Pharmaceutical - Computational Biologist
5 months ago
**Who are we? **:**Amaris Consulting** is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
**Brief Call**: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you
**Interviews** (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities
**Case study**: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
We look forward to meeting you
**Job description**:
We are looking for dynamic consultants to grow our **Life Sciences** team in **Toronto**. Your experience, knowledge, and commitment will help us to face our client's challenges.
You will be supporting different projects through your expertise as **Pharmaceutical - Computational Biologist**.
**Your main responsibilities**:
- Perform computational analyses to
- 1) Identify cell types, cell states, genes, and pathways associated with clinical outcomes or other clinical variables using single-cell or bulk RNAseq data.
- 2) Contribute to the development of user-friendly interfaces and reports to explore clinical data, biomarker data and single-cell/bulk RNAseq information
- Integrative analysis of different data modalities to infer associations with clinical outcome or other clinical variables
- Collaborate closely with other computational and wet lab scientists
- Contribute intellectually to the ongoing research projects
- Present at team & department meetings
**Qualifications**:
- Education level: PhD (preferred), M.S.
- Minimum of 5 years of experience in Bioinformatics, Computational Biology, or related field
- Proficiency in R, Python, Unix, and Git
- Experience with performing statistical analysis
- Experience with analyzing bulk and single-cell RNA-seq
- Experience with single-cell analysis tools
- Nice-to-Have:_
- Familiarity with R Shiny for app development & deployment
- Familiarity with Clinical Trial data and Survival Analysis
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