Clinical trial Statistician

Fundación Carlos Simón para la Investigación en Salud de la Mujer; Comunidad Valenciana; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Join a pioneering foundation dedicated to women's health as a Clinical Trial Statistician in Valencia. You will play a critical role in statistical design and analysis for clinical trials, ensuring compliance with regulatory standards. Collaborate with a multidisciplinary team to enhance women's health research and contribute to impactful projects. This role offers a unique opportunity for professional growth in a supportive environment focused on improving the quality of life for women. If you are passionate about statistics and clinical research, this position is perfect for you.

Servicios

Professional development opportunities

Collaborative work environment

Participation in impactful research projects

Formación

• 3+ years of experience in clinical trial statistics.
• Expertise in SAP development and statistical reporting.

Responsabilidades

• Define statistical methodologies and sample sizes for clinical trials.
• Perform statistical analyses and generate reports.

Conocimientos

Statistical Analysis

Project Management

Data Validation

Communication Skills

Educación

University degree in Statistics

PhD in Statistics

Herramientas

SAS

R

SPSS

Descripción del empleo

About CARLOS SIMÓN FOUNDATION FOR RESEARCH IN WOMEN’S HEALTH

The Carlos Simon Foundation is offering an outstanding clinical trial statistician position in our research laboratory, based in Valencia, Spain.

The Foundation is a non-profit organization founded and directed by Carlos Simón, professor at the University of Valencia and renowned clinical researcher in obstetrics and gynecology. We comprise a multidisciplinary team of more than 30 professionals and work to create a world in which women's health pathologies that affect the uterus are no longer a barrier to their quality of life and reproductive desire. Our main activity is biomedical research in reproductive medicine and women's health, and the development of other initiatives aimed at improving our knowledge in the field and its application. Our organization is affiliated with the University of Valencia and the INCLIVA Health Research Institute (IIS INCLIVA), accredited by the Carlos III Health Institute, promoting educational access for our students and fostering the careers of our research team.

Key Accountabilities and Responsibilities :

Statistical Design of the Clinical Trial

• Define the appropriate statistical methodology according to the study protocol.
• Determine the optimal sample size and randomization of subjects if applicable.
• Define analysis strategies to evaluate the efficacy and safety of the treatment / medical device.

Preparation of the Statistical Analysis Plan (SAP)

• Write the Statistical Analysis Plan (SAP) detailing all the statistical methodologies to be used.
• Coordinate the review and approval of the SAP with other clinical and technical teams involved.
• Ensure that the SAP complies with regulatory regulations (FDA, EMA).

Statistical Analysis of Clinical Data

• Perform descriptive and inferential analyses to evaluate clinical trial results.
• Apply appropriate statistical tests (ANOVA, regression, survival models, etc.).
• Generate tables, graphs, and lists according to SAP.
• Evaluate the consistency and validity of the data through quality controls.

Coding and Analysis of Adverse Events (MedDRA)

• Apply MedDRA for coding adverse events and medical terms in the study.
• Validate the correct classification of adverse events and their impact on safety analysis.
• Coordinate with physicians and pharmacovigilance to ensure consistency in coding.

Statistical Reporting and CSR

• Write the statistical report of the study with the detailed presentation of the results.
• Contribute to the preparation of the Clinical Study Report (CSR) integrating statistical analysis.
• Present results in a clear and structured manner, facilitating their clinical interpretation and ensuring that information and results are clear, accurate, and understandable.

Regulatory Compliance and Method Validation

• Ensure that analyses comply with Good Clinical Practice (GCP) regulations.
• Collaborate on audits and regulatory reviews by providing statistical support.
• Document processes to ensure reproducibility and transparency of analysis.

Advice on Data Interpretation and Decision Making :

• Provide expert advice on the results of statistical analyses to facilitate decision-making within multidisciplinary teams (medical, scientific, regulatory, etc.).
• Propose adjustments or redesigns in statistical analyses as studies progress, considering preliminary results and the context of the clinical trial. To perform Interim Analysis if applicable.

Required skills and experience :

Academic Background :

• University degree in Statistics, Mathematics, Biostatistics, or related.
• A PhD or a comparable work experience in statistics applied to clinical trials.

Work Experience :

• Minimum 3 years of experience in statistics applied to clinical trials, with practical experience in managing several projects.
• Verifiable experience in the development of SAP, statistical final reports and CSRs in clinical trials.
• Management of adverse event coding using MedDRA and knowledge of other classifications such as CTCAE.
• Familiarity with international regulatory standards and statistical reporting requirements.

Technical Skills :

• Mastery of statistical tools such as SAS, R, SPSS or other programs used in the pharmaceutical industry.
• In-depth knowledge of experimental design, multivariate analysis and advanced statistical techniques.
• Experience or Knowledge in clinical trials with Bayesian design will be valued.
• Experience in validating data and executing data quality controls.

Soft Skills :

• Excellent project management, organization, task prioritization, and technical report writing skills.
• Clear communication skills, both written and verbal, to interact with multidisciplinary teams.
• Ability to work under pressure and manage multiple projects simultaneously.
• Attention to detail and rigor in data validation.

Labor conditions : Salary :

• Salary range will depend on the candidate´s previous track records and suitability of the candidate for the requested profile.

What do we offer?

• Participate in a research project framed within women’s health in a highly motivating team
• Opportunity for professional and personal growth.

Application Process :

Applications should be submitted by email to :

Please include CV, cover letter, and list of 2-3 references

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