Senior Research Scientist - Computational Biology

Placements24; Sandton; Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Health, dental, vision insurance

Generous paid time off

Remote work environment

Professional growth opportunities

Job summary

Placements24 seeks an experienced Senior Research Scientist in Computational Biology to join a fully remote team. You will analyze large omics datasets to identify drug targets and biomarkers, applying advanced ML methods and statistical models.

Collaboration with biologists and data scientists will translate findings into actionable research strategies. PhD required with 7+ years in the field, strong Python/R skills, and experience with AWS/GCP and HPC environments.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or bioinformatics research.
• Strong proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and libraries.
• Demonstrated expertise in statistical modeling, machine learning, and data mining techniques applied to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments is a plus.
• Excellent communication, collaboration, and problem-solving skills, suited for a remote team environment.

Responsibilities

• Design and execute computational analyses on large omics datasets (genomics, transcriptomics, proteomics).
• Develop and implement advanced statistical models and machine learning algorithms for biological data interpretation.
• Collaborate with experimental biologists to define research questions and analyze resulting data.
• Identify and validate potential drug targets and biomarkers based on computational findings.
• Develop and maintain robust, reproducible computational pipelines and workflows.
• Present complex findings clearly and effectively to both technical and non-technical audiences.

Skills

Python

R

Machine learning

Bioinformatics

Data mining

Education

Ph.D. in Computational Biology

Tools

AWS

GCP

HPC

Job description

About the Role

Our client is seeking an experienced Senior Research Scientist in Computational Biology to join their innovative, fully remote team. This role is crucial for analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics, to identify novel therapeutic targets and understand disease mechanisms. You will develop and apply advanced computational methods and machine learning algorithms to uncover complex biological patterns and drive research initiatives. Collaborating closely with experimental biologists and data scientists, you will play a key part in translating data-driven insights into actionable research strategies. This position offers the flexibility of remote work combined with intellectually stimulating challenges in a cutting-edge scientific field.

Key Responsibilities

• Design and execute computational analyses on large omics datasets (genomics, transcriptomics, proteomics).


• Develop and implement advanced statistical models and machine learning algorithms for biological data interpretation.


• Collaborate with experimental biologists to define research questions and analyze resulting data.


• Identify and validate potential drug targets and biomarkers based on computational findings.


• Develop and maintain robust, reproducible computational pipelines and workflows.


• Present complex findings clearly and effectively to both technical and non-technical audiences.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.


• Minimum of 7 years of experience in computational biology or bioinformatics research.


• Strong proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and libraries.


• Demonstrated expertise in statistical modeling, machine learning, and data mining techniques applied to biological data.


• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments is a plus.


• Excellent communication, collaboration, and problem-solving skills, suited for a remote team environment.

Benefits

• Highly competitive salary and potential for performance bonuses.


• Comprehensive health, dental, and vision insurance.


• Generous paid time off and flexible work schedules.


• Significant opportunities for professional growth and development in a remote setting.


• Be at the forefront of discovery in a dynamic, collaborative, and fully remote research organization.