Who are we:

Closed Loop Medicine is a fast growing, UK healthcare technology company developing an exciting portfolio of drug and digital combination products, transforming drug effectiveness through optimisation by providing every drug its real time digital companion to improve patient outcomes. The company has two primary products focused on individual solutions in Hypertension and Insomnia but is always innovating and currently developing our pipeline with a single-prescription combination product that caters to the needs of patients suffering from chronic disease. Ensuring that the patient and clinician are put at the centre of our product solutions is a key ambition.

Role summary:

We are seeking an enthusiastic and skilled Statistical Data Scientist to join our emerging Data Science and Analytics team within the Clinical Development function. In this role, you will contribute to clinical investigation, statistical data analysis, and the development of methodologies aimed at optimising medication dosing across various therapeutic areas. You will work on a range of activities, including study design, data analysis, and modelling, while collaborating with cross-functional teams and stakeholders.

Key Responsibilities:

Statistical Analysis and Modelling: Conduct statistical analyses and develop statistical/mathematical models using clinical trial data and real-world datasets.
Data Science and Analytics: Utilise traditional statistical methods and modern data science approaches to derive insights and support clinical development strategies.
Methodology Development: Assist in developing and expanding CLM’s dose optimization methodologies for diverse therapeutic areas, involving a variety of approaches including pharmacokinetic-pharmacodynamic (PK-PD) modelling, machine learning and other predictive modelling.
Collaboration: Work collaboratively with internal teams (technology, regulatory, product, and design) and external experts to support clinical research efforts.
Communication: Effectively communicate technical concepts and findings to stakeholders with varying levels of expertise.
Independent and Team Work: Demonstrate the ability to work both independently and as part of a team, showing initiative and self-motivation.
Continuous Learning: Stay updated on advancements in statistical methodologies, data science, and AI, as well as developments in the therapeutic areas relevant to your role.

Essential Skills and Qualifications:

Educational Background: Master’s degree in Statistics, Bioinformatics, Data Science, Computer Science, Machine Learning, or a related field.
Professional Experience: Proven experience in statistical data analytics, data science, or a related field with a minimum of two years experience working with a role.
Technical Expertise: Proficiency in statistical and data science methodologies, including experience with analytical software and programming languages such as Python, R, etc.
Data Handling: Experience in data quality control, data manipulation, and feature engineering.
Communication Skills: Strong written and verbal communication skills with the ability to convey technical information effectively.
Attention to Detail: High standard of attention to detail and commitment to producing high-quality work.
Teamwork and Independence: Ability to work effectively both as part of a team and independently, managing multiple priorities and meeting deadlines.

Desirable Skills and Qualifications:

Experience within Bioinformatics, Data Science, Machine Learning, or a related field.
Healthcare Data Knowledge: Understanding of healthcare data and experience with analysing large real-world datasets or clinical trials.
Machine Learning: Exposure to machine learning methods and practical applications.
PK-PD Modeling: Experience or familiarity with PK-PD modelling concepts.
Bayesian Approaches: Knowledge of Bayesian statistical modelling techniques.

What benefits does CLM offer:

Hybrid working policy - Employees can chose the days they work from our Kings Cross, London office, we have no set minimum days, but a maximum of 10 days per month.
Enhanced annual leave - 25 days plus 3 days for Christmas shutdown annually
Private Medical Insurance plus Healthcare Cash Plan from successful completion of probation
8% fixed pension employer contribution minimum from day one of employment
Life Insurance - 4x salary from day one of employment.
Enhanced family leave

Closed Loop Medicine

New Jobs

Statistical Data Scientist