Bioinformatician for Study of The External Exposome And..

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases and Maternal Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

**WHAT WE ARE LOOKING FOR**:
ISGlobal is looking for a bioinformatician who is interested in taking over and managing activities of the EXOMAIR project during 4 months. The project aims to evaluate the longitudinal associations of exposome and life style habits with cardiometabolic health in prospective cohorts of children with obesity to get a deeper understanding of the underlying metabolics, genetics and epigenetics architecture of the obesity associated insulin resistance (IR) development during the pubertal maduration and to assert its impact on metabolic health at pubertal stage and adulthood. Generating a better classification of obese patients according to different multi-omics molecular backgrounds.

**KEY RESPONSIBILITIES**:

- Data Preparation and Exploratory Data Analysis (EDA): Conduct an extensive EDA to ensure data harmonization, cleaning, and preparation for analysis.
- Exposome-Wide Association Studies (ExWAS) for Single-Exposure Models: Perform ExWAS to evaluate single-exposure associations while correcting for multiple testing.
- Development of Multi-Exposure Models: Develop models to evaluate the simultaneous effects of multiple exposures, addressing co-exposure issues.
- Multi-omics analyses: eQTMS, mQTLs, Mendelian Randomization Analysis.
- Results Reviewing and Sensitivity Analyses for Results Refinement: Perform sensitivity analyses to ensure robustness and revise results through re-analyses and subgroup testing.

**SPECIFIC DUTIES**:

- Clean data (imputation, outliers, duplicates, error checking, etc.).
- Transform data (z-score normalization by sex).
- Adjust for confounders (identification and residualization).
- Perform correlation analysis.
- Conduct cross-sectional and prospective ExWAS analyses with correction for multiple testing.
- Review results and perform sensitivity analyses (e.g., subgroups by sex).

**AUXILIAR TASKS**

This job description reflects the present requirements of the post but may evolve at any time in the future as duties and responsibilities change and/or develop providing there is appropriate consultation with the post-holder.

**SKILLS**:

- Strong teamwork skills with a proven ability to collaborate within multidisciplinary teams.
- Problem-solving abilities, particularly in handling complex datasets with multiple exposures.
- Eagerness to learn and a strong capacity for self-directed learning.
- Adaptability and a proactive learning mindset to refine techniques and adopt new methodologies.

The post holder will adhere to ISGlobal principles contained in **People management policy, including Equity, diversity and health safety**. The post holder will respect, and be accountable to ensure ISGlobal policies and procedures.

**TRAINING AND EXPERIENCE / QUALIFICATIONS**:

- A Bachelor's Degree in Biological Sciences, with a strong emphasis on Biochemistry or Biomedicine. Other relevant science degrees may also be considered.
- Proven experience analysing clinical and omics data from population-based cohort studies, with expertise in bioinformatics tools and data analysis.

**SPECIFIC REQUIREMENTS**:

- Proven experience in managing complex datasets, including data cleaning, imputation, normalization, and handling of missing data.
- Strong foundation in statistical analysis techniques, including regression analysis. Proficiency in R and Python programming for data analysis, with additional experience in other programming languages considered an asset.
- Familiarity with statistical software (e.g., SPSS).
- Competent in report writing, with proficiency in LaTeX for structured documents.

**LANGUAGE LEVEL**:

- C1 level of proficiency in English

**CONDITIONS**:

- Duration: 4 months
- Starting date: 16/06/2025
- Contract Type: Full time
- Salary: Predoc Technician II D

**HOW TO APPLY**:
**SELECTION PROCESS**:
The selection process is designed in two phases:
1- Interview phase of a technical nature, with the team that requires the incorporation. To assess the person's skills and CV.
2 - Meeting with HR with the finalist(s) to finish assessing the profile and discuss contractual and institutional issues.

If needed any technical test could be passed. A Psychological Competency Evaluation Tes