- Applies computational methods to obtain, integrate, visualize and interpret data resulting from high dimensional datasets including DNA/RNA sequencing, single-cell sequencing, proteomics, and immune biomarkers resulting from public sources, preclinical studies, and Takeda clinical trials.
- Establishes a collaborative and influential role within biology-oriented project teams by working through the spectrum of experimental study design, assay selection, analysis, data integration, and data interpretation.
- Performs integrative analyses to deduce, summarize and communicate results contributing to the understanding of drug indication, mechanism of action, identification of response predictors and translational biomarkers.
- Works collaboratively with data scientists and data engineering groups to enhance their computational infrastructure, user interface, query and visualization capabilities.
- Takeda has academic and industrial relationships with Japanese Research investigators and projects. This position will likely interact with those investigators and proficiency with the Japanese language is preferred.
- Initiates investigation of new experimental approaches enabling translational understanding of their molecules.
- Prepares and presents comprehensive technical or project reports and formal presentations to a full range of internal and external audiences.
- Contributes to more complex projects requiring multiple members of the team and organization.
Technical/Functional (Line) Expertise
- Have excellent communication, presentation, and interpersonal skills.
- Prior experience with oncology or immunology is preferred.
- Demonstrate independent, self-starting and supportive of team-based research and able to work effectively in a matrix organization.
- Have a strong scientific understanding of molecular biology and genomics.
- Be experienced with genome-scale or big data analysis derived from Next Generation Sequencing including; exome, RNA-SEQ, miRNA, copy number, epigenetics, and single-cell sequencing.
- Keeps current with emerging trends in bioinformatics and computational biology.
- Theoretical knowledge of bioinformatics, computational biology, computer science, and mathematics.
- Familiarity with popular public domain data sources and programmatic interfaces.
- Experience in algorithm generation and/or computational method implementation.
- Have solid knowledge of Unix/Linux, command-line interfaces, distributed computing, and fluency in some common scripting and/or programming language (e.g., bash, R, Python, Perl, Java, C / C++).
- Have strong knowledge in statistical software and language (e.g., R, SAS, Matlab).
- Be familiar with parallel computing, relational databases (e.g., SQL) and Amazon Web Services.
- Works with OTG leadership and program leadership for assigned programs to help design and direct computational biology activities to meet program objectives; provide input on timelines and resource needs as indicated
- Ability to help execute on defined portfolio strategy within individual programs this candidate is supporting and to communicate with leadership (program level and DDU level) as needed.
Decision-making and Autonomy
- Independently manages own workflow
- Scientifically Independent
- Conducts scientific presentations to internal audiences and to external partnerships as indicated by projects and working with program leadership
- Determines computation methods on assigned programs. Works with OTG leadership and manager to help ensure innovation from an assigned program can be effectively communicated with other computation biologists.
Education, Behavioral Competencies And Skills
- Ph.D. degree in a scientific discipline, or
- M.S. with 6+ years of experience, or B.S. with 8+ years of experience.
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1