The Dana-Farber Cancer Institute seeks a Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Computational Biologist will work on the analysis of new and existing genomic datasets to advance efforts in Pediatric Cancer Genomics, with the goal of arriving at new insights around cancer risk, clinical biomarkers, and precision cancer medicine to advance the care of pediatric cancer patients.
The qualified candidate will carry out data analysis, develop and support data processing and analysis tools, create new algorithms for emerging clinically focused needs with an emphasis on bulk and single cell tumor analysis, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.
Projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children's Hospital, the Harvard Medical School, and multiple other institutions. Projects have the potential to identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The Computational Biologist hired for this position will join a collaborative team in this effort and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data.
This Computational Biologist will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code, and data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. As such, the Computational Biologist should have a willingness to learn new languages and tools as the field grows, as well as have an interest in cancer biology/ medicine more broadly.
- Related projects and responsibilities will include, but are not limited to:
- Whole-genome and whole-exome sequencing analysis of normal samples from pediatric cancer patients
- Whole-genome sequencing and single-cell sequencing analysis of tumor samples
- Studies of resistance to existing and emerging cancer therapies using patient-derived data
- Studies of patient samples for tumor behavior and clinical outcomes
MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree required in a STEM field. Master's degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences.
Minimum Experience: 1 year with Bachelor's degree or 0 years with Master's degree; academic research experience or authorship in scientific publications experience may substitute for work experience.
SUPERVISORY RESPONSIBILITIES:This position will involve co-mentoring of students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.PATIENT CONTACT: None
SPECIAL WORKING CONDITIONS:The Computational Biologist is requested to be in the office to facilitate integration with the collaborative team, learning, and meaningful progress on research projects.
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$75,000.00 - $91,500.00
