Job Location: San Diego, CA
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
About the role:
At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.
Join Takeda as an Associate Director, Machine Learning where you will be part of a computational team focused on developing and utilizing computational and systems biology approaches to support Takeda drug discovery and development projects. The goal is to apply Machine Learning/Deep Learning expertise to develop novel deep learning approaches to explore, explain and predict diverse drug candidate immunogenicity, toxicity, metabolism and bio-distribution in support of preclinical and translational sciences.
You will work closely with colleagues from preclinical and translational science organization, including Drug Metabolism & Pharmacokinetics, Drug Safety Research & Evaluation, Genetics and Systems Biology, Quantitative Solutions, and Clinical Biomarker Innovation & Development.
As part of the Genetics and Systems Biology you will report to the Global Head, Genetics and Systems Biology and work with a variety of therapeuadic areas.
How you will contribute:
- Evaluate, develop and implement advanced machine learning and deep learning methods. Architect new systems to embody these novel algorithms.
- Create visualizations, interpret machine learning models and associated high dimensional data and explain results to cross-functional teams.
- Plan and coordinate machine learning and computer engineering activities, including pipeline building to support human genetics and computational biology, internally and in partnership with external CROs and academic partners, including complex projects requiring collaboration with multiple members of the team and organizations.
- 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.
Minimum Requirements/Qualifications:
- PhD degree in a scientific discipline with 7 years’ experience , or MS with 13 years’ experience, or BS with 15 years’ experience
- Deep expertise and solid experience in machine learning and deep learning methods.
- Software engineering expertise (UNIX/Linux; C/C++, Java, Python/Perl, R, …) and experience with prototyping and architecting software solutions, pipeline building, parallel computing, GPUs, relational and novel database architectures, cloud computing and distributed computing. Familiarity with quantum computing.
- Experience with protein structural bioinformatics, omics data analyses and data integration.
- Experience using public domain human omics databases and experience developing and implementing bioinformatic pipelines for data analysis of RNASeq, sc/snRNAseq, spatial transcriptomics, DNASeq, and proteomics data.
- Theoretical knowledge of bioinformatics, computational biology and human genetics; keeps current with emerging trends in bioinformatics and computational biology.
- Familiarity with Natural Language Processing
- Familiarity with popular public domain data sources and programmatic interfaces.
- Experience in designing and conducting machine learning activities to meet program objectives; able to provide input on timelines and resource needs as indicated.
- Able to evaluate/develop computational and machine learning methods based on project needs.
- Independent, self-starting and supportive of team-based research and able to work effectively in a matrix organization.
What Takeda can offer you:
- Comprehensive Healthcare: Medical, Dental, and Vision
- Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
- 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 and company match of charitable contributions
- Family Planning Support
- Flexible Work Paths
- Tuition reimbursement
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
In accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.
#RM-LI
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
San Diego, CA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Submit CV To All Data Science Job Consultants Across United States For Free
