Data Scientist - Bioinformatics

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Comprehensive benefits package

Job summary

Placements24 is seeking a Data Scientist with a Bioinformatics focus in Bloemfontein. The role involves extracting insights from genomic, proteomic, and transcriptomic datasets using advanced computational methods and ML.

You will collaborate with biologists and clinicians, develop pipelines, and visualize results to communicate findings to diverse audiences. Hybrid work setup and a strong research culture are offered.

Qualifications

• Ph.D. or MSc in Bioinformatics, CS, Stats or related field.
• Strong programming skills in Python or R with libraries (Pandas, NumPy, Scikit-learn).
• Experience with genomic, transcriptomic, or proteomic analyses.
• Excellent communication and collaboration in hybrid environments.

Responsibilities

• Analyze large-scale biological datasets using statistical and ML techniques.
• Develop predictive models for disease risk and treatment response.
• Design pipelines for processing genomic, proteomic, and other omics data.
• Collaborate with biologists and clinicians to define research questions.
• Visualize data to communicate insights to technical and non-technical audiences.

Skills

Statistical analysis

Programming in Python or R

Biological data analysis

Communication skills

Hybrid collaboration

Education

Ph.D. or MSc in Bioinformatics, Computer Science, Statistics, or related field

Tools

Python

R

Pandas

NumPy

Scikit-learn

Job description

About the Role

Our client is seeking a talented Data Scientist with a specialization in Bioinformatics to join their innovative research team in Bloemfontein . This role is central to extracting meaningful insights from complex biological datasets, including genomic, proteomic, and transcriptomic data. You will develop and implement advanced computational methods and machine learning algorithms to drive discoveries in areas such as disease mechanisms, drug discovery, and personalized medicine. The ideal candidate possesses strong analytical and programming skills, a deep understanding of biological data, and a passion for solving challenging scientific problems. This is a key position contributing to the future of data-driven biological research.

Key Responsibilities

• Analyze large-scale biological datasets using statistical and machine learning techniques.
• Develop predictive models for disease risk, treatment response, and molecular interactions.
• Design and implement pipelines for processing and interpreting genomic, proteomic, and other 'omics' data.
• Collaborate with biologists and clinicians to define research questions and interpret findings.
• Visualize complex data to communicate insights effectively to both technical and non-technical audiences.

Requirements

• Ph.D. or M.Sc. in Bioinformatics , Computer Science, Statistics, or a related quantitative field.
• Strong programming skills in Python or R, with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with biological data analysis , including genomics, transcriptomics, or proteomics.
• Familiarity with machine learning algorithms and statistical modeling.
• Excellent communication and collaboration skills, with the ability to work in a hybrid environment.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with cutting-edge technologies and large biological datasets.
• Collaborative environment with leading researchers in the field.
• Hybrid work model offering flexibility and work-life balance.
• Contribution to significant advancements in the field of data-driven life sciences.