledge is advantageous, particularly for QC and regulatory outputs, but candidates with strong R/Python skills should be able to learn SAS quickly.
Familiarity with statistical modelling techniques, including regression, survival analysis, or Bayesian methods.
Exposure to machine learning approaches is desirable. Basic familiarity with version control systems (e.g., Git) or willingness to learn quickly.
Strong analytical and problem-solving ability.
High attention to detail and commitment to quality.
Ability to work independently and demonstrate initiative.
Strong communication skills and ability to explain statistical findings clearly.
Collaborative mindset and ability to work effectively within a statistical team environment.

Benefits

Comp & perks

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support.