Publié avant-hier
Biology & Bioinformatics Research Specialist (MSc/PhD)
@ Gramian Consulting Group
Télétravail au Canada
En bref
Gramian Consulting Group is hiring a contract Biology and Bioinformatics Research Specialist for a remote AI training and benchmarking project in biology. The work involves reviewing sequencing, omics and molecular data workflows and AI-generated biological analyses for accuracy and reproducibility. A Master's or PhD is preferred, C1 English is required, and the role is open across several countries in the Americas, Asia-Pacific and the UK.
Responsabilités :
- Évaluer les workflows de biologie et bioinformatique
- Analyser les données NGS, ARN et monocellulaires
- Documenter les méthodes et les bonnes pratiques
- Communiquer des concepts scientifiques complexes
Résumé des exigences :
- Maîtrise ou doctorat en biologie ou bioinformatique
- Expertise dans une spécialisation biologique
- Expérience pratique avec des données biologiques réelles
- Maîtrise de Python et/ou R
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-11-09
- Première détection par notre source
- 2026-11-09
- Mise à jour du dossier source
- 2026-11-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Recherche et sciences |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Biology, Bioinformatics, Computational Biology, Genomics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Gramian Consulting Group
Profil d’entreprise sauvegardé
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We get talents. You get results.
Description complète de l’entreprise
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). We combine the perspective of a software engineer, the rigor of a technical recruiter, and the vision of a business builder, so you get experts who understand your challenges and deliver results the right way. This blend is our signature advantage in providing top-quality services, fast and reliably.
- Abonnés LinkedIn
- 27 283
- Personnes associées sur LinkedIn
- 7
- Bureaux déclarés
- Kumanovo, MK
- Autres noms enregistrés
- Gramian Consulting Group
- Gramian Consulting
- Spécialités
- Talent Solutions
- Technical Recruiting
- Staff Augmentation
- AI & Data Solutions
- and BOT
- Le profil indique une agence de recrutement
- Non
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). We combine the perspective of a software engineer, the rigor of a technical recruiter, and the vision of a business builder, so you get experts who understand your challenges and deliver results the right…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 2-10 employees |
| Siège social | Kumanovo |
| Type d’organisation | Partnership |
| Fondée en | 2025 |
| Spécialités | Talent SolutionsTechnical RecruitingStaff AugmentationAI & Data Solutionsand BOT |
| Offres sur Jobsy | 49 |
| Voir la page |
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning.
We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply.
Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome.
CONTRACT: Contractor
LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC.
EDUCATION: Master's or PhD preferred; equivalent relevant experience considered.
ENGLISH: C1 minimum.
PROJECT: AI training and benchmarking in biology and bioinformatics.
AI EXPERIENCE: Not required.
Key Responsibilities
Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives.
Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
Analyze biological datasets, including:
Next-Generation Sequencing (NGS) data.
RNA sequencing and single-cell datasets.
Genomic variants and variant calling results.
Protein structures and proteomics data.
Molecular and cellular biology datasets.
Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility.
Identify analytical errors, methodological limitations, and opportunities for improving computational workflows.
Contribute domain expertise to the development and validation of biology-related AI models and tools.
Document findings, methodologies, and best practices to support knowledge transfer.
Communicate complex scientific concepts clearly to technical and non-technical collaborators.
Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline.
Equivalent professional industry or research experience may also be considered.
Deep expertise in at least one relevant biological or computational specialization.
Hands-on experience analyzing real biological datasets.
PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged.
Proficiency in Python and/or R.
Experience with relevant scientific tools, depending on specialization.
Professional written and spoken English proficiency at C1 level or higher.
Strong statistical, quantitative, and analytical reasoning skills.
Journal
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