Within Piano Nazionale Complementare al PNRR (PNC) initiative FBK is looking for a technologist in the field of Digital Pathology

Funding reference PNC... - D3-4- Health - Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care.
AFFILIATO 4 SPOKE 2 CUP: B53C...
Avviso MUR nr. 931 di data 6/6/2022 PNC: Piano nazionale per gli investimenti complementari al PNRR - Avviso per la concessione di finanziamenti destinati ad iniziative di ricerca per tecnologie e percorsi innovativi in ambito sanitario e assistenziale.
Iniziativa a valere sull’ Intervento, a titolarità del Ministero dell’ Università e della ricerca, di cui all’art. 1, comma 2, lett. i) del decreto-legge 6 maggio 2021, n. 59, convertito, con modificazioni, dalla legge 1° luglio 2021, n. 101, di approvazione del Piano nazionale per gli investimenti complementari al Piano nazionale di ripresa e resilienza” Responsabile del Procedimento: Alessandro Dalla Torre Within Piano Nazionale Complementare al PNRR (PNC) initiative FBK is looking for a technologist in the field of Digital Pathology FBK is a research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research.
Each research area is assigned to a specific research Center, of which there are twelve totals.
Information regarding the research Centers, their activities and production are available at . The Digital Health & Wellbeing Center is one of the Centers of the Bruno Kessler Foundation (FBK).
The activities of the Center for Digital Health & Wellbeing mainly concern scientific research of excellence in the field of Computer Science and AI techniques and methodologies for health and healthcare, as well as social and technological innovation for a relevant impact on both the local community and nationally and internationally.
Workplace Description The activities will be carried out at the laboratories of the Data Science for Health (DSH) Research Unit of FBK.
For project-related needs concerning the PNC D3-4- Health project, the employee may be required to partially perform their work duties at the U.
O.
Pathological Anatomy and Histology, S.
Chiara Hospital in Trento.
The Data Science for Health (DSH) Research Unit -within the Digital Health & Wellbeing Center of FBK- focuses on the design, the development, and the implementation of predictive models for the life sciences.
In particular, statistical machine learning and deep learning algorithms are applied to integrated health data such as Electronic Health Records (EHR), different levels of -omics data and bioimages of diverse nature, from CT, PET, MRI scan to Digital Pathology WS Is.
We aim to create novel mathematical methods and ICT platforms connecting physiopathological patterns of disease with high dimensional data now available for Functional Genomics (e. g DNA microarrays, SN Ps, proteomics, Deep Sequencing), with clinical and imaging data and geodatabases of environmental factors and socio-demographic data.
Background information and description of the research project This position is offered within Piano Nazionale Complementare al PNRR (PNC) initiative, within FBK has proposed the project " Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care" (D3-4-HEALTH).
The mission of the project is to deliver highly technological solutions that will impact the management of 5 reference diseases.
D3-4-HEALTH will fundamentally transform and advance current methodologies for the diagnosis, monitoring and therapy of the reference diseases facilitating the deployment of precision medicine approaches through the development of the digital and biological twins, for the benefit of patients.
D3-4-HEALTH will escalate and deploy innovative and non-invasive technologies and solutions, based on the analysis of digital and digitalized healthcare data.
Job Description FBK is looking for a candidate to cover the position of Technologist with a dynamic, highly motivated, technologist in the field of digital pathology, image management and interpretation algorithms and the analysis and interpretation of the expression of biomarkers on human tissues for the DSH Unit of the Digital Health and Wellbeing Center.
Within the Project, the expected activities will be: - the management of the cases to be examined, ensuring the correct acquisition of clinical documentation, of histological preparations and the verification of the acquisition of informed consent from patients; - to carry out biomarker expression investigations on human tissues using immunohistochemistry/immunofluorescence and in situ nucleic acid hybridization techniques; - to ensure the scanning of histological preparations and the correct archiving of slides and files of the related scans; - to collect and tabulate the data of the original diagnosis and that provided by the artificial intelligence algorithms; - to collaborate with pathologists in the analysis of histological cases and in the management of cases to be subjected to external control; - to collaborate with researchers dedicated to developing artificial intelligence algorithms; - to carry out preliminary analysis of the collected data; - to collaborate in the drafting of work reports, project progress and scientific works.
The candidate will not be exposed to specific risks, connected to the activities, for which health surveillance is required.
Job requirements The Ideal Candidate should have: Bachelor Degree in Biotechnology, Biological Sciences or related fields; Master Degree in Biology, Medicine and Surgery, Medical Biotechnology or related fields; at least 3 years post-master experience in relevant fields; basic knowledge of the processes of sampling and processing of human tissues for diagnostic purposes in digital pathology; knowledge of histological stains and immunohistochemical investigations, both from a technical and interpretative point of view; general knowledge of digital pathology: scanning histological specimens, image management, use of image archiving systems, use of artificial intelligence programs; computer and digital skills (ability to operate a personal computer with common applications and essential knowledge of information technology at the general user level); competence in the field of bibliographic investigations using the main search engines (e. g.
