Data Scientist

Madrid - Spain

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full service-capabilities resourcing and Functional Service (FSP) solutions.

Join Our Team as a Data Scientist

About this role

The Data Scientist will be responsible for designing developing and implementing advanced analytical models to generate insights from clinical epidemiological and digital innovation data in the healthcare field.

The role will actively contribute to collaborative projects between the provider and public entities (hospitals foundations regional health systems) aimed at driving innovation efficiency and evidence generation within the healthcare system.

Key Responsibilities:

Explore opportunities for analytical innovation through the use of generative AI NLP and automation applied to process and reporting improvements.
Design and execute analyses of structured and unstructured data from health innovation projects clinical registries and public sources.
Collaborate with other involved departments to transform data into actionable evidence that supports strategic decision-making.
Develop predictive models machine learning algorithms and visualization tools to enhance efficiency and decision-making in digital health projects.
Define KPIs dashboards and impact assessment methodologies for projects with public entities.
Ensure data quality integrity and traceability.
Support the preparation of reports and result summaries for medical technical or institutional teams.

Qualifications:

Degree in Mathematics Statistics Engineering Bioinformatics Health Sciences or a related field.
Minimum of 2 years of experience in healthcare data analysis RWE projects or collaborations with hospitals or public entities.
Proficiency in Python R and analytical tools (Pandas Scikit-Learn TensorFlow Power BI etc.).
Knowledge of clinical data environments and standards (FHIR CDISC EDCs etc.).
Ability to work in multidisciplinary environments.
High level of English (C1 or above).
Previous experience in the pharmaceutical industry or CROs.
Knowledge of healthcare impact assessment or cost-effectiveness methodologies.
Familiarity with NLP techniques and AI models applied to clinical data analysis.
Experience working with research foundations or public health systems.

What We Offer

We provide a competitive compensation package comprehensive benefits and the opportunity for personal and professional growth in a rewarding environment. Youll be joining a team that values collaboration innovation and making a difference in the lives of patients

A Bit More About Us

Our journey began over 27 years ago in Sweden in the city of Lund. As a full-service global Contract Research Organization (CRO) we build solution-driven teams working towards a healthier future. Bringing together over 800 professionals TFS delivers tailored clinical research services in more than 40 countries with flexible clinical development and strategic resourcing solutions across key therapeutic areas including Dermatology Neuroscience Oncology and Ophthalmology.

Our core values of Trust Quality Passion Flexibility and Sustainability are our guiding light serving as the framework for decision-making at all levels of the organization. They assist us in attracting and retaining valuable talent who share our sentiments resulting in high employee engagement and satisfaction. By aligning on these fundamental values we cultivate a unified force geared towards innovation and excellence. This collective effort propels us towards our shared goal and fosters a culture of mutual respect and collaboration. Together we make a difference.

Join Our Team as a Data Scientist

About this role

Key Responsibilities:

Explore opportunities for analytical innovation through the use of generative AI NLP and automation applied to process and reporting improvements.
Design and execute analyses of structured and unstructured data from health innovation projects clinical registries and public sources.
Collaborate with other involved departments to transform data into actionable evidence that supports strategic decision-making.
Develop predictive models machine learning algorithms and visualization tools to enhance efficiency and decision-making in digital health projects.
Define KPIs dashboards and impact assessment methodologies for projects with public entities.
Ensure data quality integrity and traceability.
Support the preparation of reports and result summaries for medical technical or institutional teams.

Qualifications:

Degree in Mathematics Statistics Engineering Bioinformatics Health Sciences or a related field.
Minimum of 2 years of experience in healthcare data analysis RWE projects or collaborations with hospitals or public entities.
Proficiency in Python R and analytical tools (Pandas Scikit-Learn TensorFlow Power BI etc.).
Knowledge of clinical data environments and standards (FHIR CDISC EDCs etc.).
Ability to work in multidisciplinary environments.
High level of English (C1 or above).
Previous experience in the pharmaceutical industry or CROs.
Knowledge of healthcare impact assessment or cost-effectiveness methodologies.
Familiarity with NLP techniques and AI models applied to clinical data analysis.
Experience working with research foundations or public health systems.