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Senior Research Assistant (Data Management and Analysis)

Lyons

  • Organization: WHO - World Health Organization
  • Location: Lyons
  • Grade: GS-5, General Service - No need for Higher Education - Locally recruited position
  • Occupational Groups:
    • Statistics
    • Administrative support
    • Information Technology and Computer Science
    • Scientist and Researcher
  • Closing Date: 2022-08-19

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 senior research assistant (data management/analyst) position within the GEM branch manages, harmonizes and consolidates molecular, epidemiological and clinical data from the Mutographs, Prominent and other large GEM projects, liase with internal and external collaborators and participates in statistical analyses required.

DESCRIPTION OF DUTIES

  1. Manage the large GEM biorepository including over 50,000 biological samples collected over 3 decades from multiple partners.
  2. Manage data: import/receive data (from collaborators around the world), check for inconsistencies within and between contributing studies/centres, plan for and implement quality control and data harmonization and organize the database for downstream analyses integrating multiple data types (e.g. molecular, epidemiological, clinical data).
  3. Conduct statistical analyses: implement existing methodologies in standard statistical software (e.g. in R, SAS), including quality control of data and analyses. Ensure comprehensive documentation of the processes and programming steps, and contribute to sharing codes with the branch.
  4. 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.
  5. Facilitate resulting data visualization (graphs, tables…) for inclusion in scientific documents.
  6. 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).
  7. Liaise with other data management assistants of the branch to organize and document databases from previous and ongoing studies to facilitate current or future required analyses.
  8. 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

Due to the evolving situation resulting from the Covid-19 pandemic, and depending on work requirements, this position may be partly occupied remotely, from the home of the candidate selected in the region Lyon, according to the teleworking clause for force majeure currently in force as part of the IARC teleworking policy during this pandemic period.

WHO COMPETENCIES

  • Producing results
  • Moving forward in a changing environment
  • Fostering integration and teamwork
  • Technical expertise
  • Communication

REQUIRED QUALIFICATIONS

EDUCATION

Essential: Graduation from secondary school or equivalent, and subsequent training (BTS, DUT or quivalent) in the field of data management, computer science/programing, statistics or related field.

Desirable: Master's degree in computer science/statistics or related field.

PROFESSIONAL EXPERIENCE

Essential: At least five years’ experience in data management and analyses using scripting languages/programming (SAS 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.
  • Knowledge of various scripting/programing languages (SAS/R/ Unix/Linux).
  • Hands-on knowledge of large sets of health-related data analysis, preferable including genomic and epidemiological data.

REMUNERATION

The fixed remuneration for the above position currently amounts to EUR 3,544 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 contribute to and do not generate benefits in French mandatory schemes for health insurance (“assurance maladie”), pension (“assurance vieillesse/retraite or unemployment (“Pôle-Emploi”) throughout their period of employment with the Agency.

ADDITIONAL INFORMATION

  • This post is subject to local recruitment and will be filled by persons residing in the local commuting area of Lyon.
  • We only accept applications submitted via our online recruitment tool (applications for this position should be filled out in English and include a cover letter in English). Application profiles should include the details of all work experiences to date (including paid internships).
  • This vacancy notice may be used to fill other similar positions at the same grade level.
  • Only candidates under serious consideration will be contacted.
  • A written test and/or presentation may be used as a form of screening.
  • In the event that your candidature is retained for an interview, you will be required to provide, in advance, a scanned copy of the degree(s)/diploma(s)/certificate(s) required for this position. IARC/WHO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU)/United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed through the link: http://www.whed.net/. Some professional certificates may not appear in the WHED and will require individual review.
  • Any appointment/extension of appointment is subject to IARC/WHO Staff Regulations, Staff Rules and Manual.
  • For information on IARC’S operations please visit: www.iarc.fr
  • IARC/WHO is committed to workforce diversity.
  • IARC/WHO's workforce adheres to the WHO Values Charter and is committed to put the WHO Values into practice.
  • IARC/WHO has a smoke-free environment and does not recruit smokers or users of any form of tobacco.
  • Applications from women are encouraged.
We do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
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