Computational Biologist (Collaborations & Applications)

Biomodal; East London; Hybrid; ZAR 40 000 - 80 000; Full time

Job summary

An innovative company is seeking a Computational Biologist to support collaborations with early adopters in the field of multiomic research. This exciting role involves developing and testing novel analysis pipelines, working closely with scientists and engineers to maximize insights from cutting-edge products. Ideal candidates will have a strong background in bioinformatics or computational biology, with proficiency in programming languages like Python or R. Join a forward-thinking team dedicated to advancing personalized medicine and make a significant impact in understanding health and disease.

Benefits

Annual bonus scheme

Health and life insurance

Flexible/hybrid working

Enhanced leave and parental leave

10% pension contribution

Qualifications

• PhD or equivalent in biological or quantitative sciences focused on bioinformatics.
• Proficiency in programming languages such as Python, R, or Julia.

Responsibilities

• Collaborate with customers to test products and publish scientific findings.
• Design, execute, and analyze experiments to evaluate product utility.

Skills

Bioinformatics

Python

R

Genomic Data Science

Data Visualization (seaborn, ggplot)

Education

PhD in Biological or Quantitative Sciences

Tools

GCP

AWS

Snakemake

NextFlow

Job description

Computational Biologist (Collaborations & Applications) at biomodal

Join biomodal, a company at the forefront of multiomic research, committed to advancing personalized medicine through innovative omics technologies.

About Biomodal

Biomodal is an omics-based life sciences technology and analytics company focused on understanding the complex interplay of genomics and epigenomics. We have launched products like duet +modC and duet evoC, with more in development, aiming to revolutionize our understanding of health and disease.

The Role

We are seeking a Bioinformatics Scientist to support collaborations with early adopting customers by developing and testing novel analysis pipelines. This role involves working closely with scientists, data scientists, bioinformaticians, and engineers to maximize insights from biomodal's products.

Responsibilities

• Collaborate with customers to test products and publish scientific findings.
• Design, execute, and analyze experiments to evaluate product utility.
• Develop proof-of-concept methods for analyzing novel data.
• Understand and communicate customer requirements to product teams.
• Troubleshoot experiments using complex omics data and collaborate on solutions.

Candidate Profile

Ideal candidates will have a background in bioinformatics or computational biology and value collaboration and impact.

Essential Skills

• PhD or equivalent in biological or quantitative sciences with a focus on bioinformatics.
• Proficiency in programming languages such as Python, R, or Julia.
• Knowledge of genomic data science methods, including experimental design, QC, variant calling, CNV calling, DMR analysis.
• Familiarity with bioinformatics data formats (FASTQ, BAM, VCF) and data access methods.
• Experience with data visualization tools like seaborn or ggplot.

Nice to Have

• Knowledge of software development best practices.
• Experience with cloud platforms (GCP, AWS).
• Experience with genomic workflow platforms (snakemake, NextFlow).

Behaviors

• Entrepreneurial mindset and adaptability.
• Strong communication skills for diverse audiences.
• Team-oriented and collaborative approach.

Benefits

• Annual bonus scheme
• Health and life insurance
• Flexible/hybrid working
• Enhanced leave and parental leave
• 10% pension contribution

Additional Details

Seniority level: Mid-Senior | Employment type: Full-time | Job function: Research, Analyst, IT