Research assistant position

EURAXESS Ireland; Województwo wielkopolskie; Hybrid; PLN 51,000 - 61,000; Full time

Benefits offered by this job

36 working days vacation per year

Excellent career development and an国际/

Job summary

Institute of Plant Genetics, Polish Academy of Sciences (IPG PAS) in Poznań, Poland, invites applications for a research assistant in Bioinformatics. A four-year, full-time contract with a competitive gross salary begins soon.

The role emphasizes multiomics data analysis, machine learning, and collaboration on proteomics/metabolomics data. Requires bioinformatics degree, ML experience, English communication, and independent work capability.

Qualifications

• Academic degree in bioinformatics.
• Theoretical knowledge and practical experience in machine learning, plant data integration, statistical methods based on distances.
• Demonstrated experience with scripting languages (Python, R). Knowledge of machine learning frameworks (PyTorch, keras) is an advantage.
• Research experience, including participation in scientific projects and a documented scientific track record (e.g., peer-reviewed publications).
• Good organizational and time management skills, attention to detail, reliability, strong motivation, and ability to work independently and collaboratively.
• Good communication skills in English.
• Knowledge of deep learning on biological data, mass spectrometry, metabolomics, proteomics, chemometrics, or mass spectrometry imaging is an advantage.

Responsibilities

• Development and optimization of bioinformatics/statistical methods and computational pipelines for multiomics data analysis.
• Processing, quality control, and analysis of high-throughput sequencing and mass spectrometry data, including microbiome and metabolome profiling.
• Development, implementation, and validation of machine learning and deep learning methods for biological data analysis, including multiomic data from plants and their pathogens.
• Integration and interpretation of multiomic data (in particular: metabolomic, microbiomic and genomic data), including functional and structural annotation.
• Visualization of results and dissemination of research findings through scientific publications, conference presentations, and posters.

Skills

Machine learning

Plant data integration

Statistical methods

Time management

Independent work

Team collaboration

English communication

Education

Academic degree in bioinformatics

Tools

Python

R

PyTorch

Keras

Job description

Organisation/Company Institute of Plant Genetics PAS Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 30 Nov 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 6 Nov 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Director of the Institute of Plant Genetics, Polish Academy of Sciences (IPG PAS) in Poznan announces open competition for research assistantposition (Position ref. number 7/2026)

Job details:

Number of positions: 1

Work location: Institute of Plant Genetics, Polish Academy of Sciences, Poznań, Poland

Position type: research assistant

Research areas: Bioinformatics

Type of contract: full-time, temporary for 4 years

Salary range: minimum 5000 PLN (gross)

Place of work: IPG PAS, Poznań, Poland

Deadline for applications: 30.11.2026

Project: related to the project FENG.02.04-IP.04-0025/24,\"Integrative multi-omics platform based on high-resolution mass spectrometry for metabolome and microbiome research using machine learning\"

Required Qualifications

• Academic degree in bioinformatics.
• Theoretical knowledge and practical experience in machine learning, plant data integration, statistical methods based on distances.
• Demonstrated experience with scripting languages (Python, R). Knowledge of machine learning frameworks (PyTorch, keras) is an advantage.
• Research experience, including participation in scientific projects and a documented scientific track record (e.g., peer-reviewed publications).
• Good organizational and time management skills, attention to detail, reliability, strong motivation, and ability to work independently and collaboratively.
• Good communication skills in English.
• Knowledge of deep learning on biological data, mass spectrometry, metabolomics, proteomics, chemometrics, or mass spectrometry imaging is an advantage.

Main Responsibilities

• Development and optimization of bioinformatics/statistical methods and computational pipelines for multiomics data analysis.
• Processing, quality control, and analysis of high-throughput sequencing and mass spectrometry data, including microbiome and metabolome profiling.
• Development, implementation, and validation of machine learning and deep learning methods for biological data analysis, including multiomic data from plants and their pathogens.
• Integration and interpretation of multiomic data (in particular: metabolomic, microbiomic and genomic data), including functional and structural annotation.
• Visualization of results and dissemination of research findings through scientific publications, conference presentations, and posters.

What we offer

• A full-time employment contract for the entire duration
• 36 working days of vacation per year.
• Excellent career development opportunities and a stimulating international working environment.

Required documents

• Complete publication list highlighting articles relevant to the advertised position.
• Reprint of an article that the candidate considers to be the most important publication
• Letter of motivation describing the candidate's research activities.
• Contact information of 2 referees who may be contacted for an opinion about the candidate.
• Scan or photocopy of degree or diploma.
• Experience certificates (if applicable).
• Consent to the processing of the applicants personal data for the purposes of the selection process.

Selection Process

The documents submitted by applicants will be reviewed by the Selection Committee to determine the applicant's suitability for the position. Potential candidates will be invited for an interview via video conference or by visiting IPGPAS).

Criteria for evaluating candidates to be hired as postdoctoral fellows:

• Match of the