Scientist Computational Biology (Biologics)

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Job Description

Objective

The purpose of this position is to deliver on the priorities of Global Biologics research and Biologics Engineering and Antibody Discovery organization by contributing to the discovery, optimization, and engineering of the antibody and CAR-T cells by deep mining repertoire of therapeutic antibodies using NGS to accelerate programs to IND.

Accountabilities:

• Develop and implement robust pipelines for analyzing large-scale bulk and single B-cell sequencing datasets for biologics discovery workflows, including QC, annotation, prioritization, and reporting of heavy and light chain/VHH sequences.
• Improve antibody screening and in silico analysis workflows by implementing standard automated protocols for the antibody curation, annotation, and interpretation of large antibody-specific datasets
• Lead the biologics discovery campaigns using well-designed, and optimized bioinformatics workflows to accelerate therapeutic discovery by analyzing sequencing datasets from various sources, such as immunization and selection campaigns.
• Propose a rationale library design strategy based on the antibody selection output to further affinity mature and optimize biologics.
• Advance antibody sequences from in vitro (yeast and phage),in vivo (single/bulk B cells/VHH) or de novo (AI-based) platforms with the goal to deeply interrogate repertoires, expand functional sequence diversit,y and affinity to accelerate the lead discovery.
• Collaborate with cross-functional teams to integrate sequencing data with other data generated from antibody discovery engine
• Ability to use AWS and HCP infrastructure for additional compute needs
• Use Docker and GitHub for reproducibility of workflow and version control, respectively
• Develop UI to seamlessly integrate flow of sequencing data from various discovery platforms and relevant information
• Meet established timelines, maintain accurate records of work, and present data at team, departmental, and company-wide meetings

Education & Competencies (Technical and Behavioral):

• Education: BS, MS, or PhD in a relevant scientific field
• Experience: If BS, then 11+ years.  If MS, then 9+ years.  If PhD, then 2-3 years of previous work experience
• A strong background in computational biology and scientific programming languages  (R/Python)
• In-depth experience analyzing NGS data, including B-cell receptor and antibody repertoire sequencing data and selection data from antibody surface display
• Deep overall understanding of in vivo and in vitro antibody discovery platforms
• Minimum 2 years of industry experience in hands-on NGS data analysis (RNAseq /scRNAseq) utilizing custom workflows and pipelines.
• Demonstrated ability to write, test, automate, and benchmark computational pipeline tools with a focus towards biologics discovery.
• Experience with AI/ML and deep learning-based methodology is a plus.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

Boston, MA

U.S. Base Salary Range:

$111,800.00 - $175,670.00

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

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.