Computational Biologist - Pediatric Genomics Research (Janeway Lab & Van Allen Lab)
Dana-Farber Cancer Institute
Location: Boston, Massachusetts
Internal Number: 2022-31182
The Dana-Farber Cancer Institute seeks a Computational Biologist to work under the direct supervision of Dr. Riaz Gillani, a pediatric oncologist and computational researcher in the Van Allen Lab (http://vanallenlab.dana-farber.org/) and Janeway Lab (https://janewaylab.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.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
Related projects and responsibilities will include, but are not limited to:
Whole-genome sequencing and single-cell sequencing analysis of tumor samples
Whole-genome and whole-exome sequencing analysis of normal samples from pediatric cancer patients
Studies of resistance to existing and emerging cancer therapies using patient-derived data
Studies of patient samples for tumor behavior and clinical outcomes
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.
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.
A B.S. or M.S. in computer science, biomedical engineering, mathematics, or other related disciplines/ comparable research experience
Significant experience in computer programming and computational biological applications (experience in R and/ or Python, as well as cloud computing)
A strong background in statistics and biology
Experience managing and curating large datasets
Excellent oral and written communication skills and the ability to perform both self-directed and guided research
Outstanding personal initiative and the ability to work effectively as part of a team
Ability to meet deadlines and efficiently multitask
Ability to effectively collaborate across a range of individuals with from various disciplines, including computer science and clinical medicine
Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the community
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.?? As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.?? Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to under-served members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.