Biological scientist using data science in biology, with lab experience; seeking roles in biotech, bioinformatics & drug development
Aktualisiert am 18.03.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 23.03.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Good Manufacturing Practice
Python
Biotechnologie
Translational Research
Experimental Design
Assay Development & Validation
ELISA
Western Blot
Immunofluorescence
Confocal Microscopy
MATLAB
R programming
Machine Learning
Statistical modelling
Biotechnik/Medizintechnik
Good Laboratory Practice
Good Clinical Laboratory Practice
Datenmanagement
3D culture
English
C2
German
B2

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

6 months
2025-09 - 2026-02

Post Doc -Guest Research - Translational Medicine and Machine Learning

Guest Post Doctoral Researcher
Guest Post Doctoral Researcher
  • Conducted interdisciplinary research investigating tumor?vascular interactions and microenvironment dynamics using advanced tissue engineering models.
  • Worked with organ-on-chip platforms to model tumor?endothelium interactions and study cellular behaviour in physiologically relevant systems.
  • Performed quantitative analysis of high-dimensional microscopy datasets to characterize cellular organization and interactions within engineered tissue models.
  • Developed computational workflows to support analysis of spatial cellular patterns and biological responses.
  • Collaborated closely with biologists, engineers, and computational researchers in interdisciplinary projects.
TU Darmstadt- Department of Synthetic Biology, Darmstadt (Germany)
5 years
2020-01 - 2024-12

Research Associate- Translational Research and ML

Research Associate
Research Associate
  • Investigated cellular uptake mechanisms of clinically relevant compounds in colorectal cancer models.
  • Worked extensively with 3D tumor spheroids and organoid-based cancer models to study drug uptake and tumor cell behaviour.
  • Performed histopathology and confocal and fluorescence imaging and statistical analysis using design of experiments in Minitab.
  • Combined experimental cancer biology approaches with computational analysis of imaging and biological datasets using Python and MATLAB.
  • Conducted systematic literature analyses and evidence synthesis related to tumor biology and therapeutic mechanisms.
  • Authored peer-reviewed publications and presented research findings at international conferences
University College Dublin ? School of Medicine, Dublin (Ireland)
4 months
2019-09 - 2019-12

Research Intern- Deciphex Pvt Ltd

Research Intern
Research Intern
  •  Developed AI-assisted digital pathology pipelines supporting quantitative classification and predictive modeling of histopathology datasets. Analyzed large clinical imaging datasets to identify biomarker-related patterns and quantitative image features.
  • Contributed to the development of data-driven analytical tools in a clinical diagnostics environment.
  • Collaborated with pathologists and engineers in a multidisciplinary product development team.
Deciphex PVT LTD., Dublin (Ireland)

Aus- und Weiterbildung

Aus- und Weiterbildung

5 years
2020-01 - 2024-12

Promotion - Translational Medicine and Computational Biology

Doctor of Philosophy, University College Dublin (Ireland)
Doctor of Philosophy
University College Dublin (Ireland)
Dissertation: on request
1 year 1 month
2018-09 - 2019-09

Biological and Biomolecular Sciences

Master of Science, University College Dublin (Ireland)
Master of Science
University College Dublin (Ireland)
Specialization: Cell Biology and Genetics
3 years 1 month
2015-07 - 2018-07

Life Sciences

Bachelors of Science, University of Delhi (India)
Bachelors of Science
University of Delhi (India)

Kompetenzen

Kompetenzen

Top-Skills

Good Manufacturing Practice Python Biotechnologie Translational Research Experimental Design Assay Development & Validation ELISA Western Blot Immunofluorescence Confocal Microscopy MATLAB R programming Machine Learning Statistical modelling Biotechnik/Medizintechnik Good Laboratory Practice Good Clinical Laboratory Practice Datenmanagement 3D culture

Produkte / Standards / Erfahrungen / Methoden

Profile
PhD-trained scientist with expertise in translational cancer research, tumor biology, and computational analysis of biomedical data. Over five years of research experience investigating cancer cell biology using advanced experimental models including 3D tumor spheroids, organoids, and organ-on-chip systems combined with quantitative data analysis. Experienced in studying tumor microenvironment interactions through imaging, transcriptomics data analysis and interdisciplinary collaboration with clinicians, engineers, and computational scientists. Strong interest in applying integrative experimental and bioinformatics approaches to understand mechanisms of cancer progression and therapeutic response.

