OPT VP Of AI Jobs
VP of AI roles sit at the intersection of executive leadership and deep technical strategy, making them one of the most competitive OPT targets. Most require STEM OPT authorization, and your 24-month STEM extension eligibility is a real advantage. Employers sponsoring at this level almost always file H-1B visa petitions, giving you a clear path forward.
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Get Access To All JobsINTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
INTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
See all 314+ OPT VP Of AI Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in VP Of AI
Lead with your technical depth first
VP of AI candidates who come from strong ML engineering or research backgrounds get further than those who lead with management experience. Demonstrate you can architect systems and lead teams, not just one or the other.
Target companies with active AI infrastructure buildouts
Companies in mid-scale growth phases building out AI teams from scratch are far more likely to sponsor than mature organizations filling a single executive slot. Look for Series B through pre-IPO companies hiring their first AI leader.
Confirm your STEM OPT eligibility before applying
Most VP of AI roles qualify under STEM OPT if your degree is in computer science, data science, or a related field. Verify your DSO has approved your STEM extension application before you accept any offer at this level.
Frame your OPT timeline around the H-1B cap cycle
H-1B visa registration opens in March each year. If your OPT expires before October 1, you need enough runway for cap-gap protection to bridge the gap. Map your offer timing against these dates before committing.
Build a publication or patent record before interviewing
At the VP level, companies want external validation of your AI expertise. Published research, patents, or recognized conference presentations strengthen both your candidacy and any future O-1 visa or EB-1 petition your employer may file.
Negotiate sponsorship terms explicitly in your offer letter
Do not assume H-1B sponsorship is automatic at this seniority level. Ask the recruiter to confirm sponsorship commitment and have it documented before signing. Verbal assurances alone are not enforceable if leadership changes.
VP Of AI OPT: Frequently Asked Questions
Can an F-1 OPT student work as a VP of AI?
Yes. F-1 students on OPT can work in any role that is directly related to their field of study, including senior executive positions like VP of AI. If your degree is in computer science, data science, or a related STEM field, this role typically qualifies. Confirm alignment with your DSO before accepting an offer.
Do VP of AI roles typically come with H-1B sponsorship?
Most companies hiring at the VP level understand that top AI talent frequently requires sponsorship. Employers investing in building out an AI function generally view H-1B filing costs as part of the hiring package. That said, sponsorship is never guaranteed, so you should confirm it explicitly during the offer negotiation stage rather than assuming.
How does the 24-month STEM OPT extension apply to this role?
If your underlying degree is in a STEM-designated field and your employer is enrolled in E-Verify, you can apply for a 24-month STEM OPT extension beyond your standard 12-month OPT period. This gives you up to three years of total OPT work authorization, which covers two full H-1B cap cycles and significantly increases your chances of obtaining H-1B status.
Where can I find VP of AI jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for employers open to sponsoring international candidates. Searching on Migrate Mate saves time by surfacing AI leadership roles where sponsorship is part of the employer's hiring approach, rather than requiring you to filter through general job postings with no visa information.
Is an O-1 visa a realistic option for VP of AI candidates on OPT?
Yes, and it is worth exploring alongside H-1B. The O-1A visa is for individuals with extraordinary ability in fields including AI research and technology leadership. If you have peer-reviewed publications, patents, awards, or a track record of leading high-impact AI systems, you may qualify. Unlike H-1B, O-1 has no annual cap and no lottery, so approval depends entirely on your documentation.