Bioinformatics data analyst

IFOM - Institute for Molecular Oncology; Milano; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

IFOM is seeking a bioinformatician with expertise in RNA-Seq analysis to join their multidisciplinary team. The role involves analyzing complex datasets and collaborating with wet-lab researchers to unlock insights into colorectal cancer. The successful candidate will contribute to pioneering research and have access to cutting-edge technologies in a dynamic environment.

Servizi

Access to cutting-edge technologies

Contribute to impactful publications

Grow in a supportive research institute

Competenze

• Passionate about combining computational analysis with biological questions.
• Experience in large-scale multi-omics data analysis.
• Strong experience in RNA-Seq alignment, quantification, and detection.

Mansioni

• Analyze RNA sequencing datasets from colorectal cancer cell lines.
• Identify alternative splicing events and relevant isoforms.
• Integrate transcriptomic data with protein structure prediction tools.

Conoscenze

Proficiency in R

Proficiency in Python

RNA-Seq analysis

Analytical thinking

Problem-solving

Formazione

Master’s degree in Bioinformatics

PhD in Computational Biology

Strumenti

DEXSeq

StringTie

Cufflinks

AlphaFold

Descrizione del lavoro

Are you interested in the Dark Proteome and Alternative Splicing ?

This role offers a unique opportunity to work in a highly collaborative, multidisciplinary environment, bridging RNA biology, structural protein modeling, and cancer research through advanced computational tools and multiomics analysis. The successful candidate will play a central role in decoding how alternative splicing impacts protein structure and function in colorectal cancer, with the goal of identifying novel disease drivers and therapeutic targets.

Your Role

You will work closely with wet-lab researchers on projects connecting gene expression variation to functional protein alterations. Your responsibilities will include :

• Analyzing bulk and single-cell RNA sequencing datasets from colorectal cancer cell lines and patient-derived organoids;
• Identifying alternative splicing events and functionally relevant isoforms using tools such as DEXSeq, StringTie, and Cufflinks;
• Developing, optimizing, and maintaining computational workflows to manage large-scale transcriptomic data;
• Integrating transcriptomic data with protein structure prediction tools (e.g., AlphaFold3) to investigate splicing-driven conformational changes;
• Assisting in RNA structural analysis using chemical probing data;

Who You Are

You are passionate about combining computational analysis with biologically meaningful questions and enjoy navigating between data, tools, and hypotheses. You bring :

• A Master’s degree (or PhD) in Bioinformatics, Computational Biology, or a related field;
• Proficiency in R and Python;
• Strong experience in RNA-Seq analysis, including alignment, quantification, and splicing event detection;
• Experience in large-scale multi-omics data analysis (e.g., ATAC-seq, RIP / ChIP-seq);
• Familiarity with protein structure modeling tools such as AlphaFold, and databases like GTEx, MANE;
• Strong analytical thinking and problem-solving capabilities;
• Excellent communication and collaboration skills, with a team-oriented mindset;

Why Join Us

At IFOM, you'll be part of a dynamic and diverse scientific community, working closely with leaders in cancer research, as well as in molecular, cellular, and computational biology.

You will :

• Access cutting-edge technologies;
• Contribute to impactful, peer-reviewed publications;
• Grow in a supportive, internationally recognized research institute;
• Provide your CV, highlighting relevant experience and skills;
• Include a short cover letter explaining your interest and suitability for the role;

Last update : 18 / 04 / 25

Disclaimer and Privacy

ENG - (Article 13 of the EU Regulation 2016 / 679)

We inform you that the archiving and processing of data referring to you are carried out by IFOM - Istituto Fondazione di Oncologia Molecolare ETS in order to perform the recruitment process. Pursuant to Article 6(1)(b) the legal basis for the processing is the necessity to take steps at the request of the data subject prior to entering into a contract. Your data shall be communicated to third parties that could be located in countries outside the European Union for the recruitment process. IFOM has obtained the necessary guarantees to transfer the Data in compliance with the provisions of Chapter V of the GDPR. The resumes received will be deleted at the end of the calendar year following the one of receipt; if you are still interested in proposing your application you will have to re-send. According to Article 15 et seq of the EU Regulation 2016 / 679 to exercise your rights you can write to the Data Controller : IFOM - Istituto Fondazione di Oncologia Molecolare ETS, via Adamello 16, Milano, privacy-desk(@)ifom.eu. Finally, we inform you that IFOM has appointed a Data Protection Officer (DPO) who can be contacted at dpo(@)ifom.eu.

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