Vacancies

Vacancies for statisticians and related professions are published here (in the language of the original advertisement). Please do not hesitate to contact us if you find broken links or if you would like to place an ad yourself (details below).

TEMPORARY RECRUITMENT OF OUTSTANDING RESEARCH STAFF - CALL 2021

University of Santiago de Compostela

  • Call for 5 postdoctoral positions (distinguished researchers) linked to the reference research groups (GRC) of the University of Santiago de Compostela.   
  • One of the positions is in the area of Biomedical Sciences, which includes the research line: Data Science in Biomedicine, linked to the Research Group (IP: Carmen Cadarso Suárez :  
      
  • Participant requirements:    
    • PhD degree obtained before January 1, 2019.  
    • Minimum of 2 years of postdoctoral experience in R&D centers (different from the one in which the doctorate was obtained).
        
  • Annual gross salary:  29,039.38€ (made up of base salary and category supplement plus social costs).
  • Duration of the contract: a maximun of 4 years. 
  • Deadline for submission: 31st May, 2021
  • Evaluation Process:   
    • Phase 1- Merits: Scientific publications, participation in R&D programs, projects or contracts and other merits.    
    • Phase 2: The candidate must present a research project in the area of Data Science in Biomedicine (a 5,000-word report maximum including a description of the scientific project to be developed).   
  • Applications can be made here
  • Call description can be downloaded here

 

Biostatistician / Data Scientist

The Challenge
Are you excited about scientific innovation and would like to provide statistical advice and insights to our nutrition research, development and marketing community? Then our position as Biostatistician / Data Scientist in the DSM nutrition department might be the right next step for you! We are looking for a bright, motivated colleague to further strengthen our statistics and data analysis team.

The position
You will support our multidisciplinary nutrition project teams with your statistical expertise and insights in order to optimize decision-making and influence strategy in all development phases of our nutritional products, from early research through development and marketing:

The ideal
- MSc in statistics, biostatistics, data science or a related field.
- PhD and/or several years of work experience welcome.
- Experience in applying statistics or data science in a life science environment is an asset.
- Sound knowledge of standard statistical methods, particularly regression and extensions (GLMM) is required. Knowledge of machine learning methods is an advantage.

For detailed information and how to apply click here.

The application deadline is the 7th of June 2021.

Disease Modeler / Senior Disease Modeler

The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, is seeking two highly motivated individuals (a disease modeler and a senior disease modeler) with strong analytical skills. The modelers will work within the Analytics and Intervention Modelling group to help design evidence-based strategic plans by providing analytical evidence and support execution of high-impact programs to ensure countries reduce their malaria burden.

In this new position the modelers will lead the technical work for the methodological development and/or application of the modelling activities aimed at providing support to NMCPs in endemic countries as well as to their partners including donors and NGOs.

For more information about the responsibilities and skills and qualifications please click here

The position will be open for a limited amount of time and will be closed as soon as the right candidate is found. Therefore, we encourage applicants to submit their application as soon as possible.

 

Leading Scientist in Data Science & Health "ERA Chair"

Job position 

Project: ERA Chair - iSTARS - Informatics and Statistical Tools for the Advancement of Research Success

ERA Chair, Full time

Category: Professor - Established /Leading researcher (R3/R4) (Associado or Catedrático Convidado in the Portuguese system)

Reference: iSTARS/ERA-CHAIR/FMUL

Scientific Area 

Data Science, Medical Statistics, Health Informatics, Artificial Intelligence in Medicine, Biostatistics

Details 

The Faculty of Medicine of University of Lisbon is seeking a highly motivated established/leading researcher (R3-R4 level https://www.google.com/url?q=https://bit.ly/3lnRuu5&source=gmail&ust=1616261477685000&usg=AFQjCNGFWw539Bo52j7xqrtdTOQsMlVntw">https://bit.ly/3lnRuu5) with excellent scientific credentials in the general scientific area of the project, who is willing to help build a robust and leading group in data science for health research. The successful candidate is expected to shape this new research direction in interaction with other researchers of the School of Medicine, participate in defining new teaching needs in the areas of the project, and lead an interdisciplinary team in research and acquisition of new funding.

