Remote Senior Bioinformatician - Computational Biology

Placements24; Gauteng; Hybrid; ZAR 1,976,000 - 3,129,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary

Professional development opportunities

Cutting-edge computational resources

Job summary

Placements24 is seeking a Senior Bioinformatician to join our fully remote team. The role focuses on designing and implementing advanced analytical pipelines for genomics, transcriptomics, and proteomics, translating biological questions into computational strategies.

You will analyze NGS data, develop Python/R tools, and collaborate with researchers while mentoring junior colleagues in a remote-first, autonomous work environment.

Qualifications

• PhD or MS in a quantitative field with bioinformatics focus.
• At least 6 years of progressive bioinformatics experience with omics data.
• Strong Python/R programming and Linux command-line skills.

Responsibilities

• Design and maintain scalable omics data pipelines.
• Analyze genomic, transcriptomic, and proteomic data.
• Collaborate with biologists and researchers on analyses.
• Develop Python/R scripts for data processing.
• Implement advanced algorithms and statistical models.
• Contribute to manuscript preparation.
• Stay updated with bioinformatics advances.
• Communicate results to technical and non-technical stakeholders.
• Mentor junior bioinformaticians.

Skills

Python

R

NGS data analysis

Linux/Unix

Communication

Education

Ph.D. in Bioinformatics or related field

MS in Bioinformatics or related field

Tools

Biopython

SciPy

NumPy

tidyverse

AWS

GCP

Job description

About the Role

Our client is a leading bioinformatics solutions provider dedicated to accelerating biological discovery through advanced computational approaches. We are seeking a highly experienced and self-driven Senior Bioinformatician to join our fully remote team. This position is crucial for developing and implementing sophisticated analytical pipelines for diverse biological datasets, including genomics, transcriptomics, and proteomics. You will be instrumental in translating complex biological questions into computational strategies, driving innovation in drug discovery and personalized medicine. This role is perfect for a seasoned professional who thrives in a remote-first environment, values autonomy, and possesses a deep understanding of biological data analysis and cutting-edge computational techniques. If you are passionate about leveraging big data to unlock biological insights, this is an exceptional opportunity to shape the future of biological research from anywhere.

Key Responsibilities

• Design, develop, and maintain robust and scalable bioinformatics pipelines for large-scale omics data analysis.
• Perform in-depth statistical analysis and interpretation of genomic, transcriptomic, and proteomic data.
• Collaborate with molecular biologists, geneticists, and other researchers to define analytical approaches and address complex biological questions.
• Develop custom scripts and tools (e.g., in Python, R) to facilitate data processing and analysis.
• Implement and validate advanced algorithms and statistical models for biological data interpretation.
• Contribute to the scientific interpretation of results and the preparation of manuscripts for publication.
• Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
• Effectively communicate complex analytical findings to both technical and non-technical stakeholders.
• Mentor junior bioinformaticians and provide technical guidance.

Requirements

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of progressive experience in bioinformatics or computational biology, with a strong focus on omics data analysis.
• Demonstrated expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
• Strong programming skills in Python and/or R, including experience with relevant bioinformatics libraries (e.g., Biopython, SciPy, NumPy, tidyverse).
• Proficiency with command-line tools and environments (Linux/Unix).
• Experience with cloud computing platforms (e.g., AWS, GCP) is a significant advantage.
• Solid understanding of statistical methods and machine learning techniques applicable to biological data.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to manage multiple projects simultaneously in a remote setting.
• Exceptional communication and collaboration skills, essential for a distributed team.

Benefits

• As a fully remote position, this role offers unparalleled flexibility and work-life balance.
• Our client provides a competitive salary, performance-based bonuses, and comprehensive health, dental, and vision insurance.
• We invest in our employees' growth through continuous professional development opportunities, including conference attendance and online training.
• You will have the opportunity to work on challenging and impactful projects that contribute to significant scientific advancements.
• Enjoy a supportive and collaborative team culture, despite the distributed nature of the workforce.
• Access to cutting-edge computational resources and a culture that encourages innovation and knowledge sharing are standard.
• We are committed to fostering a dynamic and rewarding remote work experience for all our employees.