Senior Bioinformatician

Leader in its kind company delivers digital and AI-driven solutions specifically for the life sciences and healthcare industries.
The company provides end-to-end engineering, informatics, and data science services. Quantori utilizes scientific and technical expertise to build scalable, secure, and compliant digital solutions.
Core services and activities include:
• Artificial Intelligence.
• Scientific Informatics and Laboratory Informatics.
• Developing Custom Laboratory Software Solutions.
• Data Science and Engineering.
• Solution Design, such as designing data management infrastructure to support scientific research.
• Cloud Engineering, utilizing expertise in GCP and AWS.
• Developing High Performance Computing (HPC) platforms for tasks like cell image analysis and molecular docking.

Working in a highly collaborative and dynamic research environment, the Computational Sciences Center of Excellence’s Data Delivery and Advanced Technologies (DDAT) team is developing infrastructure and processes to scalably and rigorously transform datasets, so they are ready for machine-driven analysis. Ultimately, this work serves as the basis for accelerating scientific insights in human biology and drug discovery.

Small, cross-functional teams where data scientists, engineers, and scientific experts collaborate closely on real-world pharma and biotech problems.
These teams operate in an agile, client-facing setup, combining domain knowledge with AI and software engineering to build production-ready solutions.
Team members benefit from working on meaningful projects like drug discovery while gaining a rare mix of technical and life sciences expertise.
The environment offers fast learning, international exposure, and strong collaboration, though it requires adaptability to changing client needs.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

Develop sustainable processes and standards for harmonization (i.e. mapping to defined metadata and data standards)
Integration of diverse data to produce high-quality,analysis-ready datasets, especially pertaining to validation and Quality Control
Identify ways to incorporate AI/ML methods into our curation and QC processes to increase automation and to be able to process high-volumes of data at scale Design or/and develop well-documented scripts/programs executing these developed processes
Evaluate scientific publications/datasets and extract the necessary and relevant information for curation and processing for various use cases
Query public data resources and authoritative biological databases (e.g., NCBI, BioMart, etc.) for both data sources and annotation information
Develop and maintain documentation pertaining to developed processes
Gather requirements from key team members and stakeholders and document them clearly and precisely for implementation
Collaborate with cross-functional teams and Product Owners to ensure curated datasets are transformed and represented appropriately

What we expect:

• Excellent organization, strong attention to detail, good communication, and a penchant for thorough, clear notes and documentation.
• Masters or PhD in Bioinformatics/Genetics/Genomics/Biology
• Strong understanding of biology/genetics and min. 3 years experience working in genetics/genomics/proteomics projects
• Strong attention to detail
• Experience working with ‘omics data, analysis methods, and their standard outputs
• Knowledge and expertise to evaluate scientific publications/datasets and to extract the necessary and relevant information for curation and processing for various use cases
• Strong data wrangling skills R/Python
• Knowledge of version control systems (e.g. Git)
• Strong analytical skills with process mapping and proactive problem-solving capabilities
• Exceptional documentation skills

Nice to have

• Experience working with Unix/Linux environment
• Experience with ontologies
• Professional/Interpersonal and excellent interpersonal communication, and a team player
• Ability and a desire to learn quickly
• Ability to work on multiple concurrent projects, especially with rapid turnaround times
• Able to work independently with big-picture guidance