Junior Data Scientist

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT's mission is to connect the world's best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of AAVantgarde Bio, GT is looking for a Junior Data Scientist interested in the healthtech, ophthalmology, and gene therapy domains.

About the Client & the Project

AAVantgarde Bio is an international clinical-stage biotechnology company developing next-generation gene therapies for inherited retinal diseases. The company has created two proprietary technologies that enable the delivery of large genes into human cells, overcoming one of the major limitations of traditional gene therapy approaches. These platforms are already being validated in clinical trials, with the potential to expand into multiple disease areas beyond ophthalmology.

Headquartered in Milan, AAVantgarde operates with a growing international team and a strong focus on translating advanced science into real patient impact. The company was founded by Professor Alberto Auricchio, a globally recognised pioneer in gene therapy.

• Founded: 2021

• Series B startup

About the Role

The Junior Data Scientist is a role that sits at the intersection of clinical data management, data science, statistics, and regulated analytics within an ophthalmology-focused gene therapy environment.

This is an early-career position, designed for someone eager to build hands-on experience with clinical trial data, ophthalmology endpoints, and GCP/GDPR-compliant data practices. You will support high-quality clinical data delivery through internal oversight of CRO Data Management activities, independent data quality checks, and contribution to analytics-ready datasets using modern programming and statistical tools.

Responsibilities:

• Support internal oversight of CRO Data Management teams, ensuring data quality, timelines, and standards

• Review clinical data for completeness, consistency, and analysis readiness

• Perform independent data quality checks, exploratory analyses, and consistency reviews

• Identify, document, and communicate data issues, trends, and risks with clear recommendations

• Build working knowledge of ophthalmology endpoints, imaging-based data, and disease-specific outcomes

• Use Python and/or SAS to support data cleaning, validation, and exploratory analysis

• Query and curate clinical data using Snowflake or similar cloud data platforms

• Apply foundational statistical methods to support data review and insight generation

• Handle clinical data in compliance with GCP, GDPR, and internal governance requirements

• Collaborate with Biometrics, Clinical Operations, and external vendors to support data-driven decisions

Requirements:

• Degree in a quantitative or scientific discipline (e.g. statistics, data science, bioinformatics, mathematics, engineering, life sciences)

• Foundational knowledge of statistics and analytical reasoning

• Experience with, or strong aptitude for, Python and/or SAS

• Familiarity with SQL and modern data platforms (Snowflake or equivalent)

• Strong interest in clinical research, ophthalmology, or regulated environments

• Awareness of GCP principles and GDPR / data protection requirements

Nice-to-have

• Exposure to clinical trials, ophthalmology data, or imaging-based endpoints

• Experience interacting with CROs or vendor oversight models

• Data visualisation or dashboarding experience

• Awareness of AI or LLM applications in healthcare or life sciences

• Prior experience in GxP-regulated environments

Soft Skills

• Curious, proactive, and eager to learn

• Detail-oriented with a strong quality mindset

• Comfortable in fast-paced, high-accountability environments

• Collaborative and clear in communication with technical and non-technical stakeholders

• Able to balance innovation with compliance

Interview Steps

1. GT interview with Recruiter

2. Client interview

3. Final interview

We go beyond usual perks… By working with us, you will get:

• Health insurance.

• Psychotherapy coverage.

• Sport coverage.

• Learning budget.

• 18 business days of paid vacation days per year.

• Paid sick leaves.

• All public holidays are paid days off.

GT working model:

You will work directly with a client through our Extended Team model. We try to do things differently and put our efforts into integrating you as deeply as possible into the client's team. You work with the same tools and technologies as they do and are managed directly by the client without any intermediary in between. We help you build relationships and create an environment where you genuinely feel like a member of the client's team. We also encourage trips to a client and join teambuilding and after-work activities. Our Extended Team model is focused on long-term projects that last over several years.

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