Key Skills
  • Cancer Biology & Experimental Models
    • Tumor cell biology and tumor microenvironment studies
    • 3D tumor spheroids and organoid models
    • Histopathology, Molecular Biology techniques (cell culture, ELISA, Western Blot, Immunofluorescence)
    • Organ-on-chip systems for studying cellular interactions
    • Imaging-based characterization of tumor cell behaviour
  • Bioinformatics & Data Analysis
    • Differential expression analysis and statistical analysis of biological datasets using design of experiments and regression
    • Integration and interpretation of multi-modal biological data using Minitab
  • Programming & Computational Tools
    • Python (pandas, numpy, scikit-learn), MATLAB ( for image processing and segmentation), R (basic)
  • Scientific Communication
    • Preparation of scientific manuscripts and reports
    • International conference presentations
    • Interdisciplinary collaboration in translational research teams

Branchen

Branchen

Clinical Work

Artificial Intelligence and Machine learning in Clinical work

Pharma industry

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

6 months
2025-09 - 2026-02

Post Doc -Guest Research - Translational Medicine and Machine Learning

Guest Post Doctoral Researcher
Guest Post Doctoral Researcher
  • Conducted interdisciplinary research investigating tumor?vascular interactions and microenvironment dynamics using advanced tissue engineering models.
  • Worked with organ-on-chip platforms to model tumor?endothelium interactions and study cellular behaviour in physiologically relevant systems.
  • Performed quantitative analysis of high-dimensional microscopy datasets to characterize cellular organization and interactions within engineered tissue models.
  • Developed computational workflows to support analysis of spatial cellular patterns and biological responses.
  • Collaborated closely with biologists, engineers, and computational researchers in interdisciplinary projects.
TU Darmstadt- Department of Synthetic Biology, Darmstadt (Germany)
5 years
2020-01 - 2024-12

Research Associate- Translational Research and ML

Research Associate
Research Associate
  • Investigated cellular uptake mechanisms of clinically relevant compounds in colorectal cancer models.
  • Worked extensively with 3D tumor spheroids and organoid-based cancer models to study drug uptake and tumor cell behaviour.
  • Performed histopathology and confocal and fluorescence imaging and statistical analysis using design of experiments in Minitab.
  • Combined experimental cancer biology approaches with computational analysis of imaging and biological datasets using Python and MATLAB.
  • Conducted systematic literature analyses and evidence synthesis related to tumor biology and therapeutic mechanisms.
  • Authored peer-reviewed publications and presented research findings at international conferences
University College Dublin ? School of Medicine, Dublin (Ireland)
4 months
2019-09 - 2019-12

Research Intern- Deciphex Pvt Ltd

Research Intern
Research Intern
  •  Developed AI-assisted digital pathology pipelines supporting quantitative classification and predictive modeling of histopathology datasets. Analyzed large clinical imaging datasets to identify biomarker-related patterns and quantitative image features.
  • Contributed to the development of data-driven analytical tools in a clinical diagnostics environment.
  • Collaborated with pathologists and engineers in a multidisciplinary product development team.
Deciphex PVT LTD., Dublin (Ireland)

Aus- und Weiterbildung

Aus- und Weiterbildung

5 years
2020-01 - 2024-12

Promotion - Translational Medicine and Computational Biology

Doctor of Philosophy, University College Dublin (Ireland)
Doctor of Philosophy
University College Dublin (Ireland)
Dissertation: on request
1 year 1 month
2018-09 - 2019-09

Biological and Biomolecular Sciences

Master of Science, University College Dublin (Ireland)
Master of Science
University College Dublin (Ireland)
Specialization: Cell Biology and Genetics
3 years 1 month
2015-07 - 2018-07

Life Sciences

Bachelors of Science, University of Delhi (India)
Bachelors of Science
University of Delhi (India)

Kompetenzen

Kompetenzen

Top-Skills

Good Manufacturing Practice Python Biotechnologie Translational Research Experimental Design Assay Development & Validation ELISA Western Blot Immunofluorescence Confocal Microscopy MATLAB R programming Machine Learning Statistical modelling Biotechnik/Medizintechnik Good Laboratory Practice Good Clinical Laboratory Practice Datenmanagement 3D culture

Produkte / Standards / Erfahrungen / Methoden

Profile
PhD-trained scientist with expertise in translational cancer research, tumor biology, and computational analysis of biomedical data. Over five years of research experience investigating cancer cell biology using advanced experimental models including 3D tumor spheroids, organoids, and organ-on-chip systems combined with quantitative data analysis. Experienced in studying tumor microenvironment interactions through imaging, transcriptomics data analysis and interdisciplinary collaboration with clinicians, engineers, and computational scientists. Strong interest in applying integrative experimental and bioinformatics approaches to understand mechanisms of cancer progression and therapeutic response.

Key Skills
  • Cancer Biology & Experimental Models
    • Tumor cell biology and tumor microenvironment studies
    • 3D tumor spheroids and organoid models
    • Histopathology, Molecular Biology techniques (cell culture, ELISA, Western Blot, Immunofluorescence)
    • Organ-on-chip systems for studying cellular interactions
    • Imaging-based characterization of tumor cell behaviour
  • Bioinformatics & Data Analysis
    • Differential expression analysis and statistical analysis of biological datasets using design of experiments and regression
    • Integration and interpretation of multi-modal biological data using Minitab
  • Programming & Computational Tools
    • Python (pandas, numpy, scikit-learn), MATLAB ( for image processing and segmentation), R (basic)
  • Scientific Communication
    • Preparation of scientific manuscripts and reports
    • International conference presentations
    • Interdisciplinary collaboration in translational research teams

Branchen

Branchen

Clinical Work

Artificial Intelligence and Machine learning in Clinical work

Pharma industry

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