SimBioSys (http://www.simbiosys.com) is seeking an exceptionally talented biomedical engineer or systems biologist to work on one of the most important challenges in medicine - improving outcomes in Cancer. SimBioSys is a technology company on a mission to deploy Computational Oncology to transform decision making and patient experience in Cancer Care. By virtualizing cancer, clinicians and patients are empowered with a better understanding of the disease and can assess all available options computationally to truly individualize treatment.
We are seeking candidates to investigate how intra- and inter-tumor heterogeneity contribute to patient-to-patient variability in response to therapy. The work will require the ability to integrate multi-omics data (genomic, transcriptomic, and proteomic) with patient phenotype data (age, weight, etc.) with patient-specific, spatially resolved models of tumor biology to understand how patient features work together to confer drug sensitivity or resistance. The work will also require the ability to formulate mathematical models of biological processes that can be simulated in both space and time over the course of tumor treatment. Experience working with heterogeneous data, like single-cell ‘omics, mathematical ecology, and epidemiology is a plus. Above all, ideal candidates should be creative problem-solvers, with a willingness to try a range of approaches to tackle each new challenge.
The position will require you to design and drive projects and work closely with team members to design, simulate, and analyze individual patient tumors using SimBioSys' TumorScope platform. Fostering your analytical, biological, and computational skills, this position will provide you real world experience solving problems, while allowing you to contribute to the fight against cancer.
Requirements and Qualifications
- Ph.D. degree in Systems Biology, Computational Biology, Bio/biomedical engineering, Bioinformatics, or a related field
- Strong computer skills
- Proficient in Python and C++
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team to meet project goals
Desired Qualifications
- Strong background in cancer biology
- Background in ‘Omics (genomics, transcriptomics, etc.)
- Experience working with heterogeneous data, like single-cell ‘omics, mathematical ecology, and epidemiology
- Experience mapping ‘Omics data to patient phenotypes
- Experience in designing, developing, and implementing software
- Strong mathematical and analytical skills