Posted on Apr 5, 2021 by Takeda Pharmaceuticals
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine?
At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Here, you will be a vital contributor to our inspiring, bold mission.
Support translational bioinformatics needs for key oncology clinical projects, including high-throughput data QC, process, analysis and integration.
Integrate and analyze pre-clinical and clinical, internal and public domain datasets, to generate and evaluate hypotheses for drug combination, new disease indications, and mechanism of action purposes.
Apply state-of-the-art AI/ML methods for clinical biomarker identification and validation.
Drive collaborations with internal groups, external partners, including CROs and academia for data analysis and machine learning.
Support oncology clinical science and translational research teams to achieve translational research and clinical objectives using advanced computational biology techniques.
Interact closely with biologists and clinicians to conduct analyses, data integration and data interpretation.
Identify, build, and use bioinformatic pipelines to process and QC omics data types including genomics, transcriptomics, single cell sequencing, proteomics and metabolomics.
Interpret preclinical and clinical datasets using appropriate computational and statistical methods.
Create visualizations, interpret high dimensional data and explain results to cross-functional teams.
Schedule and execute on tasks to meet deadlines.
Plan and coordinate computational biology activities internally and in partnership with external CROs and academic partners, including complex projects requiring multiple members of the team and organization.
Prepare and present comprehensive scientific reports to a full range of internal and external audiences.
Work collaboratively with data scientists and data engineering groups to enhance our computational infrastructure, user interface, query and visualization capabilities.
Writes study reports and presents data effectively in all settings and with participants of all levels of the organization.
DIMENSIONS AND ASPECTS
Strong background with high dimensional data analysis derived from Next Generation Sequencing, including some of the following: RNASeq, DNASeq, epigenetics, and single cell sequencing.
Knowledge of and experience with machine learning and bioinformatic techniques.
Hands-on experience developing and implementing bioinformatic pipelines for data analysis on RNASeq, DNASeq, single cell datasets, and metabolomics data.
Solid knowledge of Unix/Linux, command line interfaces, and fluency in some common Scripting and/or programming language (eg, R, Python, Perl, Java, C/C++).
Familiarity with parallel computing, relational databases (eg, SQL) and cloud computing or distributed computing (ie AWS)
Theoretical knowledge of bioinformatics, computational biology; keeps current with emerging trends in bioinformatics and computational biology
Familiarity with popular public domain data sources and programmatic interfaces
Experience in designing and conducting computational biology activities to meet program objectives; able to provide input on timelines and resource needs as indicated
Able to evaluate/develop computational methods based on project needs
Basic knowledge of biomedical science and technologies outside specific discipline
Strong scientific understanding of molecular biology and genomics
Excellent problem solving, communication, presentation, and interpersonal skills
Independent, self-starting and supportive of team-based research and able to work effectively in a Matrix organization
Ability to work in a team and influence team to make data driven decisions
Decision-making and Autonomy
Independently manages own workload
Ability to search literature and come up with innovative solution to difficult problems
Conducts scientific presentations to internal audiences
Receives high level instructions on all work, determines methods on new assignments, works closely with manager, may manage junior staff
Determines methods on new assignments; perform literature search as needed to propose innovation solutions
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
PhD degree in a scientific discipline, with 4+ years experience, or
MS with 8+ years experience, or
WHAT TAKEDA CAN OFFER YOU:
401(k) with company match and Annual Retirement Contribution Plan
Tuition reimbursement Company match of charitable contributions
Health & Wellness programs including onsite flu shots and health screenings
Generous time off for vacation and the option to purchase additional vacation days
Community Outreach Programs
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