AbbVie
Senior Scientist I - BDL Modeling
Worcester, MA, United States · Senior
Sponsorship not specifiedDetected 11 hours ago
Data ScienceProcess ImprovementCFDCell CultureResearchLeadershipCommunicationProblem SolvingMentoringPublic SpeakingGxP
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odds of building a lasting career here
38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 38 green-card filings in this occupation, 97% were for a worker who already held the job.
Green-card follow-through: 59%
Of 22 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 480 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
DOL often reclassifies their job titles
The Department of Labor assigned a different occupation than this employer requested on 44% of its 55 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.
Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The Senior Scientist I will be part of a centralized modeling team supporting the development and implementation of a broad range of models across early- and late-stage bioprocess development for diverse biologic modalities, including monoclonal antibodies, antibody-drug conjugates, bispecifics, and gene therapies.
- Working collaboratively across functions, the scientist will develop and apply innovative modeling and experimental approaches to address scientific and process development challenges, including scale-up and technology transfer.
- The team's mission is to continually build next-generation modeling capabilities through deep integration with artificial intelligence (AI) tools, delivering business impact with agility.
Responsibilities
- Independently conceptualize, build, and apply fit-for-purpose models for upstream cell culture and downstream purification processes across early- and late-stage bioprocess development.
- Translate scientific and business challenges into modeling strategies that deepen process understanding, guide process optimization, and support scale-up and technology transfer.
- Advance next-generation modeling capabilities through deep integration with AI tools to accelerate model development and implementation and deliver business impact with agility.
- Work closely with the Automation and Digitalization team to establish data workflows and integrated tools that enable efficient model building and implementation.
- Collaborate in an agile, fast-paced matrix team spanning IT, Data Science, CMC, and Development to align priorities, adapt to evolving needs, and deliver modeling solutions; provide scientific mentorship and technical guidance as appropriate.
- Communicate modeling approaches, results, limitations, and recommendations clearly and efficiently to project teams and leadership to support timely, informed decisions.
- Serve as a primary author of modeling-related technical and regulatory documents, peer-reviewed publications, and scientific presentations, and contribute to patentable innovations as appropriate.
Requirements
- Familiarity with AI tool development and experience integrating AI tools into the bioprocess development ecosystem.
- Must have a "results-oriented" work ethic and a positive "can-do" attitude with a strong sense of urgency and self-motivated desire to achieve.
Nice to have
- Experience in both upstream cell culture and downstream purification process development is preferred.
- Demonstrated expertise in computational fluid dynamics (CFD) modeling, cell culture kinetics and metabolic flux balance modeling, chromatography modeling, and filtration theory and modeling is preferred.
Benefits
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- Bachelor's degree or equivalent education and typically 10 years of experience, Master's degree or equivalent education and typically 8 years of experience, PhD degree or equivalent education and 0-2 years of experience.
- Education background in chemical engineering, biomedical engineering, biochemistry, biochemical engineering, or biotechnology is preferred.
Company info
- We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
- 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.
Equal opportunity
- Employer/Veterans/Disabled.
- US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
- US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
- https://www.abbvie.com/join-us/reasonable-accommodations.html
This listing is sourced directly from AbbVie's careers page and normalized into a canonical job model.