Design Principal Visa Sponsorship Jobs in Massachusetts
Design principal visa sponsorship jobs in Massachusetts are concentrated in Greater Boston, where technology companies, healthcare systems, and research institutions actively hire senior design talent. Employers like Wayfair, HubSpot, Fidelity Investments, and Mass General Brigham have sponsored design leadership roles, making Massachusetts one of the more active states for design principal sponsorship.
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About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
We are seeking an innovative and highly experienced scientist to lead the application of artificial intelligence and machine learning to the design of next-generation antibody-drug conjugates (ADCs). This role will integrate computational biology, antibody engineering, linker-payload chemistry, and translational drug discovery to create ADCs with improved efficacy, safety, and manufacturability.
The successful candidate will collaborate across biologics, medicinal chemistry, data science, and translational research teams to design and optimize antibody architectures, conjugation strategies, and linker systems for oncology, immunology, and emerging therapeutic areas.
Key Responsibilities
- Develop and implement AI/ML models to guide ADC discovery and optimization, including target selection, antibody engineering, linker design, and payload selection.
- Build predictive models for critical ADC properties, including stability, internalization, efficacy, pharmacokinetics, toxicity, and therapeutic index.
- Apply generative AI, protein language models, and structure-based design approaches to create novel antibody formats and conjugation strategies.
- Integrate sequence, structural, biophysical, chemical, and biological datasets to accelerate iterative design-build-test cycles.
- Inform engineering of monoclonal antibodies and advanced biologic formats to improve affinity, selectivity, internalization, developability, and manufacturability.
- Design strategies for site-specific conjugation and optimized drug-to-antibody ratio (DAR).
- Guide experimental validation of engineered antibodies through close partnership with discovery and characterization teams.
- Develop predictive frameworks connecting linker chemistry and conjugation properties to efficacy, safety, biodistribution, and resistance mechanisms.
- Partner with chemistry teams to advance novel conjugation technologies and next-generation payload delivery platforms.
- Establish data strategies and computational workflows that improve decision quality and reduce experimental cycle times.
- Communicate findings and recommendations to project teams, senior leadership, and external scientific audiences.
- Maintain awareness of advances in AI, protein engineering, linker-payload technology, conjugation chemistry, and computational drug discovery.
Minimum Qualifications:
- Bachelor’s Degree in Science related field with 16 years of related work; Master’s Degree Science or PharmD with 14 years of related work; PhD in Science or related field with 8 years of related work experience.
- PhD in computational biology, bioengineering, protein engineering, chemistry, chemical biology, pharmaceutical sciences, or a related discipline.
- 8+ years of relevant industry experience in biologics, ADCs, protein engineering, computational drug design, or related therapeutic modalities.
- Demonstrated expertise in antibody engineering, including humanization, affinity maturation, format engineering, and developability optimization.
- Proven track record applying machine learning, deep learning, generative AI, or computational design methods to therapeutic discovery.
- Strong understanding of ADC pharmacology, intracellular trafficking, pharmacokinetics, safety drivers, and resistance mechanisms.
- Experience leading or influencing multidisciplinary drug discovery teams.
- Strong record of publications, patents, platform innovation, or advancement of drug discovery programs.
Preferred Qualifications:
- Experience with protein language models, generative molecular design, graph neural networks, multimodal learning, or biological foundation models.
- Expertise in structural biology and modeling approaches, including AlphaFold-based modeling, molecular dynamics, cryo-EM, or X-ray crystallography.
- Experience developing scalable AI platforms for biologics or multimodal therapeutic design.
- Knowledge of next-generation ADC modalities, including bispecific ADCs, immune-stimulating ADCs and targeted delivery systems.
- Demonstrated leadership of cross-functional discovery programs and scientific teams.
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 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 and serving our community. 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
Company Description
About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
We are seeking an innovative and highly experienced scientist to lead the application of artificial intelligence and machine learning to the design of next-generation antibody-drug conjugates (ADCs). This role will integrate computational biology, antibody engineering, linker-payload chemistry, and translational drug discovery to create ADCs with improved efficacy, safety, and manufacturability.
The successful candidate will collaborate across biologics, medicinal chemistry, data science, and translational research teams to design and optimize antibody architectures, conjugation strategies, and linker systems for oncology, immunology, and emerging therapeutic areas.
Key Responsibilities
- Develop and implement AI/ML models to guide ADC discovery and optimization, including target selection, antibody engineering, linker design, and payload selection.
- Build predictive models for critical ADC properties, including stability, internalization, efficacy, pharmacokinetics, toxicity, and therapeutic index.
- Apply generative AI, protein language models, and structure-based design approaches to create novel antibody formats and conjugation strategies.
- Integrate sequence, structural, biophysical, chemical, and biological datasets to accelerate iterative design-build-test cycles.
