Lead Machine Learning Engineer Visa Sponsorship Jobs in New Jersey
Lead machine learning engineer visa sponsorship jobs in New Jersey are concentrated along the Route 1 corridor and in Jersey City, where financial services firms like Prudential and Cognizant, pharma companies including Johnson & Johnson and Merck, and tech-forward employers actively recruit. New Jersey's proximity to New York City expands sponsoring employer options further for ML engineering leads.
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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
Purpose:
Risk Based Quality Management (RBQM) Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.
Responsibilities
- Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
- Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
- In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
- Enables data-driven insights to support of clinical development continuum, including precision medicine
- Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
- Responsible for coaching and mentoring junior team members
- Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior
Qualifications
- Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
- Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies
- Advanced career level proficiency in R, Python, SQL or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
- Expert proficiency with visualization tools like Spotfire, Tableau, Microstrategy or equivalent
- Proven expertise with Machine Learning and other advanced analytics techniques
- Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
- Demonstrated problem-solving and analytical skills
- Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
- Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
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
Purpose:
Risk Based Quality Management (RBQM) Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.
Responsibilities
- Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
- Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
- In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
- Enables data-driven insights to support of clinical development continuum, including precision medicine
- Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
- Responsible for coaching and mentoring junior team members
- Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior
Qualifications
- Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
- Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies
- Advanced career level proficiency in R, Python, SQL or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
- Expert proficiency with visualization tools like Spotfire, Tableau, Microstrategy or equivalent
- Proven expertise with Machine Learning and other advanced analytics techniques
- Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
- Demonstrated problem-solving and analytical skills
- Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
- Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
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
Lead Machine Learning Engineer Job Roles in New Jersey
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Search Lead Machine Learning Engineer Jobs in New JerseyLead Machine Learning Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for lead machine learning engineers in New Jersey?
Financial services and pharmaceutical companies drive much of the sponsorship activity for lead machine learning engineers in New Jersey. Firms like Prudential Financial, Cognizant, Johnson & Johnson, Merck, and AT&T have consistent LCA filing histories for senior ML roles. Large tech consultancies and trading firms operating out of Jersey City also sponsor regularly, particularly for candidates with deep experience in production ML systems and team leadership.
Which visa types realistically fit lead machine learning engineer roles in New Jersey?
The H-1B visa is the most common path, as lead machine learning engineer roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, mathematics, or a directly related field. H-1B1 visa applies to Chilean and Singaporean nationals. E-3 visa is available to Australian nationals. TN visa status covers Canadian and Mexican citizens who hold an engineering degree recognized under USMCA. F-1 students may use OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green cards are also pursued for senior roles.
Which cities in New Jersey have the most lead machine learning engineer sponsorship jobs?
Jersey City and Newark lead in sponsorship volume, largely due to their proximity to New York City's financial sector and the density of large employers in those metro areas. The Route 1 corridor from Princeton to Edison is another strong concentration, anchored by pharma headquarters and tech campuses. Parsippany and Florham Park also see activity from enterprise employers with dedicated data and AI divisions hiring at the lead level.
How to find lead machine learning engineer visa sponsorship jobs in New Jersey?
Migrate Mate lists New Jersey employers with verified LCA sponsorship history for machine learning engineering roles, so you can focus on companies that have already filed for positions at this level. Because lead ML engineer roles require demonstrating specialty occupation and team leadership scope, filtering to employers with senior-level ML filings in New Jersey gives you a materially stronger starting point than a general job search.
Are there state-specific factors that affect visa sponsorship for lead machine learning engineers in New Jersey?
New Jersey's concentration of pharmaceutical, financial services, and enterprise technology employers creates consistent demand for lead ML engineers with domain-specific experience, particularly in NLP for financial compliance, computer vision for drug discovery, and recommendation systems for retail. The state's university pipeline from Princeton, Rutgers, and NJIT produces strong local talent competition, which means sponsored candidates typically need to demonstrate specialized expertise or prior leadership of ML teams to clear the bar employers set for sponsorship consideration.
What is the prevailing wage for sponsored lead machine learning engineer jobs in New Jersey?
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.