AI Engineering Director

Key Skills

AI technology, Bayesian networks, Clustering, CNNs, Computer Vision (CV), Data science techniques, Data Wrangling, Decision trees, Deep Learning, Genomic data, Linear Algebra, Machine learning techniques, Probability, RNNs

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $42 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 120,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services and Patheon. Thermo Fisher Scientific is an equal opportunity employer. For more information, please visit www.thermofisher.com.

Position Summary:

What will you do?

• Lead a globally distributed team of interdisciplinary engineers and data scientists that receive mentorship from, and report back directly to C-suite leadership, spanning the Global IT and R&D organization.
• Provide key support for the development and implementation of a strategic vision of data science, artificial intelligence, and machine learning across the R&D components of all business units at the company
• Work with senior leaders within the business units to identify and prioritize the most impactful data science projects and opportunities
• Identify and fill strategic gaps in the organization, ensuring we maintain competitive advantage across our global business
• Coordinate companywide external vendor contracts and the development of a list of trusted vendors to complete the development of data-centric infrastructure that supports AI/ML algorithm development
• Lead in the development of metrics, processes, and standards for the prioritization and innovation around data science (esp. artificial intelligence) projects and the development of data-driven productization
• Run multiple R&D Artificial Intelligence programs and projects in parallel, ensuring on time completion and delivery into products for our customers
• Advise individual business units on their data science strategy
• Build an entrepreneurial environment for the exploration and development of new data-driven product concepts
• Support the development of hardware conceptualization methodologies that consider data and analytic needs from beginning to end
• Provide the connective tissue between the IT organization and R&D organization
• Identify commonalities across silos; facilitate information sharing and reduction in redundant efforts, where appropriate

How will you get here?

Education

• PhD in a scientific field that heavily demonstrates computational techniques or equivalent experience

Experience

• 15+ years proven experience post PhD completion or equivalent
• 5+ years working in machine learning or related field

Knowledge, Skills, Abilities

• Demonstrated passion for artificial intelligence (AI) and machine learning (ML)
• Ability to understand foundational research in ML and the skills to understand scientific R&D across numerous subject areas
• Ability to communicate to C-level leadership the importance of AI/ML across our organization in the context of this rapidly evolving field
• Team leadership experience, especially for highly technical engineers
• Enthusiastic about new technologies and how AI/ML can accelerate R&D, yet realistic in its potential and its application
• Excellent understanding of AI techniques and algorithms, such as deep learning, CNNs, RNNs, decision trees, clustering, ensembles, etc.
• Knowledge of current deep learning models and commercially available deep learning products for life sciences, genomics, materials science, computer vision, etc.
• Solid foundation in mathematics, especially probability, classical and Bayesian statistics, linear algebra, differential equations, and calculus
• Experience with big data, data science, data wrangling, and databases
• Excellent grasp of software practices and experience working in an Agile development environment
• Excellent written and verbal communication skills, especially in presenting scientific results
• Ability to engage with innovation leaders globally and high-level R&D leaders within a large, global company
• Understanding of regulated software projects (HIPAA, FDA GMP, etc.) will make you a stronger candidate
• Desire to continuously improve processes and practices
• Strong technical and mentorship personality is vital

Benefits:

We offer competitive remuneration, annual incentive plan bonus scheme, healthcare, 401k with company match, and a range of employee benefits! Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospect. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation.

The salary range estimated for this position is $175,000-$200,000. This position will also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. Actual compensation will be confirmed in writing at the time of offer.

We offer a comprehensive Total Rewards package that our US colleagues and their families can count on, which generally includes:

• A choice of national medical and dental plans, and a national vision plan
• A wellness program, and valuable health incentive opportunities for company contributions to a Health Reimbursement Account (HRA) or Health Savings Account (HSA)
• Tax-advantaged savings and spending accounts and commuter benefits
• Employee assistance program
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, short- and long-term disability, and volunteer time off in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount