Senior Scientist II, Systems Biology
: Job Details :


Senior Scientist II, Systems Biology

AbbVie

Location: Worcester,MA, USA

Date: 2024-12-09T08:49:21Z

Job Description:

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

A senior scientist position is available within the Cell Culture Process Development group in PDS&T Biologics at AbbVie Bioresearch Center in Worcester, MA. The group is responsible for developing and supporting cell culture manufacturing processes for early and late phase clinical programs. We strive for speedy delivery of quality processes that are high yield, amenable to efficient manufacturing operations, robust and provide desirable product quality attributes. The group interacts closely with other development groups and along with Manufacturing and Discovery.

The selected candidate will be involved in wet-lab experimentation and modeling for process development, process characterization, tech transfer and scale-up. The candidate will have a major role in aspects of metabolic modeling and characterization, supporting cell culture media development and process optimization. We are seeking an enthusiastic, creative scientist that can work independently and as part of a dynamic team environment.

Key Responsibilities:

* Develop multimodal approaches combining multi-omic and experimental data to identify novel process optimization strategies.

* Actively conceive and execute wet-lab experiments to identify biomarkers and enable the use of toolboxes.

* Serve as a subject matter expert in projects requiring metabolic flux analysis and multi-omics.

* Develop and characterize highly-productive CHO cell culture processes suitable for cGMP biotherapeutic manufacturing within project timelines, performing technical transfer and manufacturing support activities.

* Conceive and execute scientific research and development to significantly improve platform processes and workflows, develop new methods, build technical expertise and intellectual property, and deepen scientific understanding.

* Work collaboratively and cross-functionally with colleagues in other functional areas (Analytical Development, Cell Line Development, Discovery, Manufacturing and Quality).

* Serve as a mentor to junior scientists.

* Proactively seek out new information and opportunities to advance our technologies and pipeline. Critically evaluate relevant scientific, regulatory and business advances and integrate this knowledge.

* Effectively communicate scientific data and concepts to internal and external audiences through reports, presentations and manuscripts. Author and review technical reports, protocols, and other key documents.

* Understand and adhere to corporate standards regarding code of conduct, safety, documentation and GMP compliance.

Qualifications

* PhD in biochemical/chemical engineering, systems biology or computational biology, applied biotechnology with 4+ years of industrial experience; or M.S. in biochemical/chemical engineering or life sciences related disciplines with 10+ years of industrial experience

* Excellent interpersonal and communication skills. Strong scientific curiosity with a passion for problem-solving and optimization. Self-motivated with excellent attention to detail and ability to multi-task. Strong organizational, planning and trouble-shooting skills.

* Understanding of cell culture processes (e.g., cell and molecular biology, process development, process scale up and scale down, recombinant protein production, protein characterization).

* Proven experience working aseptically in cell culture processes.

* Proven experience in computational analysis and application of hybrid models.

* Experience in statistical data analysis tools such as design of experiment, regression, multivariate data analysis and linear/non-linear mixed effects modeling.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

* The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

* We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

* This job is eligible to participate in our short-term incentive programs.

* This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status

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