16.09.2026 aktualisiert
100 % verfügbar
Interdisciplinary Researcher | Biotechnology & Bioinformatics | AI/ML & Data Science
Batticaloa, Sri Lanka
Nur Remote
PGDP in Bioinformatics, Genomics, and Data Science (Bversity, 2026)Skills
Computational Biology & Omics
RNA expression profiling, in silico study design, disease-gene association analysis, biological pathway interpretation, and literature-based molecular signature analysis form the core of the computational biology expertise.
Data Science & AI
Data-driven project development, biomedical prediction models (facial emotion recognition, diabetes, cholesterol), climate change prediction, image-based classification projects, open-science datasets, and challenge-based data science workflows are key areas of application.
Astrobiology & Space Biology
Astromicrobiology, lunar regolith concepts, biosignatures, exoplanet science, space biology model systems, and citizen-science astronomy and planetary science projects represent a strong interdisciplinary research focus.
Bioinformatics & Genomics
Comparative transcriptomic and gene-expression analysis, microarray data analysis, subgroup identification, and comparative genomics for space-induced microbial mutation assessment are applied in research contexts.
Biomedical Engineering
Training of machine learning models for medical applications including facial emotion recognition, diabetes prediction, and cholesterol prediction, as well as frontend and backend development with Firebase.
Science Communication & Scientific Writing
Scientific writing, creative writing, translation, public outreach, content writing, and interdisciplinary collaboration support the dissemination of research findings to broad audiences.
Leadership & Community Building
NASA Space Apps local leadership, event coordination, student organization leadership, international collaboration, and citizen-science ambassadorship demonstrate strong community engagement.
Research Methodology & Grant Writing
Leading scientific research proposals, applying for grants and funds, and designing research methodologies to provide valuable insights are central responsibilities in the current research role.
RNA expression profiling, in silico study design, disease-gene association analysis, biological pathway interpretation, and literature-based molecular signature analysis form the core of the computational biology expertise.
Data Science & AI
Data-driven project development, biomedical prediction models (facial emotion recognition, diabetes, cholesterol), climate change prediction, image-based classification projects, open-science datasets, and challenge-based data science workflows are key areas of application.
Astrobiology & Space Biology
Astromicrobiology, lunar regolith concepts, biosignatures, exoplanet science, space biology model systems, and citizen-science astronomy and planetary science projects represent a strong interdisciplinary research focus.
Bioinformatics & Genomics
Comparative transcriptomic and gene-expression analysis, microarray data analysis, subgroup identification, and comparative genomics for space-induced microbial mutation assessment are applied in research contexts.
Biomedical Engineering
Training of machine learning models for medical applications including facial emotion recognition, diabetes prediction, and cholesterol prediction, as well as frontend and backend development with Firebase.
Science Communication & Scientific Writing
Scientific writing, creative writing, translation, public outreach, content writing, and interdisciplinary collaboration support the dissemination of research findings to broad audiences.
Leadership & Community Building
NASA Space Apps local leadership, event coordination, student organization leadership, international collaboration, and citizen-science ambassadorship demonstrate strong community engagement.
Research Methodology & Grant Writing
Leading scientific research proposals, applying for grants and funds, and designing research methodologies to provide valuable insights are central responsibilities in the current research role.
Sprachen
EnglishMuttersprache
Projekthistorie
Teaching assistant for How to Grow (Almost) Anything (HTGAA) and How to Biomanufacture (Almost) Anything (HTBAA). Helping learners understand concepts, finish assignments, and design research methodologies.
Leading scientific research proposals, applying for grants and funds, designing research methodologies, and contributing to an in silico study on integrative RNA expression profiling to identify shared molecular signatures between Periodontitis and Alzheimer's Disease.
Contributing to astrobiology-oriented projects involving lunar regolith, astromicrobes, biosignatures, biofuel, and microbial adaptation in space-relevant environments. Investigating biological and environmental questions relevant to planetary science and life-detection frameworks. Participating in open-science and citizen-science projects related to exoplanets, space biology, asteroid detection, and astronomical data analysis.