Nooshin Omranian - Senior Computational Biologist

Q: Where is Nooshin based?

Nooshin is based in Berlin, Germany .

Q: What languages does Nooshin speak?

Nooshin speaks the following languages: German (Native), English (Advanced) .

Q: How many years of experience does Nooshin have?

Nooshin has at least 13 years of experience. During this time, Nooshin has worked in at least 5 different roles and for 6 different companies . The average length of individual experience is 2 years and 2 months . Note that Nooshin may not have shared all experience and actually has more experience.

Q: What is Nooshin's latest experience?

Nooshin's most recent position is Senior Computational Biologist at Max-Planck-Institute for Molecular Genetics .

Q: What companies has Nooshin worked for in recent years?

In recent years, Nooshin has worked for Max-Planck-Institute for Molecular Genetics , Charité - Universitätsmedizin Berlin , Eagle Genomics , and Max-Planck Institute of Molecular Plant Physiology .

Q: Which industries is Nooshin most experienced in?

Nooshin is most experienced in industries like Biotechnology , Healthcare , and Education .

Q: Which business areas is Nooshin most experienced in?

Nooshin is most experienced in business areas like Research and Development (R&D) , Product Development , and Information Technology (IT) .

Q: Which industries has Nooshin worked in recently?

Nooshin has recently worked in industries like Biotechnology and Healthcare .

Q: Which business areas has Nooshin worked in recently?

Nooshin has recently worked in business areas like Research and Development (R&D) , Product Development , and Information Technology (IT) .

Recommended expert

Berlin, Germany

Experience

Nov 2024 - Present

1 year 3 months

Berlin, Germany

Senior Computational Biologist

Max-Planck-Institute for Molecular Genetics

Conducting research at the interface of proteomics and artificial intelligence, focusing on the application of machine learning models (e.g., neural networks, clustering algorithms, and feature extraction) to analyze complex biological datasets.
Developing and teaching AI-based analytical workflows for molecular and proteomic data, integrating tools such as Python (scikit-learn, TensorFlow, Pandas) for predictive modeling and data visualization.
Collaborating with interdisciplinary teams to explore data-driven hypotheses in molecular genetics and enhance biological interpretation through AI-assisted pattern recognition.
Implementing automated data processing pipelines to improve reproducibility and FAIR data management in high-throughput experiments.

Feb 2024 - Present

2 years

Berlin, Germany

Senior Computational Biologist

Charité - Universitätsmedizin Berlin

Applied metric learning approaches to identify protein signatures distinguishing presymptomatic sepsis from general inflammation.
Developed proteomic signatures to predict therapeutic response and resistance in oncology patients.
Conducted survivability analyses integrating clinical and proteomic datasets.
Performed large-scale mass spectrometry data analysis, supporting biomarker discovery.
Investigated molecular mechanisms underlying antifungal drug resistance through computational modeling and proteomics.

Feb 2022 - Feb 2024

2 years 1 month

Berlin, Germany

Senior Computational Biologist/Machine Learning Scientist

Eagle Genomics

Designed and implemented scalable bioinformatics pipelines (Nextflow, Python, R) for microbiome and multi-omics analysis in production environments.
Led integration of microbial interaction networks and host–microbiome analyses.
Served as subject matter expert (SME) in cross-functional product development teams.
Contributed to two product launches, ensuring reproducibility and compliance with CI/CD practices.

Oct 2014 - Apr 2022

7 years 7 months

Potsdam, Germany

Computational Biology Scientist

Max-Planck Institute of Molecular Plant Physiology

Mentored students in various research capacities.
Used machine learning approaches to predict the interactome of different species and applied different approaches for model selection.
Inferred gene regulatory networks, both context-agnostic and context-specific.
Analyzed omics datasets, including transcript expression from microarray and RNA-Seq technologies, protein abundances, and metabolite levels, and performed their integration.
Worked with Git, GitHub, and Weka for machine learning analyses.
Applied advanced analysis methods including network analysis, time series data analysis, segmentation of time series datasets, identification of mechanisms of action, phylogenetic analysis, and quantification of heritability from population genetics studies.
Assisted Ph.D. students in writing papers, theses, and structuring presentations.

Sep 2013 - Jun 2014

10 months

Berlin, Germany

Data Engineer

LifeGlimmer GmbH

Performed extensive text mining and created a database of all gene regulatory interaction networks related to NF-κB available in publications.
Trained a colleague to perform classical and advanced network analysis on transcription data.
Used R for all programming and data analysis steps.

