Ref. 82-2023 Biostatistician for Oncology Research (Process closed)

The Vall d´Hebron Institute of Oncology (VHIO) Seeks a “Biostatistician for Oncology Research

 

Reference: Ref. 82-2023

Application deadline: 21/01/2024

Number of vacancies: 1

 

Job description:

We are looking for a candidate to fill the position of Biostatistician to join the statistics unit for oncology research at the Vall d’Hebron Institute of Oncology (VHIO) in Barcelona, Spain.

The tasks to be performed will include:

  • Conducting automated statistical analyses for clinical and preclinical studies.
  • Designing and developing new tools and web applications for clinical research.
  • Building prognostic and predictive models for the validation of biomarkers in oncology.
  • Reviewing documents related to research projects, preparing statistical analysis plans (SAP), and statistical reports.
  • Designing phase I/II/III studies in oncology research.
  • Applying advanced biostatistical programming knowledge to support sample size calculations, statistical power, and the design/application of algorithms for health data analysis (survival analysis, etc.).
  • Staying updated on cancer research and statistical methodologies used.
  • Drafting statistical methods in the scientific publications of the center.
  • Internal and external communication in scientific activities.

 

Requirements:

  • Bachelor’s or master’s degree in Biostatistics, Statistics, Data Science, or relevant experience/master’s in a related field.
  • Ability to plan, create, program, and manage complex statistical computer databases.
  • Motivation to learn.
  • Skills in the use of database management software.
  • The candidate must have a solid understanding of the application of biostatistical methods acquired through experience and education.
  • Experience in clinical research in a (bio)medical or academic setting at research centers (clinical and/or preclinical) and knowledge of molecular biology will be appreciated.
  • Computer and analytical skills, proficiency in R programming, knowledge of SAS, Python, SQL, and other programming languages will also be considered favorably.
  • Proficiency in spoken and written Spanish and a good level of English.

 

Additional information: 

This is a position within a dynamic and ambitious group with international projection. You will work by interacting with oncologists and hematologists, clinical trial coordinators, and collaborating with molecular prescreening programs and preclinical research laboratories.

We are looking for an individual with organizational and coordination skills, autonomy, a results-oriented mindset, and teamwork abilities. The role will be under the supervision of the new “Statistics Unit for Oncology Research” at the Vall d’Hebron Institute of Oncology (VHIO) and will collaborate with statisticians, data scientists, data curators, biomedical engineers, clinical informaticians, and others.

 

Application:

The candidate interested in the position should submit the CV along with a cover letter and motivation letter through the form or by sending an email to selecciorrhh@vhio.net, specifying “Ref. 82-2023” in the email subject. 

 

About VHIO:

Under the leadership of Josep Tabernero, the Vall d’Hebron Institute of Oncology (VHIO), has established itself as a comprehensive cancer center of proven excellence internationally. It is also thanks to VHIO’s optimal organizational structure based on a purely multidisciplinary and translational model that VHIO talents continue to anticipate and tackle the many unresolved questions in combatting this multifaceted and heterogeneous disease.

Located within the Vall d’Hebron Barcelona Hospital Campus, our researchers closely collaborate and interact with Vall d’Hebron physician-scientists. Translational science and clinical research are therefore tightly connected which promotes superb interaction and teamwork which, in turn, accelerates the bench-bedside-bed cycle of knowledge. This privileged environment affords VHIO direct access to patients as well as the entire spectrum of oncology professionals who care for them, and a second-to-none appreciation of how cancer science can translate into more powerful, targeted treatments and better practice for the care of patients.

VHIO’s pioneering model and programs, coupled with its belief in combining strengths through cross-border collaborations, continue to spur advances in reversing cancer resistance, halting metastatic spread, and more effectively treating even the most undruggable tumor types.

 

VHIO’s translation toward precision oncology: https://www.vhio.net

 

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