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Cellular Biologist

Employer
Takeda Pharmaceutical
Location
Cambridge, Massachusetts, US
Salary
Competitive
Closing date
Oct 22, 2021

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Sector
Academic / Research
Field
Informatics / GIS
Discipline
Modeling
Salary Type
Salary
Employment Type
Full time
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Job Description

Are you looking for a patient-focused, innovative-driven company that will inspire you and support your career development? If so, be empowered to take charge of your future at Takeda. Join us as a Scientist leading Product-centric bioinformatic approaches in Cell Therapies at our Cambridge 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 a wavering 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 in Cell Therapies.

You will have the opportunity to apply your knowledge and partner with industry-leading professionals in drug discovery, R&D, translational medicine, process development, manufacturing, engineering and automation as you engage in cutting-edge therapeutic programs. The successful candidate will have extensive experience in pharmaceutical manufacturing of biotechnology product development and bioinformatic approaches to evaluate high-dimensional datasets using best practices in statistical data analyses that drive scientific and engineering insights to inform platform-program strategies.

POSITION OBJECTIVES:

The Cell Therapy Technology and Product Engine teams are pursuing several programs in human clinical studies, in addition to management of Takeda's commercial cell therapy assets. This position's primary role is to provide hands-on support of bioinformatic approaches and statistical guidance in bringing these therapies to patients, with a focus on maturation of research manufacturing process and methodology into Development and GMP including integrated model development for cell therapies product-centric data. In this role you will contribute to Takeda's Cell Therapies platform-program strategies by coherent and compliant integration of data science principles and processes, working cross-functionally with late-stage discovery, development, manufacturing, data sciences, and in silico modeling teams.

POSITION ACCOUNTABILITIES:
  • Execute integrated bioinformatic approaches across process / analytical development, manufacturing, automation, product quality and advanced analytics within the Cell Therapies platform portfolio.
  • Develop computational and statistical frameworks for integrated data mining, processing and analyses to support pipeline optimization of complex datasets, e.g., RNA-seq, scRNAseq, TCR sequencing, Luminex, MSD.
  • Evaluate novel algorithms and approaches for multivariate data analyses, visualization and exploration in collaboration with academic partners and/or external associates.
  • Support laboratory staff in the selection, design, and implementation of novel methods - including NGS technologies - with emphasis on automation, high-throughput technologies, and engineered improvements driving discovery and development.
  • Integrate and interpret high-dimensional data from a variety of high-throughput platforms and multidimensional data sources (internal or external collaborators) to derive insights and data-driven program strategies.
  • Work cross-functionally to ensure a collaborative work environment with colleagues in Research, Analytical and Process Development, Automation and Engineering, Quality and Manufacturing, and Data Integration teams at domestic and international sites.
  • Actively communicate with scientists, analytical and process development leads, manufacturing, non-clinical and clinical teams to support product comparability during Development and GMP to cover analytical comparability, pre-clinical comparability and clinical comparability.
  • Perform exploratory data analyses, static and dynamic data visualizations to communicate quantitative results enabling data-driven platform decisions.


EDUCATION, EXPERIENCE, AND SKILLS:
  • PhD - or MS with 3+ years of work experience, or BS with 6+ years of relevant experience - in Engineering, Computer Science, Data Analytics, Bioinformatics, or a related field and/or experience in systems engineering
  • Strong analytical and problem-solving skills
  • Knowledge of high-level computing languages: R, C/C++, Java, Python, Perl, and willingness to learn other(s)
  • Strong knowledge in statistical software and language ( e.g., R, SAS, MATLAB)
  • Knowledge of QbD/CPV (continued process verification) preferred; automation and MES knowledge desirable
  • Knowledge of and experience in applying Six Sigma and Lean methodologies
  • Strong career history in pharma and familiarity in a highly regulated environment ( e.g., GLP- and GMP-compliant)
  • Familiar with distributed computing, database ( e.g., SQL), and Amazon Web Services. Database programming or dashboard experience is a plus.
  • Demonstrate experience and willingness to utilize state-of-the-art bioinformatic tools for genome-scale or big data derived from Next Generation Sequencing including DNA, RNA, Epigenetics, and Single Cell sequencing platforms and assays.
  • Proficient in applying concepts in descriptive and multivariate statistics; Artificial Intelligence and Machine Learning knowledge and application is a plus. Evaluation of (non)clinical datasets in cell therapies preferred.
  • Experience in data integration, algorithm development, programming, and evaluation of analytical tools
  • Self-motivation and excellent time management skills
  • Excellent written and verbal communication, organizational skills, and be a strong team player.
  • Ability to drive initiatives, decisive decision-maker with proven ability to deliver excellence, and excel in a matrix environment


Effective November 1, 2021, absent an approved religious or medical reason, all US office-based and lab-based Takeda employees who work fully on-site or in a hybrid model (as determined by Takeda) must be fully vaccinated to work at a Takeda site or to engage with Takeda colleagues or anyone else on behalf of Takeda. As of the same date, absent an approved religious or medical reason, US field-based employees, employees must be fully vaccinated in order to continue in their current roles. US employees who work at a Takeda manufacturing facility, and those who work at a BioLife center or BioLife lab, may be subject to different guidelines. Candidates are encouraged to speak with their recruiter to seek further information on the applicable guidelines for the Business Unit/Function for which they have applied.

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

Discover more at takedajobs.com

No Phone Calls or Recruiters Please.

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This job posting excludes CO applicants.

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

Cambridge, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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