Remote Senior Bioinformatician

Placements24; Durban; Hybrid; ZAR 1,000,000 - 1,300,000; Full time

Benefits offered by this job

Home office setup allowance

Connectivity stipend

Health insurance and wellness programs

Remote-first culture

Job summary

Placements24 seeks a Senior Bioinformatician to join its remote R&D team based anywhere in South Africa. You will design and implement robust pipelines for WGS, WES and RNA-Seq, apply ML to complex biological data, and collaborate with a distributed team to interpret results and develop new tools.

You will have a strong background in statistics and be comfortable working in a remote setting, with excellent communication to teammates and stakeholders across multiple time zones.

Qualifications

• Master's or PhD in Bioinformatics or related field required.
• Minimum 5 years of professional bioinformatics experience with large datasets.
• Proficiency in Python, R, Perl and libraries Biopython/SciPy/NumPy.
• Experience with cloud platforms (AWS/GCP/Azure) and containers (Docker/Singularity).
• Strong statistics background and machine learning application in biology.

Responsibilities

• Develop and maintain pipelines for NGS data (WGS, WES, RNA-Seq).
• Apply statistics and ML to extract biological insights from datasets.
• Collaborate remotely with scientists to design experiments and interpret results.
• Contribute to novel computational tools and document methods clearly.
• Participate in code reviews and promote data management best practices.

Skills

Python

R

Perl

Biopython

SciPy

NumPy

ML

Communication

Cloud computing

Docker

Singularity

Education

Master's or Ph.D. in Bioinformatics or related field

Tools

Biopython

SciPy

NumPy

Docker

Singularity

Python

R

AWS

GCP

Azure

Job description

About the Role

Our client is seeking a talented Senior Bioinformatician to join their fully remote R&D team, based anywhere in South Africa . This role is crucial for leveraging advanced computational approaches to analyze large biological datasets, enabling groundbreaking research in areas such as genomics and drug discovery. You will work closely with a distributed team of scientists, contributing to the design of analytical strategies, the development of novel algorithms, and the interpretation of complex molecular data. This is an exciting opportunity for a self-driven bioinformatician looking to make a significant impact from a remote setting.

Key Responsibilities

• Develop, implement, and maintain robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including WGS, WES, and RNA-Seq.
• Apply statistical and machine learning techniques to analyze complex biological datasets, identify patterns, and extract meaningful biological insights.
• Collaborate remotely with experimental biologists and computational scientists to design experiments and interpret results.
• Contribute to the development of novel computational tools and algorithms for biological data analysis.
• Document methodologies, analytical processes, and results clearly and comprehensively for internal and external use.
• Participate in code reviews and contribute to best practices in software development and data management within the team.

Requirements

• Master's or Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
• Minimum of 5 years of professional experience in bioinformatics, with a strong focus on analyzing large-scale biological datasets.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant libraries (e.g., Biopython, SciPy, NumPy).
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity) is highly desirable.
• Strong understanding of statistical principles and experience applying machine learning algorithms to biological data.
• Excellent communication and collaboration skills, with the ability to thrive in a remote work environment.

Benefits

• Competitive salary, benchmarked against national standards for remote roles.
• Flexible working hours, allowing for optimal remote productivity.
• Generous home office setup allowance and connectivity stipend.
• Comprehensive health insurance and wellness programs.
• Opportunities for continuous learning and professional growth in a remote-first culture.