Lead Computational Biologist - Genomics

Placements24; United States; Remote; USD 150,000 - 220,000; Full time

Benefits offered by this job

Stock options

Fully remote

Flexible hours

Health insurance

Development budget

Job summary

Placements24 is seeking a Lead Computational Biologist to spearhead genomics research, developing scalable pipelines for NGS data and leading a team of computational biologists. This fully remote role offers flexibility and a chance to shape research directions in bioinformatics.

You will design statistical analyses and ML models to identify biomarkers, collaborate with experimental biologists, and stay at the forefront of genomics innovation in a remote-first culture.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Stats or related quantitative field.
• 7+ years of experience in computational biology focusing on genomics/transcriptomics.
• Proficiency in Python, R, and Bash.
• Experience with NGS data analysis tools and platforms (GATK, STAR, Salmon, Seurat).

Responsibilities

• Develop scalable bioinformatics pipelines for processing and analyzing NGS data.
• Design and perform sophisticated statistical analyses on large genomic, transcriptomic, and epigenomic datasets.
• Collaborate with experimental biologists to interpret sequencing results and guide future experimental design.
• Build predictive models and machine learning algorithms to identify biomarkers and therapeutic targets.
• Lead and mentor a team of computational biologists, fostering collaboration and innovation.
• Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.

Skills

Python

R

bash scripting

Machine Learning

Education

PhD in Computational Biology or related field

Tools

GATK

STAR

Salmon

Seurat

Job description

About the Role

Our client is actively seeking a talented and visionary Lead Computational Biologist to spearhead their genomics research initiatives. This is a fully remote position, allowing you to work from anywhere in South Africa while contributing to groundbreaking discoveries. You will be responsible for developing and implementing cutting-edge computational strategies to analyze large-scale genomic and transcriptomic datasets, driving our understanding of complex biological systems and disease mechanisms. This role offers a unique opportunity to shape the future of our research direction, collaborate with a world-class team of scientists, and make a significant impact in the field of bioinformatics and genomics, all within a supportive, remote-first organizational culture.

Key Responsibilities

• Develop and maintain scalable bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data.
• Design and perform sophisticated statistical analyses on large genomic, transcriptomic, and epigenomic datasets.
• Collaborate with experimental biologists to interpret sequencing results and guide future experimental design.
• Build predictive models and machine learning algorithms to identify biomarkers and therapeutic targets.
• Lead and mentor a team of computational biologists, fostering collaboration and innovation.
• Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Extensive experience (7+ years) in computational biology, with a focus on genomics and transcriptomics.
• Proficiency in programming languages such as Python, R, and bash scripting.
• Strong experience with NGS data analysis tools and platforms (e.g., GATK, STAR, Salmon, Seurat).
• Demonstrated ability to design, implement, and optimize complex bioinformatics workflows.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.

Benefits

• Highly competitive salary commensurate with experience.
• Fully remote work arrangement with flexible hours.
• Generous stock options and performance bonuses.
• Comprehensive health insurance coverage.
• Annual budget for professional development, including conferences and training.