Scientist, Computational Biology

USA - MA - Cambridge

Takeda

Takeda is a patient-focused, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future.

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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 a Scientist where you will lead the design, development and optimization of bioinformatics systems to support the discovery and design of biologics therapeutics. You will establish novel bioinformatics and machine learning workflows to analyze next-generation sequencing data to advance antibody sequences from in vitro (yeast and phage), in vivo (single/bulk B cells) or de novo (AI based) platforms with the goal to deeply interrogate repertoires, expand functional and sequence diversity and accelerate lead discovery using in silico tools. As part of the Next Generation Sequencing team, you will report to the Associate Director and investigate use of computational tools in other areas in Global Biologics to accelerate workflows and to enhance pipeline support and accelerate programs to IND.

How you will contribute:
  • Develop pipelines to utilize large-scale bulk or single B cell sequencing data, generate library QC, annotate the reads and reports prioritize antibody sequences.
  • Improve antibody screening and in silico analysis workflows by implementing standard automated protocols for the curation, annotation and interpretation of large datasets.
  • Work independently to establish NGS data analysis and library QC workflows.
  • Collaborate with cross-functional teams to integrate sequencing data with other data generated from antibody discovery engine.
  • Establish workflows to analyze NGS datasets in other areas in Global Biologics including cell line generation, plasmid preparation and CAR-T design characterization.
  • Continuously learn to develop better and novel methods for in-silico affinity maturation and antibody discovery based on the NGS datasets.
  • 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 platform and relevant information Based on the data, recommend changes in the library generation processes.
  • Meet established timelines, maintain accurate records of work, and present data at team, departmental and company-wide meeting.
  • Develop and test theories on the physical, chemical, and/or biological properties of materials and ingredients under various conditions.
  • Devise research methods, prepare technical specifications, and specify laboratory test equipment and processes.
  • Make recommendations concerning acquisition and use of new technological equipment and materials.
  • Manage large projects or processes with limited oversight from the manager.
  • Analyze diverse data and select appropriate methods for solutions.

Minimum Requirements/Qualifications:
  • PhD degree in a scientific discipline (or equivalent), or MS with 6+ years relevant experience, or BS with 8+ years relevant experience.
  • A strong background in computational biology and scientific programing languages  (R/Python).
  • In-depth experience analyzing NGS data including B-cell receptor and antibody repertoire sequencing data.
  • Minimum 3 years of industry experience of hands-on NGS data analysis (RNAseq /scRNAseq) utilizing custom workflows and pipelines.
  • Demonstrated ability to write, test and automate and benchmark computational pipeline tools.
  • Experience with AI/ML and deep learning-based methodology is a plus.
  • Advanced proficiency in molecular biology, capable of executing and optimizing complex techniques like gene cloning and advising on research and diagnostic methods.
  • Perform advanced analysis and experiments in cell biology, capable of advising others, and handles highly complex situations independently.
  • Advanced proficiency in immunology, capable of handling highly complex situations, making recommendations for improvements, and guiding others in this field.
  • Advanced proficiency in biotechnology, capable of applying knowledge in highly complex situations and advising others on biological processes for commercial goods production.
  • Advanced proficiency in Ribonucleic Acid Sequencing, capable of tackling highly complex projects and advising others based on a deep understanding of molecular and computational biology techniques involved.
  • Recognized for leadership skills, capable of managing small project teams and mentoring junior staff.
  • Excellent communication skills, able to articulate complex concepts clearly and adapt messaging for various audiences.
  • Demonstrates innovation in research, capable of leading creative ideation processes and making improvement recommendations.
  • Skilled in project management, able to oversee research projects and ensure alignment with organizational goals.
  • Capable of mentoring others in scientific research and project management, fostering skill development among team members.
  • Excels in building and maintaining professional relationships with internal and external stakeholders, ensuring collaborative project success.

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.

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#LI-Onsite

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:

108,500.00 - 170,500.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. 

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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Bioinformatics Biology Data analysis Deep Learning Docker GitHub Machine Learning Pharma PhD Pipelines Privacy Python R R&D Research

Perks/benefits: 401(k) matching Career development Health care Insurance

Regions: Europe North America
Country: United States

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