Scientist I RNA Computational Biology at Takeda California, Inc. in San Diego, California

Job Description:

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Job Description

Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Join us as a Scientist I RNA Computational Biology.

Here everyone matters and you will be a vital contributor to our inspiring, bold mission.  As a Scientist working on the Computational Biology team, you will be empowered to take initiative and perform computational and statistical analysis of human genetics data sets.

OBJECTIVES:

• Analyzing and interpreting high dimensional molecular data for the development of RNA Therapeutics


• Identifying and developing advanced computational biology approaches to develop RNA-targeting drugs and provide translational medicine hypotheses.

• Generate data insights to drive RNA-targeting projects; interface with research teams and support the data analysis and interpretation needs of RNA-targeting projects


• Drive collaborations with internal groups, external partners, including CROs and academia for data analysis and machine learning.

ACCOUNTABILITIES:

• Support RNA therapeutic teams to identify and validate novel drug targets and achieve translational medicine objectives using advanced computational biology techniques.


• Interact closely with biologists in the DDS/DDU to design experimental studies, plan analyses, data integration and data interpretation.


• In silico design of RNA-targeting drugs based on RNA structure and/or sequence


• Identify, build, and use computational pipelines to design and screen oligonucleotide-target RNA interactions as well as functional impact in diseases


• Identify, build, and use computational pipelines to model and screen RNA-ligand interactions as well as functional impact in diseases .


• Interpret preclinical and clinical datasets using appropriate statistical methods.


• Create visualizations, interpret high dimensional data and explain results to cross-functional teams.


• Perform integrative modeling with multiple types of experimental datasets, including chemical probing, CryoEM, SAXS, etc.


• Develop machine learning algorithms, including deep neural network algorithms.


• Independently conduct data analysis tasks within a project scope, exercising judgement to evaluate a variety of statistical factors.


• Independently keep abreast of current literature in computational biology for drug development.


• Schedule and execute on tasks to meet deadlines.


• Maintain and share code.


• 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

Technical/Functional (Line) Expertise

• Knowledge of and experience with machine learning and bioinformatic techniques.


• Experience with RNA structure modeling with experimental data derived from some of the following: SHAPE-Seq, LASER probing, CryoEM, SAXS, and NMR


• Statistical modeling and machine learning to extract features or rules describing RNA-ligand interactions


• Statistical modeling and machine learning to extract features or rules describing RNA-RNA and RNA-protein interactions


• Hands-on experience developing and implementing bioinformatic pipelines forRNA-ligand interaction screening as well as databases for RNA-ligand interaction fingerprints .


• Solid knowledge of Unix/Linux, command line interfaces, and fluency in some common scripting and/or programming language (e.g., R, Python, Perl, Java, C / C++).


• Familiarity with parallel computing, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e. AWS)


• Familiarity with Tensorflow/Keras or equivalent deep learning language


• 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


• In-depth knowledge of currently computational methods


• 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

Leadership

• Ability to work in a team and influence team to make data driven decisions

Decision-making and Autonomy

• Independently manages own workload


• Scientifically independent


• Ability to search literature and come up with innovative solution to difficult problems

Interaction

• Conducts scientific presentations to internal audiences

Innovation

• 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, EXPERIENCE, KNOWLEDGE AND SKILLS: 

• PhD degree in a scientific discipline, or


• MS with 6+ years experience, or


• BS with 8+ years experience

PHYSICAL DEMANDS: 

• Carrying, handling and reaching for objects up to 25 lbs.


• Able to work in a lab environment

TRAVEL REQUIREMENTS:

• Up to 5% travel may be required.

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

Learn more at takedajobs.com.

Takeda is an EEO employer of minorities, women, disabled, protected veterans, and considers qualified applicants with criminal histories in accordance with applicable laws. For more information, visit http://www.takeda.us/careers/EEO_Policy_Statement.aspx

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