Clinical Data Scientist
Barcelona, España
Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. We deliver an innovative, science-based portfolio of premium flagship brands and services that span the full spectrum of the fast-growing dermatology market through Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals. Because we understand that the skin, we are in shapes our lives, we are advancing dermatology for every skin story.
We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.
At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact.
Further supporting our growth and innovation momentum, we are establishing a new Global Capability Center in Barcelona to deploy new capabilities to effectively support its global commercial and functional teams. Located in the upscale Eixample District in the heart of Barcelona, Galderma’s Global Capability Center offers numerous possibilities for professional development such as exposure to global and cross-functional projects and access to global career opportunities.
Job Title: Clinical Data Scientist / Biostatistician
Location: Barcelona, Spain (hybrid)
Job Description
As part of our increasingly data-driven Research and Development organization, we are creating a new position for a passionate and skilled Clinical Data Scientist / Biostatistician to join our clinical development team dedicated to cosmetic products.
The candidate will be involved in building and implementing our new department digital transformation. More specifically, this role will be responsible for analyzing and interpreting complex datasets to support the development, testing, and optimization of cosmetic products. This role requires expertise in data science and analysis, statistical modeling, AI and machine learning, and the ability to work collaboratively with multidisciplinary teams. Knowledge of clinical development, particularly in the cosmetics industry, would be a plus.
The role reports to Director, Global Clinical Innovation and Skin Evaluation.
Key Responsibilities
- Build, implement and maintain department digital transformation strategy with Director of Clinical Innovation & Skin evaluation and Head of Department
- Analyze large clinical study datasets to identify trends, patterns, and insights that can guide product development.
- Develop and implement predictive models and algorithms to improve product efficacy and safety.
- Collaborate with clinical researchers and product development teams to design experiments and validate cosmetic formulations.
- Contribute to the drafting of study protocols, identify key efficacy criteria, and develop real-time dashboards for data monitoring.
- Work with our preferred vendors to ensure data quality and integrity by developing and applying guidelines for data collection and processing, as well as automating data collection.
- Create data visualizations and reports to communicate findings to stakeholders and facilitate decision-making.
- Stay up to date with industry trends, new technologies, and best practices in data science and clinical research.
Skills & Qualifications
- Degree in Biostatistics or Engineering.
- At least 2 years of successful experience in clinical data analysis, Artificial Intelligence and Machine Learning models
- Proficiency in programming languages such as Python or R, as well as data visualization tools (R Shiny, Power BI).
- Excellent problem-solving skills and the ability to work both independently and in a team.
- Strong written and verbal communication skills to convey complex insights to non-technical stakeholders. Knowledge of clinical trial processes and regulatory requirements in the cosmetics industry.
- Experience in digital transformation within the healthcare sector would be a plus.
- Understanding of cosmetic product development and formulation.
What we offer in return
- You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base.
- You will receive a competitive compensation package with bonus structure and extended benefit package.
- You will be able to work in a hybrid work culture.
- You will participate in feedback loops, during which a personalized career path will be established.
- You will be joining a growing company that believes in ownership from day one where everyone is empowered to grow and to take on accountability.
Next Steps
- If your profile is a match, we will invite you for a first virtual conversation with the recruiter.
- The next step is a virtual conversation with the hiring manager.
- The final step is a panel conversation with the extended team.
Our people make a difference
At Galderma, you’ll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biostatistics Data analysis Data quality Data visualization Engineering Excel Machine Learning ML models Power BI Privacy Python R Research Statistical modeling Statistics Testing
Perks/benefits: Career development Competitive pay Salary bonus
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