Statistician for Mobilise-d

**Descripción**:
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 the following main areas, Malaria and other Infectious Diseases, Maternal, Child and reproductive Health, Urban Health and Child and environmental health, Climate & Non-Communicable Diseases. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

**Lugar**:

- ISGlobal - Campus Mar**What We Are Looking for**:
ISGlobal is seeking a statistician/data manager/data scientist to join our dynamic team. The statistician will be involved in the MOBILISE-D project, a 5-y private-public consortium funded by EC-IMI and aiming to measure and validate digital mobility outcomes in patients with chronic obstructive pulmonary disease (COPD), multiple sclerosis, Parkinson’s disease and hip fracture. The statistician will work with large datasets from multiple sources: clinical data with repeated measurements, environmental exposure data (e.g., residential air pollution), data from activity monitors including “high-resolution” time series data, among other data sources.
The role requires close collaboration with international project partners from a range of disciplines as well as researchers at ISGlobal. The successful applicant will be supervised by Non-Communicable Diseases and Environment Programme Head Dr Judith Garcia-Aymerich, Research Professor.

**Field Research**:

- Computer science
- Mathematics

**Key Responsibilities / Specific Duties**:

- Perform data cleaning and management from epidemiological and high-resolution data (e.g., body sensors data)
- Perform statistical analysis of longitudinal observational data, in particular time-series data and longitudinal cohort data.
- Provide statistical support to the researchers of the team.
- Participate to protocol writing and statistical analysis plan elaboration.

**Auxiliar task**:
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.

**Training and experience /Qualifications**:

- Higher education in Biostatistics or similar.
- Knowledge of theoretical and applied statistics.
- Programming using the main statistical tools and software in R and Stata.
- Experience in Data-management
- Experience in paper writing for publications in journals and conference papers is desirable.

**Specific Requirements**:

- Experience with high-resolution data will be an asset.

**Skills**:

- Proficient use of statistical software R and STATA
- Good verbal and written communication skills in English
- Critical thinking skills
- Excellent organizational skills
- Teamplayer, yet capable of working autonomously.
- Comfortable working in a multi-disciplinary, multi-cultural team.

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 accountable to ensure ISGlobal policies and procedures.

**Language level**:
Good level of the English (written and spoken).

**Conditions**:

- Duration: 24 months
- Starting date: ASAP
- Contract: Full time
- Salary Range: Technician IIA

**How to apply**:
**Applications will be accepted until 17.00 CET of the closing date.**
- In ISGlobal we are committed to maintaining and developing a work environment in which the values and principles of our organization are respected and equal opportunities between women and men be promoted in each of the areas in which we operate, not tolerating discrimination based on criteria such as age, gender, marital status, race, ethnicity, functional diversity, political leanings, religion, sexual orientation, gender identity or gender expression.