Pubmed); Excellent knowledge of the Italian language; Language assessment according to the Common European Framework of Reference for Languages (CEFR): level of knowledge required.
Knowledge of English will be verified during the interview on a technical or scientific topic and must be equal to or exceed level B2.
Definitions of levels can be found at the following link ; Experience in working for research projects; Teamwork approach, good communication and relational skills; Time management, planning, and development skills; Accuracy, flexibility, proactivity, and goal orientation. Employment Type of contract: fixed-term contract Working hours: full-time (38 h per week) Start date: January 2025 End date: until 30th November 2026.
The duration of the contract is limited to the completion of activities pertinent to the specific research project and in any case to the research project itself. Contract type: CCPL Research Foundation Personnel ( Personale/ Contrattazione-collettiva/ Rinnovo-CCPL-delle- Fondazioni) for a third level Technologist, the current gross annual remuneration is Euro 44. 087,26. Workplace: FBK, located in Povo ( Trento).
For organizational and/or project-related needs concerning the PNC D3-4- Healt project, the employee may be required to partially perform their work duties at the APSS headquarters located in Trento. Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, supplementary pension ( Resaver, Laborfonds) and health fund ( Sanifonds), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees, counseling and psychological support service.
More info at Application Interested candidates are requested to submit their application by completing the online form ().
Please make sure that your application contains the following attachments (in pdf format): detailed CV; cover letter indicating why the candidate is suitable for this position. Application deadline: 22nd December 2024 Selection process and assessment criteria The Evaluating Committee will be appointed by the HR Director at the end of the application deadline. The recruiting process will be handled in accordance with the “ Gender and generational equal opportunities, as well as the employment inclusion of people with disabilities in public contracts financed with the resources of the PNRR and PNC” guidelines and with the Foundation's Gender Equality Plan.
The Committee may compile the short-list of the candidates admitted to the interview, remotely or in presence.
The short-list shall be compiled based on the requirements set out in the call (contained in the requirements of the job description), with the support of the screening of C Vs and any other required documents. Candidates with a minimum score will be admitted to the interview phase.
Shortlisted candidates must do at least one interview with the Committee. In case of specific need, the Selection Committee can also meet remotely, by teleconference or videoconference, provided that all members can be identified and that they are able to follow and intervene in the discussion, as well as to receive, transmit and view documents.
During the evaluation step, evaluation support tools such as tests or questionnaires may be used.
Furthermore, group tests and/or practical tests may be administered.
Evaluation criteria The recruitment process will be based on the total points obtained by the evaluation of the qualifications/ expertise and the evaluation of the interview. A maximum of 40 points will be allocated for qualifications and expertise that the candidate expresses on the resume, while the interview will be worth up to 60 points.
The interview scores will be assigned to candidates by the Commission according to the following criteria: the presentation of their personal profile; the knowledge about the scientific domain, the experience in working for research projects and the language skills.
Only candidates obtaining at least 25 points in the evaluation of the qualifications and the expertise will be admitted for the interview.
The interview is considered as “passed” if the applicant obtains at least 45 points.
The final score will be used to generate the final suitability list for each job position .
Results of the selection process All candidates will be notified via email once the selection process has been completed.
The suitability list may be used to fill the position in case the successful candidate doesn’t accept the job offer. At the website in the " Selection results" section, will be published the details of the selection process and the final results. Diversity & Inclusion policy FBK actively seeks diversity and promotes inclusion in the workplace.
The main aims of the FBK Diversity & Inclusion policy are to: promote gender equality across the research domains and on all levels by encouraging qualified female candidates to apply for job positions and by implementing specific improvements and measures as stated in the Gender Equality Plan (GEP) foster young talents development by offering opportunities to grow become a disability-inclusive organization by encouraging applications from candidates with a disability ( Law 68/99).
We provide special assistance to applicants during the recruitment procedure and reasonable arrangements for disabled staff promote a healthy work-life balance by offering a package of flexible working arrangements and facilities (telework, individual working time, parental leave, etc). The FBK operates in compliance with current legislation concerning fixed-term contracts.
Candidates with disabilities are invited to state whether they belong to the categories referred to in Law 68/99, and to indicate this in the curriculum vita sent in application for recruitment.
Processing of personal data Pursuant to art. 13 of EU Regulation No. 2016/679 (GDPR), we inform you that your personal data shall be processed for the management of the selection process and of the obligations connected to it, through manual, electronic and informatic means and will be guaranteed within privacy and security standards as indicated in the full privacy policy.
In order to ensure and respect the principles of publicity, transparency and impartiality, the name of the successful candidate and the names of suitable candidates will be published on the FBK website following acceptance of the position.
For further information, please contact the Human Resources Services at jobs@fbk. eu.