Statistician for “Non-Communicable Diseases and Environment” ( IMI-H2020-MOBILISE-D GA 820820 ) and “Childhood and Environment” Research Programmes (H2020-OBERON GA825712)
Instituto de Salud Global de Barcelona (ISGlobal)
Campus Mar - Barcelona
hace 6 días

What We Are Looking for

ISGlobal is seeking a statistician to join our dynamic team. The statistician will be involved in exciting projects related to physical activity / mobility, environmental exposures and health throughout the life span, with a strong focus on respiratory health.

The statistician will work with large datasets from multiple sources : clinical data with repeated measurements, environmental exposure data (e.

g., residential air pollution, chemicals), data from activity monitors including high-resolution time series data, among other data sources.

  • A key role will be acting as leading statistician in : (i) 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;
  • and (ii) the project entitled : An integrative strategy of testing systems for identification of EDs related to metabolic disorders (OBERON) .

    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, and Childhood and Environment Programme principal investigator Dr Maribel Casas, Assistant Research Professor.

    Field Research

  • Computer science
  • Mathematics
  • Training and experience / Qualifications

  • Higher education in Biostatistics or similar.
  • Knowledge of theoretical and applied statistics, including advanced statistical methods.
  • Programming using the main statistical tools and software in R and Stata.
  • Experience with mixed models for repeated measures data, use of quantitative methods, mediation analysis, hypothesis free methods and interpretation of longitudinal data derived from large cohort studies.
  • Experience in Data-management
  • Experience in paper writing for publications in journals and conference papers is desirable.
  • Key Responsibilities

  • Perform data cleaning and management
  • Perform statistical analysis of environmental, cross-sectional, longitudinal and experimental (RCT) data, in particular longitudinal cohort data.
  • Provide statistical support to the researchers of the team.
  • Additional responsibilities include the following

  • Contribute to scientific publications, reports, and grant applications.
  • Participate to protocol writing and statistical analysis plan elaboration.
  • Skills

  • Proficient use of statistical software R and STATA
  • Good verbal and written communication skills
  • Critical thinking skills and ability to work independently.
  • Excellent organizational skills and comfortable working in a multi-disciplinary, multi-cultural team.
  • Language Level

    Good level of the English (written and spoken).

    Conditions

  • Duration : until 31 / 12 / ( renewable)
  • Starting date : 03 / 10 /
  • Contract : (part or full time) FULL TIME
  • Salary Range : 36.€ GROSS SALARY (Technician I B)
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