Computational Biology Leader
- Employer
- Affinity Executive Search
- Location
- Cambridge, Massachusetts, US
- Salary
- Competitive
- Closing date
- May 23, 2021
View more
- Sector
- Academic / Research
- Field
- Conservation science
- Discipline
- Biology
- Salary Type
- Salary
- Employment Type
- Full time
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My client is expanding and seeks a Computational Biology Leader to manage direct reports and develop methods and tools to analyze genomic data. The ideal candidate will take on the following tasks:
* Provide expertise in the analysis of genomes, biosynthetic gene clusters, and evolution
* Independently plan and execute research, as well as guide junior scientists
* Collaborate with microbiology, synthetic biology and biochemistry groups to support ongoing drug discovery programs
* Work with the Data Engineers to improve production pipelines and enrich the genome annotations
The ideal candidate will possess the following qualities:
* PhD with 8+ years of experience, including experience in the biotech industry
* Experience in managing and mentoring teams
* Expertise in data analytics and algorithm development
* Deep technical expertise with commonly used computational genomics tools and methods
* A track record of publications or patents through the application of computational genomics approaches
* Provide expertise in the analysis of genomes, biosynthetic gene clusters, and evolution
* Independently plan and execute research, as well as guide junior scientists
* Collaborate with microbiology, synthetic biology and biochemistry groups to support ongoing drug discovery programs
* Work with the Data Engineers to improve production pipelines and enrich the genome annotations
The ideal candidate will possess the following qualities:
* PhD with 8+ years of experience, including experience in the biotech industry
* Experience in managing and mentoring teams
* Expertise in data analytics and algorithm development
* Deep technical expertise with commonly used computational genomics tools and methods
* A track record of publications or patents through the application of computational genomics approaches
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