This vacancy is for a “fixed term public service contract” expected to be at least 5 years. It is envisaged that at the end of the project, a successful scientist may have the potential for a permanent position at the Faculty of Medicine.

For details of the position and how to apply, please click here

Student Internship in biostatistics (hematology cell therapy)

Functional area : Biostatistics
Therapeutic Area : Hematology, Cell Therapy, ICF(Immunology/Cardiovacular/Fibrosis), Medical and Market Access
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS

Description of the project and work required (including references)

Pediatric studies and small sample size

In recent times, the needs for new drugs to be tested within the pediatric setting has increased to now being an integral requirement of the regulatory process, with legislation surrounding pediatric drug testing undergoing many changes in recent time; more recently the FDA Reauthorization Act (FDARA 504), enacted August 2018 and took effect August 2020. The new ICH E11 (R1) outlines the need for developing “additional statistical and pharmacokinetic methods” that integrate and leverage existing knowledge, as well as extrapolation of information from other populations (adults or pediatric subgroups).

Location: Boudry, Switzerland / Uxbridge, UK.
Internship period: According to the School/University rules.

Full-time internships are available and will last 4 to 6 months according to the university/school requirements and the study project.

For more information and how to apply click here

Student Internship in biostatistics (glioblastoma imaging data)

Functional area : Biostatistics
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS

Internship proposal on Glioblastoma imaging data

Bristol Myers Squibb has conducted two large phase 3 studies on Phase 3 on glioblastoma, a disease with unfavorable prognosis especially in patients with unmethylated MGMT promoter (Chang et al. , 2006).

This internship will provide the candidate the opportunity to:

  • work on real life data collected from two large phase 3 glioblastoma trials
  • gain further experience in applying machine learning methodologies to image recognition for the
  • tumor characterization on glioblastoma tumors
  • explore methodologies leveraging information from the clinical database in addition to the imaging
  • data
  • collaborate in an international multicultural environment of a pharmaceutical company
  • potential publication

For more detailed information and how to apply click here

Student Internship in biostatistics

Functional area : Biostatistics
Therapeutic Area : Cell Therapy
Prerequisites : A Ph.D. candidate or MSc candidate in Statistics. Experience in R (preferred) and/or SAS

Project description and work required (including references)

Late stage CAR T-cell trials often allow subject to switch treatment, usually from the control group to experimental group, when specific conditions are met. This is implemented in the trial design to safeguard the ethical principles of providing the best care for patients. However, the presence of treatment switching creates technical difficulties in estimate the true effectiveness of the experimental drug when long-term time-to-event endpoints are used – in fact, standard methods (i.e. ITT or the per-protocol approaches) would likely underestimate the experimental treatment effectiveness (i.e. loss in power). For this reason, more complex methodologies have been proposed to adjust for treatment switching1. These are the marginal structural models (MDS) using inverse probability of censoring weights (IPCW), the two- stage adjustment and the Rank preserving structural failure time models (RPSFTM) using g-estimation.

Full-time internships are available and will last 4 to 6 months according to the university/school requirements and the study project. Part-time internship is possible when the student should continue to attend some courses during the internship period.

For more information and how to apply click here

Senior / Postdoctoral Scientist in infectious disease dynamics modelling for vector control interventions against malaria (80-100 %)

The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, develops and applies epidemiological, statistical and mathematical methods to advance innovation, validation, and application in the field of public health. Within the Disease Modelling Unit of EPH we are looking for a

Senior Scientist or Postdoctoral Scientist in infectious disease dynamics modelling for vector control interventions against malaria (80-100%)

For details about the position, the required qualifications and how to apply click here

Start Date: As soon as possilbe, but negotiable

 

International Job Opportunities

Calls for Papers

Calls for Papers/Contributions from scientific conferences and journals are published here as well as scientific competitions and awards.

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