BostonGene has extensive experience in Heme cancers including B-cell lymphoma (DLBCL, FL, MCL), T-cell lymphoma, Multiple Myeloma, and Myeloid cancers. We focus on the lymph node microenvironment and its role in tumor progression and response to therapies including CAR-T. BostonGene has an extensive research portfolio including PMIDs: 32289277, 33541860, 33237303, 34267181, 36928817, 35687817, 36796016, and 34479963.

The position is open in the R&D Bioinformatics team, focused on research and clinical projects dedicated to blood and lymph tumors.

Level: Middle

Job description:

• Participate in external projects on different cancer subjects, including QC, data processing and analysis, presentation of results at internal and external meetings, iterative modification, and supplementation of analysis.
• Participate in the research on oncogenesis and tumor properties, aimed to discover personalized biomarkers of therapeutic efficacy, and preparation of related publications.
• Data processing, analysis, and visualization mostly use preexisting pipelines and proprietary BostonGene infrastructure/libraries/Jupyter notebooks. The main programming language is Python; occasionally R and Bash will be used. Most frequently, WES/WGS analysis will include mutations, mutation signatures, CNAs, fusions/translocations, RNAseq-gene signatures, expression-based classifiers, and differential expression.
• Develop and incorporate new code into internal BostonGene libraries.
• Participate in the development and maintenance of an internal database of collected NGS cohorts.
• Gain knowledge in the related subject of cancer, programming, and data analysis, including internal databases.
• The primary focus of the participant will be concentrated on lymphomas.

• Knowledge of fundamentals of immunology/cell biology.
• Previous experience in cancer bioinformatics is preferred.
• Experience working with next-generation sequencing data.
• Experience with scientific literature and database search and analysis.
• English language sufficient for reading and understanding of scientific articles.
• Background in experimental work in biochemistry/molecular biology is a plus.
• Experience with Python (pandas+matplotlib) and/or R, statistics analysis.

Salary level to be discussed individually

• The office is located in Yerevan, the company supports relocation.
• Relocation for candidates (and their immediate family members) to Armenia is a must.
• Complete documentation and bureaucracy support on-site (bank accounts, residence permit, school contacts, etc.).
• Full-time position, permanent contract, flexible working hours, hybrid work.
• The office is located in Yerevan, within a 1-minute walk from the metro, and on-site snacks.
• Competitive salary.
• Healthcare insurance, corporate plans for English language lessons, Armenian language lessons, and gym.
• Versatile professional environment: bioinformatics, biologists, physicians, and software developers who united to save people’s lives.