Postdoc on Computational and Statistical Analysis of Genomics Data

14 May 2024
Job Information

Organisation/Company

Utrecht University

Research Field

Medical sciences

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

19 May 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Research at the Clinical Infectiology (KLIF) section focuses on zoonotic, parasitic and foodborne pathogens and the emergence of antimicrobial resistance. The generation and analysis of sequencing data is part of our daily work for epidemiology, virulence and antimicrobial resistance determination, to assess the effects of interventions, and for diagnostics. KLIF offers an international and stimulating work environment at the forefront of scientific research. You will actively participate in our scientific meetings and publish the findings in peer reviewed scientific journals.
Your job
As a postdoc, you will be responsible for addressing the data analysis challenges arising from the latest advances in high-throughput sequencing technologies, including the analysis of microbiome and resistome data (amplicon, shotgun sequencing and longitudinal experiments), whole genome or single cell sequencing data. You will work together with project leaders and PhD candidates to answer research questions on transmission of pathogens, the effects of antimicrobial treatments on the microbiome and for assessing the microbiome and resistome for both epidemiological analyses and for diagnostics. You will thrive in a unique multi-disciplinary environment including veterinarians, biologists, and bioinformaticians, with an opportunity to supervise Master's students and contribute to teaching and hands-on multiple day workshops.

Requirements
Specific Requirements

You will be encouraged to communicate complex scientific concepts in clear, accessible language, honing your presentation skills along the way. Additionally, you will have the platform to showcase your exceptional scientific writing abilities, as fluency in English is essential. We expect you to have:

• a PhD degree in Microbiology, Computational Biology, Bioinformatics, Statistical Genomics, Epidemiology or a related discipline;
• affinity with microbiology, genomics and an understanding of microbiome research;
• experience in biostatistical analysis and data interpretation for large data sets;
• experience in R, Python or similar programming languages;
• experience in integrating complex/omics data sets by translating the required handling into custom made programs.

Additional Information
Benefits

We offer an exciting opportunity for individuals passionate about microbiology and eager to contribute to cutting-edge microbiome and microbial genomics research. Join us and be part of our dynamic community while refining your professional skills in a supportive and collaborative setting. Furthermore, we offer:

• an employment contract for a duration of one year with 0.7-1.0 full-time equivalent (FTE) research time, optionally supplemented with 0.1 or 0.2 FTE teaching time (thus totaling 0.7 to 1.0 FTE). In case of a good performance, extending the employment is well within the range of possibilities;
• a working week of 28 to 40 hours with a gross monthly salary ranging from €3,226 to €5,090 for a full-time position (scale 10 of the Collective Labour Agreement for Dutch Universities);
• 8% holiday pay and an end-of-year bonus of 8.3%;
• a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement for Dutch Universities.

In addition to the terms of employment laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development , leave schemes and schemes for sports and cultural activities , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University .

Selection process

As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.
To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button.

Additional comments

For more information, please contact Dr Aldert Zomer at [email protected] or Professor Jaap Wagenaar at [email protected] .
Candidates for this vacancy will be recruited by Utrecht University.

Website for additional job details

https://www.academictransfer.com/341433/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Utrecht

Country

Netherlands

City

Utrecht

Postal Code

3584CL

Street

Yalelaan 1

Geofield

Where to apply

Website

https://www.academictransfer.com/en/341433/postdoc-on-computational-and-statist…

Contact

City

Utrecht

Website

http://www.uu.nl/

Street

Domplein 29

Postal Code

3512 JE

STATUS: EXPIRED