Senior Computational Biologist for RNA Sequencing Analysis
hace 1 mes
**About iPremom**
iPremom is a pioneering FemTech company dedicated to harnessing scientific knowledge and converting it into molecular tests for early diagnosis of gestational diseases like preeclampsia. Our mission is to create innovative solutions that safeguard women's health during pregnancy, ultimately shaping a world where expecting mothers can live free from health anxiety.
Job Overview:
We are seeking an exceptional Data Science Lead to spearhead data analysis efforts at iPremom, as part of our computational biology research team at the Carlos Simon Foundation. This role demands expertise in extracting valuable insights from extensive RNA sequencing data from human subjects, designing predictive models based on RNA sequencing data, and developing a platform of pipelines to support these endeavors.
The ideal candidate will collaborate closely with scientists, professionals, and collaborators from various national and international institutions to translate results into novel applications. Their ultimate goal will be to contribute significantly to advancing maternal and fetal health through cutting-edge biotechnology.
Key Responsibilities:
- Leading data manipulation and statistical modeling tasks in bioinformatics or any quantitative biology field;
- Designing and building scalable data pipelines to inform data-driven scientific decisions;
- Mastery of programming languages (Python, R) and scripting in Linux, Bash, and high-performance computing resources;
- Familiarity with resource management using SLURM;
- Expertise in RNA sequencing-based transcriptomics analysis, including normalization methods, differentially expressed genes, and feature selection for machine learning techniques;
- Proficiency in various machine learning approaches (clustering, decision tree learning, and artificial neural networks), along with their real-world advantages and drawbacks;
- Detailed understanding of advanced statistical concepts and techniques (regression, properties of distributions, and statistical testing);
- Experience in organizing project outcomes in reports or notebooks (Rmarkdown, Quarto, or Jupyter);
- Able to manage competing priorities effectively and provide optimal solutions.
Preferred Qualifications:
- Leadership, management, and team supervision skills;
- Familiarity with pregnancy complications and other somatic conditions;
- Knowledge of modern biological data warehouses (SRA, GEO);
- Experience with cloud computing platforms (AWS preferred).
Compensation Package:
The salary for this position is approximately $120,000-$150,000 per annum, depending on qualifications and experience.
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