Technology Lead, Senior Manager- Machine Learning/Deep Learning- Scientific Informatics応募 後で応募 求人ID R0012519 掲載日 10/15/2019 Location:Boston, Massachusetts; San Diego, California
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Technology Lead, Senior Manager- Machine Learning/Deep Learning in our Cambridge, MA or San Diego CA 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 an unwavering commitment to deliver Better Health and a Brighter Futureto people around the world.
Here, you will be a vital contributor to our inspiring, bold mission.
For the Takeda global scientific community who aspire to deliver transformative medicines to patients Scientific Informatics is the technology leader, with domain specific expertise, that provides innovative platforms and technologies to improve both operational efficiency and data-driven decision making. As an embedded partner Scientific Informatics is at the leading edge of both science and technology and proactively reacts to the changing scientific environment and needs of researchers in an agile fashion to deliver timely, value-adding solutions.
As a Technology Lead on the Scientific Informatics team, you will be applying artificial intelligence and machine learning in solving real and difficult problems in cheminformatics, bioinformatics and imaging informatics and enable data-driven decision making in drug discovery and development in all modalities and therapeutic focuses.
- Provide thought and technical leadership in applying machine learning approaches in drug discovery and development processes, i.e. target identification, lead identification, lead optimization.
- Work with computational chemists and computational biologists to drive the application of the machine learning models in drug discovery and development projects.
- Provide technical leadership to identify, design, develop and deploy solutions to scientific R&D problems within the product focused R&D organization and contribute to complex product-oriented roadmaps.
- Lead global strategic activities for design and configuration of all technical aspects within scientific data management and use and coordinates alignment with the product organization.
- Building predictive models that effectively use heterogenous multi-modal data to assist scientific decision making, e.g. modeling biological effects of compounds using chemical or biologics structure and functional screening data
- Collaborate with computational scientists at each site to provide technologies and models to support drug discovery and development projects in different therapeutic areas using machine learning techniques (emphasis on deep learning)
- Drive integration of the modeling pipelines into internal data mining platforms together with end-users (chemists, biologists, computational chemists or biologists) and IT support to increase adoption
- Manage and influence technical product development approaches, the use different technologies, patterns and design methods along with modern scripted deployment techniques to rapidly and iteratively deliver on product development and enhancements
- Contribute to and take responsibility for the overall technical strategy & influences operational strategy of the function aligning with associated disciplines both in R&D and IT
- Monitor and manage the implementation of major plans, products and programs within a capability line across R&D disciplines taking a broad perspective to identify innovative solutions.
- Works independently to navigate complex situations with guidance in only the most business critical situations with wider strategic impact. Provides leadership to own discipline and influences other disciplines.
- Builds strong relationships with both R&D and IT functions and employs effective negotiation skills to reach agreement with internal or external parties and act as a point of escalation for complex non-routine problems
EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:
- A minimum of a Bachelor’s or equivalent in Statistics, Computer Science, Data Science, Cheminformatics, Bioinformatics or a related quantitative field
- Six or more years of experience in applied analytics/machine learning/predictive modeling, or equivalent
- Advanced Python and R programming skills
- Experience with Deep Learning machine learning frameworks, like PyTorch, Keras, Tensorflow, etc
- Actively participate in the scientific and technology community to stay current with algorithm, methodology, and state of the art data engineering technologies
- Deep understanding of pharmaceutical R&D scientific processes.
- Strong interpersonal and excellent oral and written communications skills, business acumen with problem solving and analytical skills
- Master or higher Degree in Computer Science, Data Science, Cheminformatics, Bioinformatics or a related quantitative field
- Experience of working with research chemists or biologists in an academic or industrial setting for learning pipeline development
- Experience with the design and development of pharmaceutical life sciences software or solutions.
- Experience with cloud based big data computing 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
Empowering Our People to Shine
Discover more at takedajobs.com
No Phone Calls or Recruiters Please.
San Diego, CA