Senior Computational Biologist - Bioinformatics Research

Placements24; Midrand; Hybride; ZAR 1 000 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Generous PTO

Flexible hours

Tech stipend

Health insurance

Retirement plan

Professional development

Résumé du poste

Placements24 is seeking a Senior Computational Biologist to lead analysis of large-scale genomic data, develop novel algorithms, and collaborate with a global network of scientists. This remote-first role is based in Midrand, Gauteng, SA, offering flexible hours and opportunities for impactful scientific work.

You will design pipelines for RNA-Seq, ChIP-Seq, and WGS, apply ML models, and contribute to grants and publications while mentoring junior researchers in a collaborative, results-driven

Qualifications

• PhD or equivalent in bioinformatics or related quantitative field.
• 5+ years post-doctoral/industry experience in computational biology.
• Strong programming in Python and R; proficient in Linux/Unix environment.

Responsabilités

• Design and implement bioinformatics pipelines for high-throughput sequencing data analysis (RNA-Seq, ChIP-Seq, WGS).
• Develop and apply statistical and machine learning models to identify biological patterns and generate hypotheses.
• Collaborate with experimental biologists and clinicians to interpret genomic and proteomic data.
• Manage and curate large-scale biological datasets; ensure data integrity and accessibility.
• Contribute to grant proposals and scientific publications.
• Mentor junior researchers and contribute to team knowledge sharing.

Connaissances

Python

R

Shell scripting

Linux

Data analysis

Communication

Formation

PhD in Bioinformatics or related field

Outils

AWS

GCP

Azure

Description du poste

About the Role

Our client, a forward-thinking entity in scientific advancement, is seeking a highly motivated and experienced Senior Computational Biologist to join their dynamic team. This fully remote position offers a unique opportunity to contribute to groundbreaking research from the comfort of your home office. You will be instrumental in analyzing complex biological datasets, developing novel algorithms, and collaborating with a global network of scientists. We are committed to fostering an inclusive and innovative environment where your contributions directly impact the future of scientific discovery. This role is designed for individuals who thrive in a self-directed, results-oriented setting, possessing a deep passion for unraveling the complexities of life sciences through computational approaches. The Midrand, Gauteng, ZA based team operates on a remote-first principle, ensuring seamless integration and communication regardless of physical location.

Key Responsibilities

• Design and implement bioinformatics pipelines for high-throughput sequencing data analysis (e.g., RNA-Seq, ChIP-Seq, WGS).
• Develop and apply statistical and machine learning models to identify biological patterns and generate hypotheses.
• Collaborate with experimental biologists and clinicians to interpret genomic and proteomic data.
• Manage and curate large-scale biological datasets, ensuring data integrity and accessibility.
• Contribute to the writing of grant proposals and scientific publications.
• Mentor junior researchers and contribute to team knowledge sharing.
• Stay abreast of the latest advancements in computational biology, genomics, and related fields.
• Develop and maintain robust, reproducible codebases using Python and R.

Requirements

• PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in computational biology.
• Proven expertise in analyzing large-scale genomic and transcriptomic datasets.
• Proficiency in programming languages such as Python (with libraries like Biopython, Pandas, SciPy, Scikit-learn) and R.
• Experience with shell scripting and working in a Linux/Unix environment.
• Strong understanding of molecular biology, genetics, and genomics principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) is a plus.

Benefits

• Our client offers a comprehensive benefits package designed to support your well-being and professional growth.
• This includes a competitive salary, generous paid time off, flexible working hours to accommodate your remote lifestyle, and opportunities for continuous learning through workshops and conference attendance.
• We provide a technology stipend to ensure you have the best equipment for your home office.
• Our client also offers health insurance and retirement savings plans.
• Professional development is highly valued, with clear pathways for career advancement within the organization.
• Join a team that is passionate about science and dedicated to making a difference.