Job Information
- Organisation/Company: Mikrogen
- Research Field: Computer science » Programming
- Researcher Profile: Established Researcher (R3)
- Positions: Other Positions
- Application Deadline: 10 Nov 2026 - 02:06 (Europe/Istanbul)
- Country: Türkiye
- Type of Contract: Permanent
- Job Status: Full-time
- Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
- Is the Job related to staff position within a Research Infrastructure? No
Offer Description
We are seeking a highly motivated and skilled bioinformatician or software developer to join our team in building an AI-powered genomic analysis platform. The ideal candidate will work at the intersection of bioinformatics and artificial intelligence to develop robust, scalable solutions for processing, analyzing, and interpreting large-scale genomic datasets. You will contribute to the design and implementation of pipelines, machine learning models, and user-friendly tools to support clinical and research applications in human genetics.
Key Responsibilities:
- Design and implement algorithms for processing and analyzing next-generation sequencing (NGS) and other genomic data (e.g. SNP, gene panels)
- Develop and apply AI/ML models for tasks such as variant classification, pattern recognition, and prioritization of genetic findings
- Build and maintain automated bioinformatics workflows and pipelines
- Perform annotation, filtering, and interpretation of genomic variants
- Collaborate with researchers, geneticists, and software engineers on the development and validation of genomic analysis tools
- Contribute to the documentation, version control, and compliance of bioinformatics components with regulatory standards (e.g. ISO, CLIA/CAP)
Required Qualifications:
- Degree (MSc or PhD) in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field
- Strong programming skills in Python and/or R, with experience using bioinformatics libraries and ML frameworks (e.g. Biopython, scikit-learn, TensorFlow, pandas, Snakemake)
- Solid understanding of genomic data formats (e.g. VCF, FASTQ, BAM, BED, GTF/GFF)
- Experience in applying machine learning to biological datasets is a strong advantage
- Familiarity with version control systems (e.g. Git) and API development
- Strong analytical skills, attention to detail, and ability to work in a multidisciplinary team
Preferred Qualifications:
- Experience with clinical genetics applications (e.g. carrier screening, PGT, rare disease diagnostics)
- Knowledge of genomic variant interpretation standards and tools (e.g. ClinVar, OMIM, ACMG guidelines)
- Familiarity with secure data handling, HIPAA/GDPR compliance, and cloud-based platforms (AWS, GCP)
- Background in biobank data integration or multi-omics analytics is a plus
Where to apply
E-mail: [contact details available in the full listing]
Requirements
- Research Field: Computer science » Programming; Education Level: Master Degree or equivalent
- Research Field: Biological sciences » Other; Education Level: Master Degree or equivalent
- Languages: ENGLISH; Level: Excellent
Work Location(s)
- Number of offers available: 1
- Company/Institute: Mikrogen Genetic Diagnosis Center
- Country: Türkiye
- State/Province: Ankara
Contact
- City: Ankara
- Website: https://www.mikrogenlab.com
- Street: Reşit Galip Caddesi No:18
- Postal Code: 06680
