Mid Level Tax Expert Jobs
Mid level tax expert jobs go to professionals ready to own complex client engagements, review junior work product, and navigate tax issues with minimal escalation. Roles are distributed across on-site, remote, and hybrid settings within Technology & Software, Healthcare & Medical Services, and Fintech, with Intuit, UPMC, and Geisinger hiring at this level now.
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Summary
#LI-Hybrid
Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.
Imagine shaping how breakthrough medicines are discovered by bringing cutting-edge AI from concept to real-world application. As a Senior Expert in AI Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes.
About the Role
Key Responsibilities
- Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures
- Own end-to-end model lifecycle from problem definition to production deployment and continuous improvement
- Conduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectives
- Deploy scalable, reliable model inference services meeting latency, throughput, and cost requirements
- Build automated training, retraining, and monitoring pipelines including model drift detection mechanisms
- Optimize models and pipelines for performance, reliability, and scalability across production environments
- Establish and promote engineering best practices for reproducibility, testing, and deployment standards
- Collaborate with cross-functional teams to translate research innovations into production-ready AI solutions
- Partner with scientific experts to validate models against biological and chemical benchmarks
- Mentor teams and contribute to raising engineering excellence across the AI for Research organization
Essential Requirements
- Minimum four years of experience building, training, and deploying machine learning models with measurable real-world impact
- Deep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimization
- Proven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific models
- Strong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributions
- Experience with distributed training and large-scale computing environments for high-performance model training
- Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance
- Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment
- Strong problem-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environments
Novartis Compensation and Benefit Summary
The salary for this position is expected to range between 1,38,600.00 - 2,57,400.00 USD Annual.
The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically upon joining Novartis. Novartis may update the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility for annual equity awards.
US-based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time-off package, including vacation, personal days, holidays, and other leave options. To learn more about the culture, rewards and benefits we offer our people click here.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Summary
#LI-Hybrid
Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.
Imagine shaping how breakthrough medicines are discovered by bringing cutting-edge AI from concept to real-world application. As a Senior Expert in AI Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes.
About the Role
Key Responsibilities
- Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures
- Own end-to-end model lifecycle from problem definition to production deployment and continuous improvement
- Conduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectives
- Deploy scalable, reliable model inference services meeting latency, throughput, and cost requirements
- Build automated training, retraining, and monitoring pipelines including model drift detection mechanisms
- Optimize models and pipelines for performance, reliability, and scalability across production environments
- Establish and promote engineering best practices for reproducibility, testing, and deployment standards
- Collaborate with cross-functional teams to translate research innovations into production-ready AI solutions
- Partner with scientific experts to validate models against biological and chemical benchmarks
- Mentor teams and contribute to raising engineering excellence across the AI for Research organization
Essential Requirements
- Minimum four years of experience building, training, and deploying machine learning models with measurable real-world impact
- Deep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimization
- Proven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific models
- Strong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributions
- Experience with distributed training and large-scale computing environments for high-performance model training
- Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance
- Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment
- Strong problem-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environments
Novartis Compensation and Benefit Summary
The salary for this position is expected to range between 1,38,600.00 - 2,57,400.00 USD Annual.
The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically upon joining Novartis. Novartis may update the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility for annual equity awards.
US-based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time-off package, including vacation, personal days, holidays, and other leave options. To learn more about the culture, rewards and benefits we offer our people click here.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
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Find Mid Level Tax Expert JobsMid Level Tax Expert Job Market
Who's Hiring
- Intuit10
- UPMC4
- Geisinger4
- Novartis3
- Adobe2
Top Industries Hiring
- Technology & Software17
- Healthcare & Medical Services9
- Fintech7
- Consulting & Professional Services6
- Biotechnology & Pharmaceuticals4
Mid Level Tax Expert Jobs: Frequently Asked Questions
How do I get a mid level tax expert job?
Position your existing experience around ownership and complexity, not just task completion. Highlight returns you prepared independently, client relationships you managed, and technical tax issues you resolved without close supervision. Tailor your resume to the specific tax focus of each role, whether that is corporate, individual, or multi-state, and emphasize software proficiency and any credentials such as CPA or Enrolled Agent status.
Which companies hire mid level tax experts?
Companies hiring mid level tax experts right now include Intuit, UPMC, and Geisinger, based on current listings on Migrate Mate as of June 2026. Hiring at this level comes from public accounting firms, corporate tax departments, and financial services companies that need professionals who can carry a full workload independently.
Are there remote mid level tax expert jobs?
Yes, remote and hybrid options are well established at this level. About 23% of mid level tax expert openings are remote or hybrid as of June 2026, reflecting how widely tax work has shifted to distributed teams. Fully remote roles tend to appear most often at national accounting firms and technology-sector employers.
How do I move up to a mid level tax expert role?
The progression from entry level to mid level comes from accumulating ownership, not just years. Build depth in a defined tax specialty, take on return preparation from start to finish, volunteer for more complex client situations, and document measurable outcomes such as credits identified or adjustments resolved. Earning a credential like CPA or Enrolled Agent accelerates the transition by signaling independent competence to hiring managers.
Which industries hire the most mid level tax experts?
Mid Level tax expert roles concentrate in Technology & Software, Healthcare & Medical Services, and Fintech, based on current listings on Migrate Mate as of June 2026. Those sectors drive hiring because they combine high transaction volume, regulatory complexity, and year-round compliance needs that require experienced professionals rather than generalists.