Design and execute research projects for early stage to mid stage biopharmaceutical partners
Perform complex computational analyses and provide interpreted insights in a consultative approach
Partner with pharma clients to design, develop and execute computational research projects
Support exploratory research for target discovery and validation in early phases of drug development
Help train and manage junior scientists on team
Present scientific findings clearly and meaningfully to diverse sets of external stakeholders
Requirements
PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar)
Minimum 2+ years in drug development leveraging genomic and multimodal data for drug discovery and development
Proficient in R, Python, and SQL
Strong understanding of cancer biology
Excellent written and verbal communication skills
Strong understanding of molecular data and artificial intelligence in drug discovery
Previous experience working with large transcriptome and NGS data sets
Ability to work collaboratively in a team environment
Thrive in a fast-paced environment and willing to shift priorities seamlessly
Strong peer-reviewed publication record
Benefits
incentive compensation
restricted stock units
medical and other benefits depending on the position
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.