Lead Bioinformatician - Genomics

Placements24; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Annual leave and flexible hours

Conference attendance

Access to cutting-edge resources

Collaborative work environment

Job summary

Placements24 is seeking a Lead Bioinformatician to drive genomics research strategies in the United States. You will design analyses for large-scale sequencing data, develop pipelines, and lead a team of bioinformaticians, working alongside experimental biologists and clinicians.

The ideal candidate will have a PhD in a quantitative field with 7+ years in genomics, expert Python/R skills, and experience with HPC and cloud platforms.

Qualifications

• PhD in a quantitative field is required with genomics emphasis.
• 7+ years progressive experience in bioinformatics focusing on genomics.
• Strong programming skills in Python and R with shell scripting.
• Experience with HPC clusters and cloud platforms is essential.

Responsibilities

• Lead design and execution of analyses for high-throughput sequencing data.
• Develop robust bioinformatics pipelines and annotation tools.
• Mentor and manage a team of bioinformaticians; foster collaboration.
• Collaborate with experimental scientists to integrate data types.
• Contribute to grant writing and publications; present findings.
• Ensure data integrity and scalable storage for large datasets.

Skills

Leadership

Communication

Problem solving

Education

Ph.D. in Bioinformatics, Computer Science, Computational Biology, or related field

7+ years experience in bioinformatics/genomics

Tools

Python

R

Shell scripting

HPC

Cloud computing

Statistical software

Job description

About the Role

Our client is looking for a visionary Lead Bioinformatician to spearhead their genomics research initiatives in George . This critical role involves developing and implementing advanced computational strategies to analyze large-scale genomic datasets, uncovering insights that drive drug discovery and personalized medicine. You will lead a team of bioinformaticians, foster innovation in computational biology, and collaborate closely with experimental biologists and clinicians. The ideal candidate is a seasoned expert in bioinformatics with a deep understanding of genomic technologies and a proven ability to translate complex biological questions into actionable computational solutions, shaping the future of genetic research.

Key Responsibilities

• Lead the design and execution of computational analyses for high-throughput sequencing data (e.g., whole-genome, exome, RNA-seq).
• Develop and maintain robust bioinformatics pipelines and algorithms for data processing, variant calling, and functional annotation.
• Manage and mentor a team of bioinformaticians, fostering a collaborative and innovative research environment.
• Collaborate with experimental scientists to interpret genomic findings and integrate them with other biological data types.
• Contribute to grant writing and manuscript preparation, showcasing research findings to the scientific community.
• Ensure data integrity, quality control, and efficient storage of large genomic datasets.

Requirements

• Ph.D. in Bioinformatics, Computer Science, Computational Biology, or a related quantitative field.
• Minimum of 7 years of progressive experience in bioinformatics, with a focus on genomics.
• Proficiency in programming languages such as Python, R, and shell scripting, along with experience in statistical software.
• Expertise in using high-performance computing (HPC) clusters and cloud computing platforms.
• Strong understanding of statistical genetics, population genetics, and machine learning applications in biology.
• Excellent leadership, communication, and problem-solving skills are essential for success in George .

Benefits

• Highly competitive salary and comprehensive benefits package.
• Generous annual leave and flexible working hours.
• Opportunities to attend and present at international conferences.
• Access to cutting-edge computational resources and collaborations.
• A supportive and intellectually stimulating work environment for pioneering genomic research.