Remote Postdoctoral Research Fellow (Genomics)

Placements24; George; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Remote work

Professional development

Flexible schedule

Global collaboration

Job summary

Placements24 is seeking a Postdoctoral Research Fellow in Genomics for a remote, globally distributed team. You will analyze large genomic datasets, develop computational methods, and contribute to high-impact publications.

The role emphasizes independent work, collaboration with computational biologists, statisticians, and experimental researchers worldwide, and opportunities to advance novel analyses and grant writing.

Qualifications

• Ph.D. in Genomics, Bioinformatics, or related quantitative field.
• Experience analyzing large-scale genomic datasets with standard bioinformatics tools (e.g., GATK, Samtools, BCFtools).
• Proficiency in Python or R for data analysis.
• Strong understanding of statistical principles in biological data analysis.
• Experience with HPC and cloud computing is advantageous.
• Excellent problem-solving and independent work capabilities in a remote setting.
• Proven publication record in reputable journals.
• Familiarity with genetic association studies (GWAS) is advantageous.

Responsibilities

• Analyze large-scale genomic datasets (WGS, exome, RNA-Seq) using advanced bioinformatics pipelines.
• Develop and implement computational strategies for variant calling, annotation, and interpretation.
• Identify genomic regions associated with phenotypes or diseases through statistical analysis.
• Collaborate with computational biologists, statisticians, and experimental researchers worldwide.
• Publish findings in peer-reviewed journals and present at virtual conferences.
• Contribute to grant writing and supervise junior researchers remotely.
• Maintain reproducible analyses and code with thorough documentation.

Skills

Python

R

Statistical analysis

Remote collaboration

Education

Ph.D. in Genomics, Bioinformatics, or related field

Tools

GATK

Samtools

BCFtools

Cloud platforms

Job description

About the Role

This is a unique opportunity to join a forward-thinking research initiative within the Scientific Research & Development sector, operating entirely remotely. Our client is seeking a highly motivated and intellectually curious Postdoctoral Research Fellow specializing in Genomics. This role is designed for an individual passionate about leveraging advanced computational and analytical techniques to explore complex genomic datasets. You will be working from the comfort of your own location, collaborating with a globally distributed team of leading scientists. The position focuses on investigating genomic variations and their association with specific biological phenomena or disease states. Success in this role will involve contributing significantly to ongoing research projects, publishing findings in high-impact journals, and potentially developing novel analytical methodologies. We are committed to fostering a remote-first culture, providing all necessary support for you to excel in your research from wherever you are. This is an exciting chance to push the boundaries of genomic science on a global scale, contributing to impactful discoveries without geographical limitations.

Key Responsibilities

• Analyze large-scale genomic datasets (e.g., whole-genome sequencing, exome sequencing, RNA-Seq) using advanced bioinformatics tools and pipelines.
• Develop and implement novel computational strategies for variant calling, annotation, and interpretation.
• Identify and characterize genomic regions associated with specific phenotypes or diseases through rigorous statistical analysis.
• Collaborate closely with computational biologists, statisticians, and experimental researchers located worldwide.
• Stay current with the latest advancements in genomics, bioinformatics, and computational biology.
• Prepare manuscripts for publication in peer-reviewed scientific journals and present research findings at virtual conferences.
• Contribute to grant writing efforts and assist in the supervision of junior research staff or interns remotely.
• Maintain accurate and detailed records of all analyses and code used, ensuring reproducibility.
• Participate in regular virtual team meetings and contribute to project planning and strategic discussions.
• Ensure data security and integrity throughout all research activities.

Requirements

• Ph.D. in Genomics, Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Demonstrated experience in analyzing large-scale genomic datasets and utilizing standard bioinformatics tools (e.g., GATK, Samtools, BCFtools).
• Proficiency in programming languages commonly used in bioinformatics, such as Python or R.
• Strong understanding of statistical principles and their application in biological data analysis.
• Experience with high-performance computing environments and cloud computing platforms is a plus.
• Excellent problem-solving skills and the ability to work independently on complex analytical challenges.
• Exceptional communication and interpersonal skills for effective remote collaboration.
• Proven track record of scientific publications in reputable journals.
• Familiarity with genetic association studies (GWAS) is advantageous.
• Ability to manage multiple projects and meet deadlines in a remote setting.

Benefits

• This fully remote position offers the flexibility to work from any location.
• Our client provides a competitive salary commensurate with experience, along with the opportunity to engage in cutting‑edge genomic research.
• Professional development opportunities, including online courses and virtual conference attendance, are supported.
• While there are no physical office benefits, the company ensures a supportive virtual work environment and provides resources for home office setup.
• This role is ideal for an ambitious researcher looking to make a significant impact in the field of genomics from a remote setting, with opportunities to publish and collaborate internationally.