Senior Bioinformatics Scientist, Genomics Data Analysis

Placements24; Benoni; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Remote work flexibility

Professional development support

Performance bonuses

Résumé du poste

Placements24 seeks a Senior Bioinformatics Scientist for a fully remote role analyzing large genomic datasets to drive advances in personalized medicine. You will develop pipelines for WGS/WES/RNA-seq, perform statistics, and collaborate with scientists to translate results into actionable insights.

The role emphasizes leadership in pipeline development, cloud/HPC usage, and communication across a distributed team, with opportunities to mentor juniors and contribute to publications.

Qualifications

• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• 5+ years of hands-on bioinformatics experience with genomic data analysis (NGS).
• Proficiency in Python, R, and/or Perl with relevant libraries.
• Extensive experience with CLI and HPC environments.
• Strong understanding of statistical methods and machine learning for biological data.
• Familiarity with BAM, VCF, FASTQ and public databases (NCBI, Ensembl).
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.
• Excellent problem solving and communication in a distributed team.

Responsabilités

• Design, develop, and implement robust bioinformatics pipelines for NGS data (WGS, WES, RNA-seq).
• Perform statistical analyses and visualize genomic data to identify variations and expression patterns.
• Collaborate with biologists, geneticists, and clinicians to define research questions.
• Develop machine learning models for predictive insights on large datasets.
• Mentor junior bioinformaticians and contribute to team direction.
• Ensure data integrity and security in a remote setting.

Connaissances

Python

R

Perl

Statistical methods

Machine learning

Formation

Ph.D. in Bioinformatics/Computational Biology/CS/Statistics

Outils

AWS

GCP

Azure

HPC

Description du poste

About the Role

Our client, a pioneering force in genomic research, is actively recruiting a highly skilled Senior Bioinformatics Scientist for a fully remote, remote-first position. This role is critical for analyzing vast and complex genomic datasets to uncover novel biological insights and drive advancements in personalized medicine. You will be responsible for developing and implementing sophisticated bioinformatics pipelines, performing statistical analyses, and interpreting results to support ongoing research projects. As a remote-first organization, we pride ourselves on fostering a highly collaborative and connected virtual environment, utilizing cutting-edge communication tools to ensure seamless teamwork. This is an exceptional opportunity for an experienced bioinformatician to contribute to impactful research from the comfort of their home office, working with a world-class team dedicated to transforming healthcare. We empower our remote employees with the resources and support necessary to excel, fostering a culture of innovation and scientific rigor. Join us in shaping the future of genomics.

Key Responsibilities

• Design, develop, and implement robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq data.
• Perform statistical analysis, interpretation, and visualization of genomic data to identify genetic variations, gene expression patterns, and functional associations.
• Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and provide computational support.
• Develop and apply machine learning algorithms for predictive modeling and pattern discovery in large-scale genomic datasets.
• Manage and curate large genomic databases, ensuring data integrity and accessibility.
• Stay current with the latest advancements in bioinformatics, genomics, and computational biology tools and methodologies.
• Contribute to the preparation of manuscripts for publication in peer-reviewed journals and presentations at scientific conferences.
• Mentor junior bioinformaticians and contribute to the scientific direction of the team.
• Effectively communicate complex analytical findings to both technical and non-technical stakeholders in a clear and concise manner.
• Ensure the security and confidentiality of sensitive genomic data in a remote working environment.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in bioinformatics, with a strong focus on genomic data analysis (NGS).
• Proficiency in programming languages such as Python, R, and/or Perl, with experience in relevant bioinformatics libraries and packages.
• Extensive experience with command-line interfaces and high-performance computing (HPC) environments.
• Strong understanding of statistical methods, machine learning techniques, and their application to biological data.
• Familiarity with genomic data formats (e.g., BAM, VCF, FASTQ) and public databases (e.g., NCBI, Ensembl).
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Excellent problem-solving skills and a proactive approach to tackling complex computational challenges.
• Strong written and verbal communication skills, with the ability to work effectively in a distributed team.
• Demonstrated ability to work independently and manage multiple projects simultaneously in a remote setting.

Benefits

• Our client offers a competitive salary and benefits package, including comprehensive health coverage, a generous retirement savings plan, and flexible paid time off.
• As a fully remote position, you will enjoy significant autonomy and the convenience of working from home, potentially including home office stipends.
• We provide extensive opportunities for professional development, including access to online courses, workshops, and support for conference attendance.
• Our client fosters an inclusive and collaborative culture, valuing innovation and work-life balance.
• Performance bonuses are awarded based on individual and team contributions.