Senior Computational Biologist: Genomics & Drug Discovery

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Hybrid work model

Conference attendance

Job summary

Placements24 is partnering with a cutting-edge biotechnology firm in Queenstown to recruit a Senior Computational Biologist. The role focuses on analyzing large-scale genomic and transcriptomic data, developing computational pipelines, and identifying therapeutic targets.

You will collaborate with experimental teams, mentor junior scientists, publish findings, and contribute to drug discovery programs using Python/R, cloud platforms, and state-of-the-art analytics in a hybrid Queenstown setting.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Genomics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of postdoctoral or industry experience in computational biology, with a strong focus on analyzing large-scale omics data.
• Proficiency in Python or R and related bioinformatics libraries/tools (e.g., Bioconductor, Samtools, GATK).
• Strong understanding of statistical principles and machine learning techniques for biological data.
• Experience with cloud computing platforms (AWS, GCP) and big data technologies.
• Familiarity with sequencing technologies (Illumina, PacBio) and data formats.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration abilities for a hybrid work model.
• Track record of publications in peer-reviewed journals is desirable.

Responsibilities

• Analyze large-scale genomic, transcriptomic, and epigenomic datasets using advanced bioinformatics tools and statistical methods.
• Develop and implement computational pipelines for variant calling, gene expression analysis, pathway analysis, and network inference.
• Collaborate with experimental biologists, chemists, and clinicians to design experiments and interpret results in drug discovery.
• Identify and prioritize novel drug targets and biomarkers based on multi-omics data integration.
• Develop and maintain robust codebases and databases for managing and analyzing biological data.
• Stay abreast of advancements in computational biology, genomics, and machine learning.
• Communicate findings clearly through presentations, reports, and publications.
• Mentor junior computational biologists and contribute to strategic direction of the team.

Skills

Analytical skills

Communication

Collaboration

Problem-solving

Critical thinking

Education

Ph.D. in Computational Biology, Bioinformatics, Genomics, Computer Science, Statistics

Tools

Python

R

Bioconductor

Samtools

GATK

AWS

GCP

Job description

Placements24 is partnering with a cutting-edge biotechnology firm in Queenstown to recruit a Senior Computational Biologist. The role focuses on analyzing large-scale genomic and transcriptomic data, developing computational pipelines, and identifying therapeutic targets.

You will collaborate with experimental teams, mentor junior scientists, publish findings, and contribute to drug discovery programs using Python/R, cloud platforms, and state-of-the-art analytics in a hybrid Queenstown setting.