Scientist (Genetics)

About the job:

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

Who can apply:

Only those candidates can apply who:

• have minimum 2 years of experience

Salary:

Competitive salary

Experience

2 year(s)

Deadline:

2035-01-01 00:00:00