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Scientist Bioinformatics (NL)

SkylineDx

SkylineDx

This job is no longer accepting applications

See open jobs at SkylineDx.
Posted on Saturday, February 18, 2023

 

Your job in a nutshell

As a Scientist Bioinformatics, you will be responsible for designing and executing all the data analysis, computational and modeling steps required to discover new molecular signatures and translate them into clinically relevant and commercially viable molecular assays, for diagnosis, prognosis and drug effectiveness prediction. The assay development trajectory encompasses early discovery research, feasibility studies, and, in support of product development, analytical and clinical validation, preparation of assay registration files, scientific publications, and presentations. Furthermore, you will contribute to identifying new business opportunities, and you will develop new algorithms and methodologies, whenever off-the-shelf solutions are not available to address the problem at hand.

You will be working with internationally renowned academic partners and SkylineDx’ multidisciplinary development team. This is a full-time position based at our SkylineDx office in Rotterdam, and you can work according to a flexible scheme combining working at the office and from home.

You will perform your work from our office in Rotterdam (hybrid work model) and report to the Director of Bioinformatics.

Together, we ensure the translation of clinically relevant scientific discoveries into reliable medical diagnostic assays for diagnosis, prognosis and drug effectiveness prediction that will ultimately contribute to improved patient care. 

 

Essential Duties and Responsibilities

  • Defines and executes, as a process owner, the analyses that may be required (if applicable) for regulatory approval of products.

  • Writes papers and give poster/oral presentations at conferences to disseminate results.

 

You have

  • a PhD degree in Bioinformatics or related quantitative disciplines (candidates with a MSc and equivalent work experience will be also considered).

  • ability to understand and design (new) statistical machine learning algorithms.

  • coding skills in R, Python, bash.

  • a track record of high-quality research, including peer-reviewed publications.

  • an excellent command in written and spoken English.

  • experience with oncology and genomics data (preferred).

  • experience with survival analyses (preferred).

  • experience with NGS data analysis (preferred).

  • experience in high throughput assay design and analysis (preferred).

  • strong analytical mindset and creative approach to problem solving.

  • a service and result-oriented attitude.

  • a hands-on mentality and result oriented attitude.

  • an entrepreneurial mind-set and can work in an environment with high quality standards.

  • the ability to motivate the team and manage both internal and external collaborations.

  • affinity with our corporate quotes (must).

 

At SkylineDx

we live to make a difference. It is our mission to improve a patient’s quality of life by enabling them to benefit from personal insights at the genomic level of their disease. That means we are continuously innovating the world of gene signature-based diagnostic testing. That also means we have a unique blend of characteristics. We have our soft side. Our culture is oftentimes described as familial, warm, loyal and highly engaged. We have our rational side where exact sciences are driving our mission. And when needed our passionate side surfaces to clear the way so we can serve society with science based solutions.

 

Our quotes

#serviceisjoy

#valueformoney

#playtogethertowin

#amazingthingshappen

#cogitoergosum

#itsyourparty

 

Do apply!

Send your resume and motivation letter to Soraya Mestar (HR Manager) at HR@skylinedx.com. If you have questions or want more information, don’t hesitate to contact us. You’ll find the contact details on our website. We will make sure it lands on the right desk!

This job is no longer accepting applications

See open jobs at SkylineDx.