Senior Computational Biologist - Remote

Placements24; Midrand; Hybrid; ZAR 1.100.000 - 1.900.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Paid time off

Health & wellness

Professional development

Remote-friendly culture

Zusammenfassung

Placements24 is seeking a Senior Computational Biologist to join a fully remote R&D team. You will analyze large-scale biological data, design advanced computational pipelines, and develop ML-based models to generate testable hypotheses.

The role emphasizes collaboration with world-class scientists and a distributed work environment, enabling impactful discoveries from a home office in South Africa. The position requires a PhD and 5+ years of experience in computational biology or

Qualifikationen

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proven expertise in Python or R and bioinformatics libraries/frameworks.
• Strong understanding of statistical principles and machine learning for biological data.
• Hands-on experience with large-scale data analysis tools and platforms (Unix/Linux, cloud).
• Excellent problem-solving and communication skills; able to work independently and in distributed teams.
• Remote work experience is highly preferred.

Aufgaben

• Design computational pipelines for genomic, transcriptomic, and proteomic data.
• Develop and apply statistical models and ML to identify patterns and generate hypotheses.
• Collaborate with experimental biologists, bioinformaticians, and data scientists to guide experiments.
• Visualize complex data for technical and non-technical audiences.
• Contribute to internal bioinformatics tools and databases.
• Stay updated on advancements in computational biology and bioinformatics.
• Mentor junior team members and contribute to scientific discourse.

Kenntnisse

Python

R

Machine learning

Genomics

Unix/Linux

Cloud computing

Remote collaboration

Ausbildung

PhD in Computational Biology

Tools

Bioconductor

Cloud platforms

HPC

Jobbeschreibung

About the Role

Our client, a pioneering force in biotechnology, is seeking an exceptional Senior Computational Biologist to join their dynamic and fully remote research and development team. This pivotal role is instrumental in advancing our understanding of complex biological systems through advanced computational analysis and data-driven insights. You will be at the forefront of innovation, working with cutting-edge technologies and collaborating with world-class scientists to tackle challenging biological questions. As a remote-first organization, we champion a flexible and collaborative work environment, empowering our team members to thrive regardless of their geographical location. This is a unique opportunity to make a significant impact in the field of bioinformatics and contribute to groundbreaking scientific discoveries, all from the comfort of your home office in Midrand, Gauteng, ZA.

Key Responsibilities

• Design and implement sophisticated computational pipelines for the analysis of large-scale genomic, transcriptomic, and proteomic datasets.
• Develop and apply statistical models and machine learning algorithms to identify patterns, predict outcomes, and generate testable hypotheses in biological data.
• Collaborate closely with experimental biologists, bioinformaticians, and data scientists to interpret results and guide experimental design.
• Visualize complex biological data in an intuitive and informative manner for both technical and non-technical audiences.
• Contribute to the development and maintenance of internal bioinformatics tools and databases.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
• Mentor junior team members and contribute to the scientific discourse within the R&D department.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proven expertise in scripting languages such as Python or R, and experience with bioinformatics libraries and frameworks.
• Strong understanding of statistical principles and machine learning techniques applied to biological data.
• Hands-on experience with large-scale data analysis tools and platforms (e.g., Unix/Linux, cloud computing environments).
• Excellent problem-solving skills and the ability to work independently and as part of a distributed team.
• Strong communication and interpersonal skills, with the ability to present complex findings clearly.
• Demonstrated experience in a remote work setting is highly preferred.

Benefits

Our client offers a competitive compensation package commensurate with experience, along with comprehensive benefits designed to support our remote workforce. This includes flexible working hours, generous paid time off, health and wellness programs, professional development opportunities, and a supportive company culture that values innovation and collaboration. Experience the advantage of working with a leading research organization without the constraints of a traditional office environment, contributing to significant scientific advancements while maintaining work-life balance. The position offers significant potential for career growth and impact.