Sr. Research Assistant

Il y a 2 mois

Lyon, France World Health Organization Temps plein

**Grade***: G5

**Contractual Arrangement***: Temporary appointment under Staff Rule 420.4

**Contract Duration (Years, Months, Days)***: 1 year

**Job Posting***: Feb 24, 2023, 7:32:37 AM

**Closing Date***: Mar 17, 2023, 5:59:00 PM

**Primary Location***: France-Lyon

**Organization***: Genomic Epidemiology

**Schedule***: Full-time

**PURPOSE OF POSITION**

The International Agency for Research on Cancer (IARC), is the cancer agency of the World Health Organization (WHO) and is based in Lyon, France. The objective of the

IARC is to promote international collaboration in cancer research.

The major focus of the Genomic Epidemiology Branch (GEM) is to coordinate and lead several major consortium-based epidemiological and molecular studies to better understand the causes of cancer, and contribute to risk prediction and early detection. This notably includes collection and generation of molecular data (e.g. genomics, metabolomics) and different lifestyle and environmental information across cancer populations.

The aim of the position is to manage, harmonize and consolidate molecular, epidemiological and clinical data from the Mutographs, Prominent and other large GEM projects, identifies, develops and applies software tools for efficient data integration and for mining diverse types of biological data, liaise with internal and external collaborators and participates in statistical analyses required.

**DESCRIPTION OF DUTIES**
- Organize the GEM project databases for downstream analyses integrating multiple data types (e.g. molecular, epidemiological, clinical data).
- Propose and implement novel bioinformatics analysis strategies adapted to analytical needs:

- Build innovative frameworks for data integration and automated data mining.
- Develop reusable libraries and implement best coding practices to build and continually improve the branch computational capabilities and workflows.
- Conduct statistical analyses: implement existing methodologies in standard statistical software (e.g. in R, SAS, Python), including quality control of data and analyses.
- Facilitate access, storage, manipulation of high-dimensional data from external collaborators and other sources such as public repositories; and reciprocally, format data for submission to central repositories.
- Facilitate resulting data visualization (graphs, tables ) for inclusion in scientific documents.
- Act as the main point of contact for GEM with internal and external collaborators to ensure that data is provided and received in a timely and secure manner and/or provide applicable guidance (e.g. data transfer, data structure).
- Liaise with other data management/analyst assistants of the branch to organize and document databases from previous and ongoing studies to facilitate current or future required analyses.
- Participate in the identification of strengths and limitations of strategies for quality control and analyses of data generated by the branch activities. Provide technical guidance to GEM staff as well as to Early Career and Visiting Scientists, as required

**COVID-19 MEASURES**

**WHO COMPETENCIES**
- Producing results*
- Teamwork*
- Communication*
- Moving forward in a changing environment
- Technical expertise

**REQUIRED QUALIFIC**A**TIONS**

**EDUC**A**TION**

**Essential**: Graduation from secondary school or equivalent, and subsequent training (BTS, DUT or equivalent) in the field of bioinformatics, life sciences, computer science/programing, statistics or related field.

**Desirable**:University degree in bioinformatics, computer science/statistics or related field.

**PROFESSIONAL EXPERIENCE**

**Essential**:

- At least five years’ experience with high performance computing and/or cluster management using scripting languages/programming (Python and/or R).
- Hands-on experience with REDCap data platform.

**Desirable**:Experience in research environment. Experience in other programming languages using Unix/Linux environment.

**USE OF LANGUAGE SKILLS**

Expert knowledge of English is essential. Intermediate knowledge of French is desirable.

**SKILLS**

**Essential**:

- Data management including epidemiological, clinical and large sets of genomic data.
- Hands-on knowledge of large sets of health-related data analysis, including proven track record in analyses of one or more genomic techniques.

**REMUNERATION**

The fixed remuneration for the above position currently amounts to **EUR 3,615** per month, and is expressed net of income tax but before deduction of the employee share contributions for mandatory participation in the United Nations Joint Staff Pension Fund (UNJSPF) and in the Organization’s private insurance plans covering health, accident, illness and disability.

Other benefits include different types of leave and allowances for dependent family members.

Employment status is that of an international civil servant.

Note: due to the legal status of WHO/IARC as an international organization, its staff do not co

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