- Inform engineering of monoclonal antibodies and advanced biologic formats to improve affinity, selectivity, internalization, developability, and manufacturability.
- Design strategies for site-specific conjugation and optimized drug-to-antibody ratio (DAR).
- Guide experimental validation of engineered antibodies through close partnership with discovery and characterization teams.
- Develop predictive frameworks connecting linker chemistry and conjugation properties to efficacy, safety, biodistribution, and resistance mechanisms.
- Partner with chemistry teams to advance novel conjugation technologies and next-generation payload delivery platforms.
- Establish data strategies and computational workflows that improve decision quality and reduce experimental cycle times.
- Communicate findings and recommendations to project teams, senior leadership, and external scientific audiences.
- Maintain awareness of advances in AI, protein engineering, linker-payload technology, conjugation chemistry, and computational drug discovery.
Minimum Qualifications:
- Bachelor’s Degree in Science related field with 16 years of related work; Master’s Degree Science or PharmD with 14 years of related work; PhD in Science or related field with 8 years of related work experience.
- PhD in computational biology, bioengineering, protein engineering, chemistry, chemical biology, pharmaceutical sciences, or a related discipline.
- 8+ years of relevant industry experience in biologics, ADCs, protein engineering, computational drug design, or related therapeutic modalities.
- Demonstrated expertise in antibody engineering, including humanization, affinity maturation, format engineering, and developability optimization.
- Proven track record applying machine learning, deep learning, generative AI, or computational design methods to therapeutic discovery.
- Strong understanding of ADC pharmacology, intracellular trafficking, pharmacokinetics, safety drivers, and resistance mechanisms.
- Experience leading or influencing multidisciplinary drug discovery teams.
- Strong record of publications, patents, platform innovation, or advancement of drug discovery programs.
Preferred Qualifications:
- Experience with protein language models, generative molecular design, graph neural networks, multimodal learning, or biological foundation models.
- Expertise in structural biology and modeling approaches, including AlphaFold-based modeling, molecular dynamics, cryo-EM, or X-ray crystallography.
- Experience developing scalable AI platforms for biologics or multimodal therapeutic design.
- Knowledge of next-generation ADC modalities, including bispecific ADCs, immune-stimulating ADCs and targeted delivery systems.
- Demonstrated leadership of cross-functional discovery programs and scientific teams.
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 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 and serving our community. 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
Design Principal Job Roles in Massachusetts
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Search Design Principal Jobs in MassachusettsDesign Principal Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for design principals in Massachusetts?
Technology and healthcare companies account for most design principal sponsorship activity in Massachusetts. Employers like Wayfair, HubSpot, Fidelity Investments, Liberty Mutual, and Biogen have filed for senior design roles in the past. Boston's dense concentration of biotech firms and enterprise software companies means design leadership positions regularly appear in DOL Labor Condition Application disclosure data alongside sponsorship history.
Which visa types realistically fit design principal roles in Massachusetts?
Design principal roles typically qualify as specialty occupations requiring a directly related bachelor's degree, making H-1B visa the most common path. H-1B1 visa is available to Chilean and Singaporean nationals, and E-3 visa applies to Australian nationals, both also requiring specialty occupation status and a Labor Condition Application filed by the employer. Candidates already in the U.S. on F-1 OPT may work for a sponsoring employer before the H-1B visa transfer. Green card sponsorship through EB-2 or EB-3 is also possible for long-term hires.
Which cities in Massachusetts have the most design principal sponsorship jobs?
Boston and Cambridge account for the majority of design principal sponsorship activity in Massachusetts, driven by concentrations of technology companies, financial services firms, and research hospitals. The Route 128 corridor, including towns like Waltham, Burlington, and Lexington, also hosts enterprise software and medical device companies that hire senior design talent. Worcester and Somerville have smaller but growing design hiring activity tied to startup ecosystems and urban redevelopment.
How to find design principal visa sponsorship jobs in Massachusetts?
Migrate Mate is the most direct way to search for design principal visa sponsorship jobs in Massachusetts, as the platform shows employers with verified LCA sponsorship filing history filtered by role and location. This lets you identify which Greater Boston and Route 128 companies have actually sponsored design leadership positions, rather than applying broadly and asking about sponsorship late in the process.
Are there state-specific factors that affect design principal sponsorship in Massachusetts?
Massachusetts has a dense university ecosystem including MIT, Harvard, and Northeastern that creates a strong pipeline of design talent, which means employers are accustomed to international hires and sponsorship processes. The state's biotech and healthcare technology sectors are distinct from typical consumer product design markets, so design principal candidates with experience in research-driven or enterprise product environments tend to align better with the roles Massachusetts employers actively sponsor.
What is the prevailing wage for sponsored design principal jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.