з/п не указана
Москва
улица Грачья Кочара 2А
улица Грачья Кочара 2А
От 3 до 6 лет
Job summary
BostonGene is seeking a Senior NGS Bioinformatics Scientist to lead complex oncology-focused next-generation sequencing and multiomics analyses. This role requires deep expertise in bioinformatics workflows, molecular oncology, and regulatory-compliant reporting. This role carries scientific ownership and decision-making authority in multi-omics oncology studies.
The ideal candidate for this role will have one of these profiles:
- Academia NGS Bioinformatics Expert: Strong expertise in oncology-focused DNA & RNA NGS analysis is required. Experience in research-driven multi-omics studies with additional proficiency in at least one advanced modality (e.g., scRNA-seq, MxIF, H&E, proteomics, TCR/BCR, methylation). Proven track record of peer-reviewed publications and ability to independently drive projects from hypothesis generation to publication is highly desirable.
- Industrial NGS Bioinformatics Expert: Strong expertise in production-grade NGS workflow design and validation (WGS/WES, RNA-seq) is required, combined with solid experience in statistical analysis and clinical-grade interpretation of results (e.g., survival analysis, biomarker evaluation, QC metric assessment). Familiarity with regulatory-compliant bioinformatics reporting and data integrity standards (GCLP/CAP) is highly desirable.
Responsibilities
Own the full scientific lifecycle of complex oncology studies: clarify scope with internal collaborators, formulate analytical hypotheses, design study plans, define QC expectations, and deliver scientifically rigorous, publication-ready results.
Participate in and lead collaborations with external academic and clinical institutions across the United States; contribute to study design discussions, methodological decisions, and interpretation of results.
Lead integrative analysis of multi-omics data (WGS/WES, RNA-seq, scRNA-seq, TCR/BCR, methylation and related modalities), ensuring robust biological interpretation and statistical validity.
Collaborate closely with internal Pipeline Development and Engineering teams: prepare structured analytical specifications, submit workflow requests, review intermediate outputs, validate results, and ensure alignment with scientific objectives.
Critically evaluate new bioinformatics tools, algorithms, and published methodologies; benchmark and adapt promising approaches for internal and client-facing projects. Drive scientific innovation by integrating emerging analytical strategies into ongoing studies.
Represent the department externally: prepare scientific documentation, conference abstracts, and manuscript-ready materials; contribute to publication strategy when applicable, support business-development meetings. Participate in external meetings as a speaker and company representative.
Ensure analytical rigor, reproducibility, and proper documentation in alignment with internal quality and regulatory standards (GCLP/CAP).
Contribute to cross-departmental scientific discussions and continuous improvement of analytical best practices.
Participate in team operations by establishing and optimizing internal processes to ensure efficient project execution and high analytical standards. Delegate tasks appropriately, mentor team members, and provide structured feedback. Review analytical outputs, documentation, and presentation materials to ensure scientific rigor, clarity, and timely delivery.
Qualifications
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M.Sc. or PhD in Bioinformatics, Data Science, Computer Science, Computational Biology, Biostatistics, or a related discipline.
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3+ years of hands-on experience in NGS and multi-omics data analysis, with at least 1 year of experience managing analytical projects or coordinating cross-functional studies.
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Participation in 3+ peer-reviewed publications involving NGS or multi-omics data is a strong plus.
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Strong understanding of molecular biology and oncology, including tumor biology and heterogeneity, with the ability to translate genomic findings into clinically meaningful hypotheses and biomarker strategies.
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Solid foundation in advanced statistical methods, including hypothesis testing (p-values, multiple testing correction), regression models, survival analysis, and basic machine learning approaches (e.g., regularized regression, tree-based models, cross-validation, feature selection), and prevention of data leakage in clinical datasets. Experience with deep learning approaches is a plus.
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Familiarity with GCLP/CAP guidelines for bioinformatics reporting, data traceability, and integrity standards.
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Strong proficiency in Python and R; basic Bash skills. Confident user of standard NGS tools (e.g., bwa-mem, Strelka, Sequenza, STAR/STAR-Fusion, etc.).
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Practical experience with Git-based version control. Experience with Docker/Singularity and workflow managers (CWL/Snakemake) is a plus.
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Ability to design, execute, and scientifically validate multi-omics workflows; interpret alignment, variant-calling, and expression QC metrics; ensure reproducibility, consistency, and biological interpretability of results.
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English level B2 or higher: capable of writing manuscripts, preparing scientific and technical documentation, negotiating timelines, and presenting to international audiences.
Skills and Abilities
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Leadership & Team:
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Ability to mentor junior and mid-level bioinformaticians, provide structured scientific feedback, and elevate overall team expertise.
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Act as an active and engaged team member: proactively support colleagues, contribute to knowledge sharing, and strengthen analytical standards across the team and participate in continuous improvement of team processes
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Scientific & Analytical Thinking:
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Ability to define and guide scientific analysis strategy, design statistically sound studies, operate effectively under ambiguity, and confidently justify methodological decisions before scientific and clinical stakeholders.
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Translate complex genomic and multi-omics findings into clinically meaningful insights, supporting biomarker hypotheses and translational research objectives.
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Evaluate emerging tools and analytical frameworks; benchmark and integrate validated methods into ongoing projects.
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Anticipate and proactively mitigate analytical risks, including data quality issues, cohort imbalance, batch effects, and statistical overfitting.
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Collaboration & Execution:
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Prepare SoWs and change requests; resolve scope, expectation, or timeline discrepancies.
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Maintain high standards of analytical rigor, reproducibility, and documentation in regulated (GCLP) and collaborative environments.
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Balance scientific depth with delivery timelines; manage scope appropriately while preserving analytical rigor. Experience delivering results in regulated, deadline-driven environments is highly desirable.
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Communicate complex bioinformatics methodologies to clinicians, external collaborators, business stakeholders and principal investigators; represent the team with scientific authority.
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Effectively collaborate cross-teams: formulate clear analytical specifications, validate delivered outputs, and ensure alignment with scientific intent.
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We offer:
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Full-time position with a permanent contract and flexible working hours, with hybrid work options.
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Competitive salary and comprehensive healthcare insurance.
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Convenient office location in Yerevan (1-minute walk from the metro) with on-site snacks.
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Relocation package for candidates and their immediate family members, including full documentation and bureaucracy support (bank accounts, residence permits, school contacts, etc.).
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Corporate benefits, including English language lessons and gym membership.
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Dynamic and versatile professional environment with a diverse team of bioinformaticians, biologists, physicians, and software developers committed to improving oncological healthcare.
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Careful, structured, and responsible supervision to support professional growth.
