Scientist (Genetics)

Meditab is hiring for one of its sister companies, ImmunoConcepts.

Position Summary:

• As a pivotal role within our team, the Genetics Bioinformatics Analyst will play a crucial part in
• advancing our understanding of genetic data and its implications in various scientific and medical
• research fields. This position demands a unique fusion of expertise in genetics, computational
• biology, and data analysis to interpret complex biological datasets and provide actionable insights.
• Our ideal candidate is passionate about genomics, exhibits strong analytical skills, and is proficient
• in using bioinformatics tools and programming languages. In this role, you will collaborate with
• interdisciplinary teams of geneticists, researchers, and clinicians, contributing to groundbreaking
• studies and innovative projects that have the potential to transform modern medicine and personalized
• healthcare.

Key Responsibilities:

• Analyze large genomics datasets using bioinformatics tools
• Develop and implement analytical pipelines and workflows
• Collaborate with geneticists and other scientists to interpret data
• Contribute to the design and planning of genomic research studies
• Maintain and manage genomic databases
• Prepare reports and visualizations of genetic data
• Stay updated with the latest developments in genomics and bioinformatics
• Provide support in the preparation of scientific publications and clinical reports
• Ensure data quality and integrity in all analyses
• Develop custom scripts and software for specific research needs
• Train and support other researchers in using bioinformatics tools
• Participate in multidisciplinary project meetings
• Conduct literature reviews related to genomic research

Qualifications and/or experience required:

• Masters with experience or PhD in Bioinformatics, Genetics, Computational Biology, or

a related field

• Experience with high-throughput sequencing data analysis
• Proficiency in programming languages such as Python, R, and Perl
• Experience with bioinformatics software and tools like BLAST, BWA, GATK
• Strong understanding of statistical methods for biological data analysis
• Experience in a collaborative research environment
• Familiarity with machine learning techniques applied to genomics
• Excellent written and verbal communication skills
• Experience with cloud computing platforms like AWS or Google Cloud
• Knowledge of genome annotation and variant interpretation

Attributes:

• Strong analytical and problem-solving skills
• High level of independence and accountability in executing scientific work
• Detail-oriented with strong documentation practices
• Ability to manage multiple projects and timelines
• Effective communication and scientific writing skills
• Collaborative mindset with the ability to contribute to team goals
• Proactive, motivated, and results-driven
• Flexibility and willingness to learn new techniques and technologies