Jun 2009 - Sep 2010

1 year 4 months

Potsdam, Germany

Researcher

Institute of Biochemistry and Biology, University of Potsdam

Started programming with R.
Used Python, Perl, and SQL along with text mining functions to create and annotate all available gene expression datasets in GEO to identify genes involved in signal crosstalk.
Conducted classical computational analyses of these datasets, including differential behavior, clustering, and enrichment analysis.

Summary

Computational Biologist (Ph.D.) with interdisciplinary experience at Charité, Eagle Genomics, and the Max Planck Institute for Molecular Genetics. Expertise in multi-omics data integration, proteomics, and AI-driven modeling for translational and predictive applications.

At Charité, led projects applying machine learning and mass spectrometry to identify proteomic signatures for early sepsis detection, predict therapy response and resistance in oncology, and characterize antifungal drug resistance.

At Eagle Genomics, developed scalable and reproducible bioinformatics pipelines (Nextflow, Python, R) for microbiome and multi-omics data analysis in production environments.

Currently at the Max Planck Institute, advancing the use of artificial intelligence and deep learning in proteomics, teaching AI methodologies, and developing data-driven models to explore biological mechanisms.

Skilled in predictive modeling, data fusion, statistical analysis, and interdisciplinary collaboration.

Passionate about leveraging AI and computational modeling to transform complex biological systems into actionable insights for healthcare, biotechnology, and digital-twin research.

Skills

Programming
Communication Skills
Ability To Work Under Pressure
Adaptability
Fast Learner
Ability To Work In A Team
Adavance Analytical Thinking Skill
Effective Time Managment
Team Leadership
Critical Thinking And Problem Solving
Ability To Multitask
Python
R
Data Management
Deep Learning
Ai
Machine Learning
Natural Language Processing
Innovation
Statistical Analysis
Time-series Data Analysis
Linux

Languages

German

Native

English

Advanced

Education

Oct 2010 - Sep 2014

Max-Planck Institute Of Molecular Plant Physiology - Institute Of Biochemistry And Biology, Department Of Molecular Biology,

PhD · Systems Biology · Potsdam, Germany

Oct 2005 - Sep 2008

Shiraz University

MSc · Software Engineering · Shiraz, Iran, Islamic Republic of

Nov 2001 - Sep 2005

Shiraz University

BSc · Software Engineering · Shiraz, Iran, Islamic Republic of

Profile

Created

December 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Nooshin based?

Nooshin is based in Berlin, Germany.

What languages does Nooshin speak?

Nooshin speaks the following languages: German (Native), English (Advanced).

How many years of experience does Nooshin have?

Nooshin has at least 13 years of experience. During this time, Nooshin has worked in at least 5 different roles and for 6 different companies. The average length of individual experience is 2 years and 2 months. Note that Nooshin may not have shared all experience and actually has more experience.

What roles would Nooshin be best suited for?

Based on recent experience, Nooshin would be well-suited for roles such as: Senior Computational Biologist, Senior Computational Biologist/Machine Learning Scientist, Computational Biology Scientist.

What is Nooshin's latest experience?

Nooshin's most recent position is Senior Computational Biologist at Max-Planck-Institute for Molecular Genetics.

What companies has Nooshin worked for in recent years?

In recent years, Nooshin has worked for Max-Planck-Institute for Molecular Genetics, Charité - Universitätsmedizin Berlin, Eagle Genomics, and Max-Planck Institute of Molecular Plant Physiology.

Which industries is Nooshin most experienced in?

Nooshin is most experienced in industries like Biotechnology, Healthcare, and Education.

Which business areas is Nooshin most experienced in?

Nooshin is most experienced in business areas like Research and Development (R&D), Product Development, and Information Technology (IT).

Which industries has Nooshin worked in recently?

Nooshin has recently worked in industries like Biotechnology and Healthcare.

Which business areas has Nooshin worked in recently?

Nooshin has recently worked in business areas like Research and Development (R&D), Product Development, and Information Technology (IT).

What is Nooshin's education?

Nooshin holds a Doctorate in Systems Biology from Max-Planck Institute Of Molecular Plant Physiology - Institute Of Biochemistry And Biology, Department Of Molecular Biology,, a Master in Software Engineering from Shiraz University and a Bachelor in Software Engineering from Shiraz University.

What is the availability of Nooshin?

Nooshin will be available full-time from February 2026.

What is the rate of Nooshin?

Nooshin's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.