Sr Scientist, Advanced Analytics and Bioinformatics
Organisation Name: Takeda Pharmaceuticals
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Job Description:
Are you looking for a patient-focused, innovative-driven company that will inspire you and support your career development? If so, be empowered to take charge of your future at Takeda. Join us as a Sr. Scientist in Advanced Analytics and Bioinformatics for Next-Generation Sequencing (NGS) technologies in cancer genomics and include tumor DNA and RNA sequencing (bulk and single cell), TCR sequencing, and viral sequencing specifically in single-cell genomics and proteomics at our Cambridge, MA office. 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 a wavering 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 in Cell Therapies. You will have the opportunity to apply your knowledge and partner with industry-leading professionals in oncology, drug discovery, quantitative systems pharmacology, engineering, analytical and process development as you engage in cutting-edge therapeutic programs. The successful candidate will have extensive experience working with high-dimensional datasets using best practices in statistical data analyses to provide scientific insights and inform translational strategies. POSITION OBJECTIVES: The Cell Therapy Pharmaceutical Sciences team is pursuing several programs in clinical studies, in addition to managing Takeda’s commercial cell therapy assets. This candidate’s primary role will be to develop and deploy NGS analyses pipelines, end user visualization, statistical analyses, and automation to support cutting-edge research in cancer, immune profiling, cell therapy, and stem cell biology. In this role you will contribute to Takeda’s Cell Therapy platform strategies, working cross-functionally with discovery and development, translational sciences, analytical and process development, pharmacology, and data sciences teams. POSITION ACCOUNTABILITIES: Develop, test, deploy, automate, and support NGS analysis pipelines, Approaches cover the broad spectrum of NGS technologies in cancer genomics and include tumor DNA and RNA sequencing (bulk and single cell), TCR sequencing, and viral sequencing specifically in single-cell genomics and proteomics. Evaluate novel algorithms and approaches for data analysis, visualization and exploration in collaboration with academic partners and/or external associates. Develop end user applications that support visualization and statistical analyses Integrate and interpret high-dimensional data from a variety of high-throughput platforms and multidimensional data sources (internal or public) to derive insights and data-driven program strategies. Deploy computationally efficient cloud-based technologies to maximize pipeline efficiency. Troubleshoot problems, address issues, and answer questions from internal users, collaborators, and customers Work cross-functionally among R&D teams, workstreams, and programs to provide statistical support and expertise across the Cell Therapy portfolio. Perform exploratory data analyses, static and dynamic data visualizations to communicate quantitative results enabling data-driven program decisions. Provide computational biology and/or bioinformatic support to characterize disease mechanisms, mechanism of action for therapeutic interventions, and identify clinical biomarkers. Actively communicate with nonclinical leads, scientists, analytical, and clinical teams to inform data analyses, data engineering, and machine learning that drives drug discovery and development. EDUCATION, EXPERIENCE, AND SKILLS: PhD with 5 – 7 years of industry or relevant experience, or MS with 8 – 10 years of relevant experience in Bioinformatics, Computational Biology, Computer Science, Engineering, or a related field and/or experience in systems biology Strong analytical and problem-solving skills Experience implementing NGS data analysis pipelines preferably in a production context Demonstrate experience and use of state-of-the-art bioinformatic tools for genome-scale or big data derived from Next Generation Sequencing including: DNA, RNA, Epigenetics, and Single Cell sequencing platforms and assays Knowledge of high-level computing languages: R, C/C++, Python, Java, Perl, and willingness to learn other(s) Strong knowledge in statistical software and language (e.g., R, SAS, MATLAB) Experience with distributed computing, database (e.g., SQL) or relational databases (e.g., PostgreSQL), and Amazon Web Services. Database programming or dashboard experience is a plus Experience with any of the following: Agile software development, Seven Bridges, Arvados, Git, React Proficient in applying concepts in descriptive and multivariate statistics; Artificial Intelligence and Machine Learning knowledge and application is a plus. Experience in data integration, algorithm development, programming, and evaluation of analytical tools Self-motivated and detail-oriented, with excellent interpersonal and time management skills Excellent written and verbal communication, organizational skills, and a strong team player Ability to drive initiatives, decisive decision-maker with proven ability to deliver excellence, and excel in a matrix environment 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
