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Sr Research Assistant (Data management & Analysis)

Lyon

  • Organization: WHO - World Health Organization
  • Location: Lyon
  • Grade: Administrative support - 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: 2024-02-08

PURPOSEOFPOSITION

The International Agency for Research on Cancer (IARC) is the specialized cancer agency of the World Health Organization. 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 the collection of a large number of human samples and generation of molecular data (e.g. genomics, metabolomics) 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.

DESCRIPTIONOFDUTIES

Under the supervision of the Scientist GEM (deputy branch head), and overall guidance of the Scientist (GEM branch head), the incumbent will perform the below tasks:

1)Organize the GEM project databases for downstream analyses integrating multiple data types (e.g. molecular, epidemiological, clinical data).

2)Propose and implement novel bioinformatics analysis strategies adapted to analytical needs:

a.Build innovative frameworks for data integration and automated data mining.

b.Develop reusable libraries and implement best coding practices to build and continually improve the branch computational capabilities and workflows.

3)Conduct statistical analyses: implement existing methodologies in standard statistical software (e.g. in R, SAS, Python), including quality control of data and analyses.

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)Apply methods within high performance computational environments for analysis of complex datasets.

6)Facilitate resulting data visualization (graphs, tables…) for inclusion in scientific documents.

7)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).

8)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.

9)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.

WHOCOMPETENCIES

·Producing results

·Teamwork

·Communication

·Moving forward in a changing environment

·Technical expertise

REQUIREDQUALIFICATIONS

EDUCATION

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.

PROFESSIONALEXPERIENCE

Essential:At least five years’ experience with high performance computing and/or cluster management using scripting languages/programming (Python and/or R).

Desirable:

·Experience in research environment.

·Experience in other programming languages using Unix/Linux environment.

·Hands-on experience with REDCap data platform.

USEOFLANGUAGESKILLS

Essential: Expert knowledge of English.

Desirable:Intermediate knowledge of French.

FUNCTIONAL SKILLS AND KNOWLEDGE

·Data management including epidemiological, clinical and large sets of genomic data.

·Knowledge of various scripting/programing languages (Python/R/ Unix/Linux) and their application in appropriate computational environments.

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

OTHER SKILLS ( IT SKILLS)

·Excellent knowledge of Microsoft 365 package.

REMUNERATION

The fixed remuneration for the above position currently amounts to EUR 3,766 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.

ADDITIONALINFORMATION

·This vacancy notice may be used to fill other similar positions at the same grade level or lower.

·This post is subject to local recruitment and will ideally be filled by persons residing within the local commuting area of the duty station.

·Only candidates under serious consideration will be contacted.

·A written test and/or presentation/seminar may be used as a form of screening.

·If 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.

·According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible.

·Any appointment/extension of appointment is subject to WHO Staff Regulations, Staff Rules, and Manual noting that first year of fixed term contracts is a probationary period which may be extended subject to performance evaluation.

·For information on IARC’s operations please visit: https://www.iarc.who.int, and for more general information on WHO's operations please visit: http://www.who.int.

·IARC/WHO is committed to creating a diverse and inclusive environment of mutual respect. The IARC/WHO recruits and employs staff regardless of disability status, sex, gender identity, sexual orientation, language, race, marital status, religious, cultural, ethnic, and socio-economic backgrounds, or any other personal characteristics.

·IARC/WHO is committed to achieving gender parity and geographical diversity in its staff. Women, persons with disabilities, and nationals of unrepresented and underrepresented Participating Stateshttps://www.iarc.who.int/equity-diversity-and-inclusion-at-iarc are strongly encouraged to apply for IARC/WHO jobs. Persons with disabilities can request reasonable accommodations to enable participation in the recruitment process. Requests for reasonable accommodation should be sent through an email to reasonableaccommodation@who.int

·An impeccable record for integrity and professional ethical standards is essential. IARC/WHO prides itself on a workforce that adheres to the highest ethical and professional standards and that is committed to put the IARC/WHO Values Charter https://www.iarc.who.int/about-iarc-who-ethics into practice.

·IARC/WHO has zero tolerance towards sexual exploitation and abuse (SEA), sexual harassment and other types of abusive conduct (i.e., discrimination, abuse of authority and harassment). All members of the IARC/WHO workforce have a role to play in promoting a safe and respectful workplace and should report to IARC/WHO any actual or suspected cases of SEA, sexual harassment, and other types of abusive conduct. To ensure that individuals with a substantiated history of SEA, sexual harassment or other types of abusive conduct are not hired by the Organization, IARC/WHO will conduct a background verification of final candidates.

·IARC/WHO has a smoke-free environment and does not recruit smokers or users of any form of tobacco.

·IARC/WHO also offers wide range of benefits to staff, including parental leave and attractive flexible work arrangements to help promote a healthy work-life balance and to allow all staff members to fully express and develop their talents.

·The statutory retirement age for staff appointments is 65. For external applicants, only those who are expected to complete the term of appointment will normally be considered.

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.
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