Remote Genomics Data Scientist - Bioinformatics Hub

Placements24; Durban; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Professional development

Global team

Job summary

Placements24 is seeking a Remote Genomics Data Scientist to join a pioneering bioinformatics hub. You will analyze large-scale genomic data, build robust pipelines, and apply ML to uncover biological insights, contributing to therapeutic development from a home office.

The role requires advanced degrees in genomics or bioinformatics and 5+ years of hands-on experience with NGS tools. Collaboration with scientists across time zones is essential.

Qualifications

• Advanced degree in bioinformatics or related field.
• Minimum 5 years of hands-on genomic data analysis.
• Proficiency in Python or R and bioinformatics libraries.
• Experience with NGS data analysis tools and workflows.

Responsibilities

• Analyze large-scale NGS data (whole-genome, exome, transcriptome).
• Develop and validate bioinformatics pipelines and algorithms.
• Apply statistics and ML to find meaningful genomic patterns.
• Collaborate with geneticists, biologists and clinicians on research questions.
• Design computational experiments to test hypotheses on gene function and disease.
• Visualize complex data and present findings clearly to diverse audiences.
• Contribute to new bioinformatics tools and software development.
• Keep up-to-date with genomics and computational biology advances.

Skills

Python

R

Statistical analysis

Machine learning

Remote collaboration

Education

PhD in Genomics

Master's in Bioinformatics

Tools

Biopython

SciPy

Pandas

BWA

GATK

Samtools

STAR

DESeq2

Docker

Singularity

Matplotlib

Tableau

Job description

About the Role

Our client is a pioneering bioinformatics company seeking a highly skilled Remote Genomics Data Scientist to join their expanding Bioinformatics Hub. This role is fully remote, offering flexibility while working on cutting-edge genomic research. You will be instrumental in analyzing large-scale genomic datasets, developing sophisticated algorithms, and deriving actionable insights to drive biological discoveries and therapeutic development. This is an unparalleled opportunity to contribute to impactful projects from the comfort of your home office, collaborating with a world-class team of scientists and engineers across different time zones. Your expertise will be crucial in interpreting complex genomic information and translating it into meaningful biological understanding.

Key Responsibilities

• Analyze and interpret large-scale next-generation sequencing (NGS) data, including whole-genome, exome, and transcriptome data.
• Develop, validate, and implement robust bioinformatics pipelines and algorithms for genomic data analysis.
• Utilize statistical and machine learning techniques to identify patterns, correlations, and significant findings in genomic datasets.
• Collaborate closely with geneticists, biologists, and clinicians to address specific research questions and clinical challenges.
• Design and execute computational experiments to test hypotheses related to gene function, regulation, and disease mechanisms.
• Visualize complex genomic data and present findings clearly to both technical and non-technical audiences.
• Contribute to the development of novel bioinformatics tools and software.
• Stay abreast of the latest advancements in genomics, bioinformatics, and computational biology.
• Participate in team meetings and discussions, providing valuable insights remotely.

Requirements

• Master's or Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in analyzing large-scale genomic datasets.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries (e.g., Biopython, SciPy, Pandas).
• Strong understanding of statistical principles and machine learning algorithms relevant to biological data analysis.
• Experience with NGS data analysis tools and workflows (e.g., BWA, GATK, Samtools, STAR, DESeq2).
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity).
• Excellent problem-solving abilities and a systematic approach to research.
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Demonstrated ability to work independently and manage time effectively in a remote setting.
• Experience with data visualization tools (e.g., Matplotlib, ggplot2, Tableau).

Benefits

• This is a fully remote position, allowing you to work from anywhere.
• Our client offers a competitive salary, a comprehensive benefits package including health and wellness programs, retirement savings plans, and generous paid time off.
• We provide opportunities for continuous learning and professional development through online courses, conferences, and access to cutting-edge research literature.
• You will join a dynamic, supportive, and innovative global team, contributing to groundbreaking research in genomics.
• We foster a culture of collaboration and respect, even in a remote environment.