Remote Senior Computational Biologist - Precision Medicine

Placements24; Pretoria; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plans

Generous paid time off

Remote-first culture

Professional development opportunities

Job summary

Placements24 is seeking a Senior Computational Biologist to advance precision medicine research. This fully remote role within South Africa focuses on developing and applying computational strategies to analyze large-scale genomic and clinical datasets to uncover disease mechanisms and personalize treatments.

You will collaborate with a global team, design pipelines, apply ML methods, and integrate multi-omics with clinical data while mentoring junior colleagues in a remote-first culture.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genetics, Statistics, or a closely related field.
• Minimum of 6 years of experience in computational biology or a related quantitative discipline, with a strong focus on human genomics.
• Proficiency in Python and R and experience with relevant bioinformatics libraries and tools.
• Solid understanding of statistical genetics, population genetics, and machine learning.
• Experience with cloud computing environments (AWS, Google Cloud).
• Excellent remote communication, collaboration, and problem-solving skills.

Responsibilities

• Design, implement, and manage computational pipelines for diverse genomic data (WGS, WES, RNA-Seq, methylation).
• Apply statistical methods and ML to identify variants, biomarkers, and pathways related to disease and treatment response.
• Integrate multi-omics data with clinical data to build comprehensive models.
• Collaborate with translational scientists, clinicians, and bioinformaticians to interpret results and generate hypotheses.
• Develop data visualization tools and reports for technical and non-technical audiences in a distributed team.
• Contribute to design and analysis of clinical trials and real-world evidence studies.
• Stay current with advancements in computational biology and precision medicine.
• Mentor junior team members remotely.

Skills

Python

R

Statistical genetics

Machine learning

Remote collaboration

Education

Ph.D. in Bioinformatics/Computational Biology/Genetics/Statistics

Tools

AWS

Google Cloud

Genomic data analysis platforms

Job description

About the Role

Our client is a pioneering force in the field of precision medicine, seeking a highly accomplished Senior Computational Biologist to join their distributed research team. This is a fully remote position, offering flexibility and the opportunity to work from anywhere within South Africa. You will be instrumental in developing and applying advanced computational strategies to analyze large-scale genomic and clinical datasets, aiming to uncover novel insights into disease mechanisms and identify personalized treatment approaches. This role is critical for advancing our understanding of patient stratification and treatment response. The ideal candidate will possess a deep expertise in genomics, statistical genetics, and computational data analysis, coupled with a passion for translating complex biological data into clinically relevant outcomes. You will collaborate virtually with a global team of scientists, clinicians, and data analysts, contributing to groundbreaking research that aims to transform patient care. We foster a remote-first culture, emphasizing communication, collaboration, and impact regardless of physical location. Your contributions will directly influence the development of more effective and tailored therapies.

Key Responsibilities

• Design, implement, and manage computational pipelines for the analysis of diverse genomic data (e.g., WGS, WES, RNA-Seq, methylation arrays).
• Apply statistical methods and machine learning techniques to identify genetic variants, biomarkers, and pathways associated with disease susceptibility and treatment response.
• Integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) with clinical data to build comprehensive models.
• Collaborate closely with translational scientists, clinicians, and bioinformaticians to interpret results and generate hypotheses for further investigation.
• Develop data visualization tools and reports to effectively communicate findings to both technical and non-technical audiences across a distributed team.
• Contribute to the design and analysis of clinical trials and real-world evidence studies.
• Stay current with the latest advancements in computational biology, genomics, precision medicine, and relevant analytical methodologies.
• Mentor junior members of the computational biology team remotely.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genetics, Statistics, or a closely related field.
• Minimum of 6 years of experience in computational biology or a related quantitative discipline, with a strong focus on human genomics.
• Proven experience in developing and applying computational methods for the analysis of large-scale genomic datasets.
• Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and tools.
• Solid understanding of statistical genetics, population genetics, and machine learning algorithms.
• Experience with genomic data analysis platforms and cloud computing environments (e.g., AWS, Google Cloud).
• Excellent remote communication, collaboration, and problem-solving skills.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.
• Experience in precision medicine or clinical genomics is highly desirable.

Benefits

Our client offers a competitive salary commensurate with experience, a comprehensive remote benefits package, including health insurance, retirement savings plans, and generous paid time off. We provide a flexible, remote work environment that prioritizes work-life balance. Opportunities for professional development, including virtual training, conferences, and access to cutting-edge research resources, are readily available. Join our innovative team from the comfort of your home and contribute to the advancement of personalized healthcare. This fully remote role allows you to leverage your expertise while enjoying the flexibility you desire.