Los Angeles, California
Charlottesville, Virginia
Brownsville, Texas
Los Angeles, California
Indianapolis, Indiana,
Boston, Massachusetts
San Francisco, California
New York, NY, 10176, USA
Posted: 10-Dec-22
Location: Boston, Massachusetts
Salary: Open
Internal Number: 2023-32228
The Beltran Lab in Dana-Farber Cancer Institute fosters a??supportive??environment offering excellent scope for professional growth. We provide robust mentorship for those on an academic track to pursue higher education. We also have numerous collaborations with pharmaceutical companies which provides networking opportunities and to gain transferable skillsets for industry positions.
The Beltran Lab is focused on understanding mechanisms of treatment resistance in advanced prostate cancer through integration of clinical and molecular features of patients combined with preclinical modeling. We have used genomics and epigenomics to elucidate the molecular mechanisms driving lineage plasticity and evolution towards an androgen indifferent state. We are developing tissue and circulating biomarkers and novel therapeutic strategies for clinical translation. Our mission is to make discoveries that improve the way we manage and treat patients with advanced prostate cancer:????https://beltranlab.dana-farber.org/??
The Dana-Farber Cancer Institute seeks a Computational Biologist who will work in the Beltran laboratory. The successful candidate will work as a data scientist on the analysis of datasets generated from prostate cancer genome sequencing, RNA-sequencing, DNA methylation profiling and ChIPseq data, and drug sensitivity testing in order to help advance efforts for precision cancer medicine.??
The qualified candidate will develop and implement integrative computational approaches to analyze sequencing data of patients and preclinical models to understand and co-target acquired mechanisms of therapy resistance in prostate cancer. The candidate will become part of an integrated team including laboratory, computational and clinical scientists across Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT.
This new data could help identify novel approaches for personalized care in prostate cancer treatment.?? 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 person hired for this position will join the team and take a leading role in these computational biology efforts.
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.
- Integrative data analyses of genome sequencing, RNA-sequencing, DNA methylation profiling and ChIPseq data and drug sensitivity testing from patient derived preclinical models to define new treatment paradigms for advanced prostate cancer.
- Studies of drug sensitivity and resistance to existing and emerging cancer therapies using data from genomic and functional analysis of patient-derived samples
- Studies of patient samples, including cell free DNA and DNA methylation, for tumor behavior and clinical outcomes
- Integrative analyses of data from functional genetic screening (e.g. CRISPR-Cas9), protein-protein interaction studies (e.g. IP-Mass Spectrometry), and epigenetic profiling (e.g. Chromatin immunoprecipitation) to identify novel therapeutic targets.
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 Education:
2 years with Bachelor???s degree or 1 year with Master???s degree; academic research experience or authorship in scientific publications experience may substitute for work experience.
- A strong background in statistics and biology. Experience managing and analyzing large datasets desired.
- Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required.
- Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
- Ability to work effectively and multi-task in a fast-paced, multi-disciplinary environment is a must.
- Excellent oral and written communication skills with the ability to effectively collaborate across a range of knowledge (e.g. effective communication with software developers and physicians)
- Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the lab and the DFCI/Broad Institute community.
- Experience in R and/or Python is preferred, with willingness to learn new languages and tools as the field grows
This position may involve supervision of associate computational biologists, graduate students and clinical data management specialists to accomplish research goals. Opportunities for growth in developing multi-disciplinary teams that are project oriented.
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.
