BayOne Solutions · 3 hours ago
Computational Scientist - Oncology
BayOne Solutions is seeking a Computational Scientist specializing in Oncology to collaborate with scientists and analyze clinical datasets. The role involves developing analytical approaches and synthesizing computational results to provide insights into disease biology.
Responsibilities
Collaborate with scientists in Computational Oncology and Translational Medicine to analyze clinical datasets to address scientific hypotheses and deliver novel insights
Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals
Synthesize complex computational results into clear, actionable insights for internal medical stakeholders and external scientific publications
Thoroughly document code, analysis processes, and findings
Qualification
Required
Experience (3-4 years) in the analysis of large-scale bulk data (RNA, WES), single-cell RNA-seq, ctDNA, clinical, and real-world data including gold-standard methods and novel, advanced analytical techniques such as: Multivariate statistical analyses, Multimodal data integration methods, Predictive/Prognostic analyses including Kaplan–Meier survival analysis
Expertise in the following areas: cancer biology, clinical omics data, with real-world data experience a bonus
Master's or PhD in Computational Biology, Bioinformatics, or a related field
Proficiency in R and shell scripting, with knowledge of Python a bonus
Experience working with Git and high-performance computing
High self-motivation and commitment to delivering high-quality results
Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making independent decisions
Excellent communication skills and experience working as part of a team
Company
BayOne Solutions
BayOne Solutions provides computer programming services.
H1B Sponsorship
BayOne Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (23)
2024 (25)
2023 (20)
2022 (30)
2021 (20)
2020 (37)
Funding
Current Stage
Late StageRecent News
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