Lead Geneticist - Bioinformatics

Placements24; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Career advancement opportunities

Job summary

Placements24 is seeking a Lead Geneticist to spearhead Bioinformatics initiatives. The role blends on-site collaboration with remote flexibility, leading a team of bioinformaticians and geneticists in analyzing large-scale genomic datasets to uncover insights into disease mechanisms and identify potential therapeutic targets.

The ideal candidate will have a PhD in Genetics or related field, extensive experience in human genetics, and proficiency in Python/R/Perl.

Qualifications

• PhD in a quantitative field with genetics focus.
• Extensive experience in human genetics and population genomics.
• Experience with large-scale genomic datasets (WGS, WES, RNA-Seq).

Responsibilities

• Lead genomic data analysis pipelines.
• Mentor a team of bioinformaticians and genetic researchers.
• Develop statistical and machine learning methods for genetic variant interpretation.
• Collaborate with clinical teams to translate genomic findings into actionable insights.
• Oversee integration of diverse biological datasets for comprehensive analysis.
• Present research findings at conferences and contribute to publications.

Skills

Leadership

Mentoring

Statistical genetics

Computational biology

Education

Ph.D. in Genetics, Bioinformatics, Computer Science, or related field

Tools

Python

R

Perl

Job description

About the Role

Our client is seeking a visionary Lead Geneticist to spearhead their Bioinformatics initiatives in George. This hybrid role offers a blend of on-site collaboration and remote flexibility, allowing you to contribute to groundbreaking genomic research. You will lead a team of bioinformaticians and geneticists in analyzing large-scale genomic datasets to uncover insights into disease mechanisms and identify potential therapeutic targets. This is a pivotal role for an experienced scientist passionate about applying advanced computational methods to solve complex biological questions and driving genetic research forward within a dynamic team environment.

Key Responsibilities

• Lead the design and implementation of genomic data analysis pipelines.
• Manage and mentor a team of bioinformaticians and genetic researchers.
• Develop and apply statistical and machine learning methods for genetic variant interpretation.
• Collaborate with clinical teams to translate genomic findings into actionable insights.
• Oversee the integration of diverse biological datasets for comprehensive analysis.
• Present research findings to scientific conferences and contribute to publications.

Requirements

• Ph.D. in Genetics, Bioinformatics, Computer Science, or a related quantitative field.
• Extensive experience in human genetics and population genomics.
• Proficiency in programming languages such as Python, R, and/or Perl.
• Hands-on experience with large-scale genomic datasets (e.g., WGS, WES, RNA-Seq).
• Demonstrated experience in managing research projects and leading scientific teams.
• Strong understanding of statistical genetics and computational biology principles.

Benefits

• Attractive salary package with annual performance incentives.
• Access to state-of-the-art computational resources and infrastructure.
• Hybrid work model promoting work-life balance.
• Opportunities for career advancement and leadership development.
• Collaborative research environment focused on cutting-edge genomics.