Bioinformatician

Center for Surgical Science, Department of Surgery, Zealand University Hospital

At the Center for Surgical Science (CSS) we are looking for a determined, proactive bioinformatician to join our Big Data & Personalized Medicine department and drive the daily bioinformatic operations. If you have experience in bioinformatics, if you are looking to become part of a multidisciplinary team aiming to improve healthcare for the surgical patient, if you are interested having a role in shaping the future of personalized treatments and most importantly if you are intrigued by guiding clinicians and researchers harvesting evidence out of their data, CSS may have an ideal job offer for you.

Your role as bioinformatician will be to guarantee the smooth running of daily operations, provide guidance and support to our clinicians, nurses and researchers with their data analyses and participate in the future developments via the design and the implementation of our bioinformatics infrastructure. Job duties include teaching/training about the use of bioinformatics methods and tools, mentoring MSc/PhD students, authoring grant applications, reviewing scientific manuscripts, participate in study/protocol designs and providing innovative solutions for health data exploration, visualization and analysis.

Your Profile

Expected qualifications:

• Hold a relevant MSc or PhD degree.
  
  
• Understand the basic concepts of medicine and biology. Experience in Personalized Medicine will be highly appreciated.
  
  
• Experienced in R or Python.
  
  
• Understanding health data exploration, visualization and analysis.
  
  
• Have good communication skills and be good at explaining bioinformatics concepts to healthcare actors.
  
  
• Work methodologically and produce detailed documentation of your work.
  
  

Desired qualifications:

• Understanding the opensource concept and being familiar with projects like OHDSI or tranSMART.
  
  
• Familiar with common data models like OMOP or i2b2.
  
  
• Familiar with health classifications like SKS, SNOMED, SNOMED-CT, ICD-10, ICD-0-3, LOINC, ATC or RxNorm.
  
  
• Familiar with OMICs data production, quality control and analysis.
  
  
• Familiar with studies/clinical trials.
  
  
• Familiar with scientific manuscript authoring.
  
  
• Familiar with SAS, SPSS or Stata.
  
  
• Familiar with SQL and relational databases.
  
  
• Script development skills.
  
  

The Center for Surgical Science

CSS currently consists of 35 employees. We are based in the Department of Surgery at Zealand University Hospital and our aim is to improve the treatment of patients with surgical diseases, minimize morbidity and optimize clinical outcomes. Through a cross-disciplinary research approach, we utilize the full spectrum of the available health information to tailor multi-modal interventions and characterize key issues for patients undergoing surgery in order to individualize pre-, intra- and postoperative treatment. As a word class institution, we participate in key global research initiatives and have been recognized as a Danish and EU leading establishment on our respective fields.

The recently founded Big Data & Personalized Medicine department is providing the necessary infrastructure and support to the core clinical departments of CSS, in a common effort to achieve the centers’ targets. Our methods include the use of international health data standards and key opensource technologies to establish a common data platform compatible with the leading Personalized Medicine initiatives in Denmark, Europe and the rest of the world. Standardization, Quality Control and Quality Assurance are the key aspects of our operations.

Our Job Offer

This is a standard 37h/week contract. The work language is English. Workdays are Monday to Friday, but you are also expected to have the flexibility to work on Weekends during special, urgent, situations.

Do you see yourself as part of CSS?

Then please send your application and CV as soon as possible. The deadline for the application is 29th of February 2020. The interview will be held shortly thereafter. If you have any questions do not hesitate to contact our head of Big Data & Personalized Medicine Ioannis Drakos at +45 93 57 75 43 or [email protected].