QP Group · 1 month ago
Bioinformatics Engineer
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $240K/yr
2+ years expQP Group is supporting a venture-backed, AI-native biotechnology company headquartered in San Francisco as they continue to scale their scientific and engineering teams. The role involves designing and interpreting bioinformatics analyses, collaborating with various experts, and contributing to drug discovery processes through data analysis and communication of findings.
Management Consulting
Hiring Manager
Jack Maclean
Responsibilities
Design, execute, and interpret complex bioinformatics analyses across diverse biological datasets
Support the evaluation and development of AI models used within drug discovery and translational research workflows
Collaborate closely with computational scientists, ML engineers, and domain experts to develop scientifically rigorous evaluation frameworks
Analyse multi-omics, screening, pharmacology, and experimental datasets to generate actionable biological insights
Build reproducible analytical pipelines and workflows using modern computational tools and best practices
Translate complex biological questions into structured computational analyses
Contribute to scientific recommendations that influence programme strategy and therapeutic decision-making
Communicate findings effectively to both technical and non-technical stakeholders
Qualification
Required
MSc or PhD in Bioinformatics, Computational Biology, Genomics, Systems Biology, Biological Sciences, or a related discipline
2-8 years of industry experience within biotechnology, pharmaceutical, or AI-enabled life sciences environments
Strong understanding of 'Discovery' phase within drug discovery and development processes
Hands-on experience analysing biological datasets and generating insights that have informed programme-level decisions
Strong coding ability in Python and/or R
Experience working with Jupyter Notebooks and reproducible research environments
Ability to operate independently whilst collaborating within highly cross-functional teams
Preferred
Multi-omics analysis (Genomics, Transcriptomics, Proteomics, Single Cell)
Small Molecule, Biologics, mRNA, Oligonucleotide, Cell & Gene Therapy, or related therapeutic modalities
Machine Learning or AI-enabled research environments
Cloud-based computational infrastructure
Scientific publication record and/or industry project leadership experience
Benefits
Fully Remote across the US & Europe
Initial onboarding week in San Francisco
Opportunity to work alongside some of the industry's leading AI and drug discovery specialists
Company
QP Group
https://qpexec.com/ Executive Solutions for Life Sciences, Healthtech & Biopharma Connecting innovative companies with the top 1% of talent in their respective markets - we are moving the needle in healthcare one hire at a time.
Founded in 2025Manchester, England, GB
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase