Principal Computational Biologist

Placements24

LegKraal Gate

Hybride

ZAR 1 800 000 - 3 200 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Competitive salary
Medical, dental and vision insurance
Generous paid time off
Professional development opportunities
Remote work from anywhere in South SA

Résumé du poste

Placements24 is seeking a Principal Computational Biologist to lead advanced analyses across genomics, transcriptomics, proteomics, and clinical data. This fully remote role within South Africa offers flexibility to work from anywhere in the country and to shape research strategy.

Responsibilities include developing ML models, building bioinformatics pipelines, mentoring junior scientists, and collaborating with biologists and data scientists to deliver biomarker discoveries and therapeutic

Qualifications

  • PhD in Computational Biology, Bioinformatics, CS, Statistics, or related field
  • 8+ years of experience in computational biology or related discipline
  • Expertise in Python, R, and/or C++
  • Proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Strong statistical modeling, hypothesis testing, and experimental design
  • NGS data analysis experience is essential
  • Experience building complex computational workflows and algorithms
  • Excellent communication and mentoring skills
  • Experience with cloud platforms (AWS, GCP, Azure) desirable

Responsabilités

  • Develop and apply advanced computational and statistical methods to analyze complex biological datasets (genomics, transcriptomics, proteomics, etc.)
  • Design and implement machine learning models for predictive analytics, classification, and clustering
  • Collaborate with experimental biologists and bioinformaticians to interpret data and generate biological insights
  • Identify and validate biomarkers and therapeutic targets through data-driven approaches
  • Develop and maintain robust bioinformatics pipelines and software tools
  • Lead computational biology aspects of research projects from conception to completion
  • Mentor junior computational biologists and data scientists
  • Stay abreast of latest advancements in computational biology, machine learning, and bioinformatics
  • Contribute to scientific strategy and direction of research programs
  • Author and co-author high-impact publications and present findings at conferences

Connaissances

Leadership
Mentoring
Communication
Collaboration

Formation

PhD in Computational Biology

Outils

Python
R
C++

Description du poste

About the Role

Our client, a cutting-edge biotechnology firm, is seeking a highly accomplished Principal Computational Biologist to join their pioneering research team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa . You will play a pivotal role in designing and implementing sophisticated computational and statistical analyses of large-scale biological datasets, including genomics, transcriptomics, proteomics, and clinical data. The ideal candidate will possess a deep understanding of biological systems, advanced programming skills, and extensive experience in machine learning and data mining techniques. You will drive key research initiatives, collaborate with experimental biologists and bioinformaticians, and contribute to the discovery of novel biomarkers and therapeutic targets.

Key Responsibilities
  • Develop and apply advanced computational and statistical methods to analyze complex biological datasets (genomics, transcriptomics, proteomics, etc.).
  • Design and implement machine learning models for predictive analytics, classification, and clustering of biological data.
  • Collaborate closely with experimental biologists and bioinformaticians to interpret data and generate biological insights.
  • Identify and validate novel biomarkers and therapeutic targets through data-driven approaches.
  • Develop and maintain robust bioinformatics pipelines and software tools.
  • Lead computational biology aspects of research projects from conception to completion.
  • Mentor and guide junior computational biologists and data scientists.
  • Stay abreast of the latest advancements in computational biology, machine learning, and bioinformatics.
  • Contribute to the scientific strategy and direction of research programs.
  • Author and co-author high-impact publications and present findings at scientific conferences.
Requirements
  • PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • A minimum of 8 years of relevant experience in computational biology or a closely related discipline, with a strong focus on analyzing large biological datasets.
  • Expertise in programming languages such as Python, R, and/or C++.
  • Proficiency with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong understanding of statistical modeling, hypothesis testing, and experimental design.
  • Experience with analyzing next-generation sequencing (NGS) data is essential.
  • Proven ability to develop and implement complex computational workflows and algorithms.
  • Excellent communication, collaboration, and interpersonal skills.
  • Demonstrated experience in leading research projects and mentoring junior team members.
  • Experience with cloud computing platforms (AWS, GCP, Azure) is highly desirable.
Benefits
  • Our client offers a highly competitive salary, commensurate with your extensive experience and leadership capabilities.
  • Comprehensive benefits include excellent medical, dental, and vision insurance, ensuring your well-being.
  • Generous paid time off, including annual leave, sick days, and public holidays, supports a healthy work-life balance.
  • Opportunities for continuous professional development, including access to advanced training, workshops, and conferences, are readily available.
  • This fully remote role provides the ultimate flexibility, allowing you to work from your preferred location in South Africa.
  • Retirement savings plans are also provided to support your long-term financial security.
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