Senior/Principal Data Scientist, Computational Biology
- Employer
- Genocea
- Location
- Cambridge, Massachusetts, US
- Salary
- Competitive
- Closing date
- Oct 15, 2021
View more
- Sector
- Academic / Research
- Field
- Informatics / GIS
- Discipline
- Biology
- Salary Type
- Salary
- Employment Type
- Full time
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We are seeking a talented and highly motivatedSenior/Principal Data Scientist, with strong scientific expertise and skills in computational biology. Responsibilities span supporting on-going research activities, data mining clinical/research data for insight and analyzing data from immune-oncology clinical trials. The successful candidate will possess the ability to work in a fast-paced multidisciplinary environment and will also mentor team members and manage a direct report.
Responsibilities
Minimum Qualifications
Preferred Skills & Experience
We aim for a high-performing and collaborative culture that embraces diversity, equity and inclusion as a source of strength
by Jobble
Responsibilities
- Work within an interdisciplinary team of molecular biologists, cellular biologists, data scientists, statisticians and software engineers to support utilization and optimization of the ATLAS antigen discovery platform
- Develop and prototype methods and analytical tools to deliver insights and hypotheses from multi-dimensional biological data sets
- Lead computational biology projects and manage an individual with the goal of providing data analysis support to research teams as well as to innovate, test and prototype data analysis methods
- Process, analyze and interpret high volumes of cellular profiling data as part of internal and external scientific studies
- Present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner
- Work independently and prepare timetables, deliverables, and project schedules
Minimum Qualifications
- Ph.D. in Bioinformatics, Computational biology or other related fields
- 2+ years of relevant biotech/pharma experience
- Demonstrated expertise in genomic data analysis
- In depth knowledge of relevant public and proprietary databases, methods and tools (NCBI, UCSC Genome Browser, TCGA)Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context.
- Strong programming skills in Python and R. Working knowledge of databases solutions such as SQL
- Ability to present data to a multidisciplinary audience in a clear and cohesive manner
- Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment
- Excellent teamwork, time management and organizational skills
Preferred Skills & Experience
- Experience in cancer, immunology research
- Strong scientific understanding of cellular biology, molecular biology including experience with transcriptomics and cellular profiling data
- Experience in application of statistical techniques to biological data, experience in exploratory analysis
We aim for a high-performing and collaborative culture that embraces diversity, equity and inclusion as a source of strength
by Jobble
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