Knowledge, Skills, And Experience
- PhD in Bioinformatics, Statistics, Biology, or related discipline
- 3+ years post-doctoral work experience in academia or industry
- 8+ years experience analyzing data in an academic or industry setting ( Will consider combination of PhD program, Post Doctoral work and industry work experience. )
- Strong publication record in immuno-oncology, translational medicine, immunology, cancer biology, or related field
- Strong knowledge of two or more molecular data types (sequencing, gene expression, flow/CyTOF, tissue imaging, or related)
- Strong programming skills in R
- Experience with ggplot2, seaborn, matplotlib, or related visualization libraries
- Experience with command line tools and cloud computing
- Strong knowledge of statistical concepts relevant to translational research (hypothesis testing, survival analysis, regression, etc.)
- Experiencing mentoring or managing junior scientists
- Ability to communicate results to a variety of stakeholders, including technical and non-technical scientific audiences
- Ability to work as a team player, respecting others and holding a “learner not knower” attitude
- Ability to work independently in a multi-disciplinary environment
- Bonus qualifications:
- Experience with management (a management role could be available)
- Experience working in a pharma or biotech industry setting
- Experience at the bench running flow/CyTOF, imaging, or sequencing assays
- Experience in Immuno-Oncology
- Experience with clinical research
- Experience with database technologies
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