Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Scientist I/Computational Biology 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 Future
to people around the world.
Here, you will be a vital contributor to our inspiring, bold mission OBJECTIVES/PURPOSE
- Analyzing and interpreting high dimensional molecular data for the development of GI Therapeutics
- Identifying and developing sophisticated computational biology approaches to identify targets and provide translational medicine hypotheses.
- Generate data insights to drive GI projects, Interface with research teams and support the data analysis and interpretation needs of GI projects
- Drive collaborations with internal groups, external partners, including CROs and academia for data analysis and machine learning.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS
- Support GI discovery teams to identify novel drug targets and achieve translational medicine objectives using sophisticated computational biology techniques.
- Interact closely with biologists in the GI DDU to design experimental studies, plan analyses, data integration and data interpretation.
- Identify, build, and use bioinformatic pipelines to process and QC other omics data types including genomics, transcriptomics, single cell sequencing.
- Interpret preclinical and clinical datasets using appropriate statistical methods.
- Create visualizations, interpret high dimensional data and explain results to cross-functional teams.
- Perform integrative analyses with multi-omics datasets, identifying novel targets and achieving translational medicine goals.
- 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 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.
- Process, QC and analyze microbiome datasets (16S and shotgun metagenomics)
WHAT TAKEDA CAN OFFER YOU:
- PhD degree with Post Doc experience, or equivalent.
- Bachelors degree in a scientific discipline, or equivalent with 10+ years experience,
- or Master's degree in a scientific discipline, or equivalent with 7 + years experience
- Knowledge of and experience with machine learning and bioinformatic techniques.
- Experience with high dimensional data analysis derived from Next Generation Sequencing, including some of the following: microbiome data, RNASeq, DNASeq, miRNA, copy number, epigenetics, and single cell sequencing
- Hands-on experience developing and implementing bioinformatic pipelines for Omics datasets.
- 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 with group and program leadership for assigned programs to help design and direct computational biology activities to meet program objectives; able to provide input on timelines and resource needs as indicated
- In-depth knowledge of currently assigned computational methods
- Basic knowledge of science/technology 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
Empowering Our People to Shine
- 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
Discover more at takedajobs.com
No Phone Calls or Recruiters Please.Locations
Boston, MAWorker Type