Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism

Description

The posting lists the job title as Director SSU and Site Partnership. The role sits in the Early CVRM (Cardiovascular, Renal and Metabolism) Data Science and AI department in Cambridge, US.

The team works with complex data from early clinical trials, outside academic collaborations and exploratory studies, including omics, imaging and clinical measurements.

The company uses digital, data science and AI to drive its next wave of scientific progress.

Posted 29-Oct-2026. Closes 12-Nov-2026.

Responsibilities

• Work through large, intricate datasets, such as exploratory biomarker results from clinical trials, and draw out what they show.
• Check existing drug targets using data-driven methods.
• Find new drug targets and biomarkers that can help modify disease and sort patients into subgroups.
• Combine large data sources such as genetics, dynamic omics, clinical observations and electronic health records, and analyse them together.
• Work with internal and external partners to obtain, evaluate and apply suitable data sources.
• Turn data findings into results that inform drug discovery and development.

Requirements

• Strong quantitative training, with a PhD or equivalent experience in bioinformatics, systems biology, statistics, data science or another quantitative field.
• 6 years of experience.
• Deep knowledge of cardiovascular, renal or metabolic disease biology, and experience analysing related molecular and exploratory clinical data.
• Experience applying computational, statistical and machine learning methods to handle, visualise and analyse large, complex datasets.
• Proficiency in R and Python, plus Unix/Linux and shell scripting.
• Strong consulting, communication and presentation skills.
• Desirable: understanding of biological systems and signalling involved in cardiometabolic disease.
• Desirable: working knowledge of statistical analysis, including experimental design, linear and nonlinear models, mixed effect models, exploratory biomarkers, diagnostic analysis, applied Bayesian statistics, data mining, multivariate analysis and statistical learning.
• Desirable: experience leading statistical analysis projects tied to drug discovery.

Conditions

Work face-to-face in the office 3 days a week, with flexibility to balance personal and work commitments.

The head office is designed so teams can meet to plan, brainstorm and connect on key projects.

The role is based in Cambridge, US.

The company encourages collaboration across teams, functions and locations.

All qualified applicants are considered regardless of protected characteristics, and accommodation is available for disabilities or special needs.

Benefits

• Annual base pay (or hourly rate) of $143,323 to $214,984.
• Eligibility for short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
• Qualified retirement programs.
• Paid time off, including vacation, holidays and leave.
• Health, dental and vision coverage under the terms of the applicable plans.