Biologist Data Lead

hace 2 días

Valencia, Valencia, España Sebibc A tiempo completo

**About iPremom**

iPremom is a pioneering FemTech company dedicated to harnessing scientific expertise for the development of cutting-edge molecular tests aimed at early gestational disease diagnosis, particularly preeclampsia. Our core mission revolves around providing innovative solutions that safeguard women's and their children's health during pregnancy.

We strive to create a world where pregnant women feel confident about their well-being. Our team consists of experts in obstetrics, biotechnology, and computational biology who are passionate about enhancing maternal and fetal health.

**Job Description:**

We seek an accomplished Computational Biologist to assume the role of Data Science Lead, forming part of the computational biology research team at the Carlos Simon Foundation. This individual will focus on extracting valuable insights from extensive RNA sequencing data from human subjects, developing predictive models based on RNA sequencing data, and establishing a platform of pipelines to support these initiatives.

The successful candidate will collaborate closely with scientists, other professionals, and international collaborators from various national institutions to translate results into novel applications.

**Key Responsibilities:**

  • Developing and implementing scalable data pipelines to reach data-driven scientific conclusions;
  • Manipulating data sets and building statistical models in bioinformatics or any computational/quantitative biology field;
  • Designing and executing RNA sequencing-based transcriptomics analysis (e.g., normalization methods, differentially expressed genes, and feature selection for machine learning methods);
  • Implementing a variety of machine learning techniques (e.g., clustering, decision tree learning, and artificial neural networks) and their real-world advantages/drawbacks;
  • Leveraging advanced statistical techniques and concepts (e.g., regression, properties of distributions, and statistical testing) and experience with applications;

**Requirements:**

  • A Master's degree in statistics, mathematics, computer science, bioinformatics, biostatistics, or another related field;
  • Five or more years of experience (Ph.D. is a plus) manipulating data sets and building statistical models in bioinformatics or any computational/quantitative biology field;
  • Broad experience in designing and building scalable data pipelines to reach data-driven scientific conclusions;
  • Proficiency in statistical computer languages (Python, R) and scripting in Linux, Bash, and high-performance computing resources;
  • Knowledge of resource management with SLURM;
  • Version and project management with GitHub;
  • Experience in organizing results in reports or notebooks (e.g., Rmarkdown, Quarto, or Jupyter);
  • Ability to organize workloads and manage competing priorities;
  • Resolve, dynamism, and strong problem-solving skills;

**Desirable Skills:**

  • Management, leadership, and team supervision;
  • Knowledge of pregnancy complications and other somatic conditions;
  • Knowledge of modern biological data warehouses (SRA, GEO);
  • Experience with cloud computing platforms (AWS preferred);

**Salary:** $80,000 - $120,000 per annum, depending on qualifications and experience.

We offer a competitive salary package, reflecting your value to our organization.

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