About the Role
Our client is a pioneering biotechnology firm seeking an exceptional Lead Bioinformatics Scientist to spearhead their data science initiatives. As a remote-first organization, we thrive on innovation and collaboration across geographical boundaries. This senior role will be responsible for developing and implementing cutting-edge computational strategies to analyze large-scale genomic and proteomic datasets. You will lead a talented team of bioinformaticians, guide research directions, and play a crucial role in translating complex biological data into actionable insights. This is a unique opportunity to shape the future of our data analysis infrastructure and drive significant breakthroughs in drug discovery and personalized medicine. The Cape Town based company culture embraces flexibility and cutting-edge technology.
Key Responsibilities
- Lead the design, development, and maintenance of scalable bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis.
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and high-performance environment.
- Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and data analysis strategies.
- Develop and implement novel algorithms and statistical models to address complex biological challenges.
- Ensure the quality, integrity, and reproducibility of all bioinformatics analyses.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological domains.
- Communicate complex findings effectively to both technical and non-technical audiences through reports and presentations.
- Contribute to grant writing and the preparation of scientific publications.
- Oversee the deployment and management of computational resources.
Requirements
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field.
- Minimum of 8 years of progressive experience in bioinformatics, with at least 2 years in a leadership or supervisory role.
- Extensive experience with programming languages such as Python, R, and Perl, and proficiency in shell scripting.
- Strong expertise in handling and analyzing large-scale biological datasets (e.g., Next-Generation Sequencing data).
- Deep understanding of genomics, transcriptomics, proteomics, and related biological pathways.
- Familiarity with various bioinformatics databases, tools, and software packages (e.g., BLAST, GATK, samtools, R packages).
- Proven experience in leading scientific projects and managing research teams.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Benefits
- Highly competitive annual salary of R .
- Generous stock options package.
- Fully remote work environment enabling work-life balance.
- Comprehensive health, dental, and vision insurance.
- Professional development budget for conferences and training.
- Opportunity to work on groundbreaking research in a dynamic startup environment.
- Regular virtual team-building activities and social events.
- Annual performance bonuses.