Deep and Machine Learning Specialist

About AbbVie
AbbVie's mission is to discover and deliver innovative medicines 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: immunology, oncology, neuroscience, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on Twitter , Facebook , Instagram , YouTube and LinkedIn .

Here is an opportunity to work with the best of the best at the intersection of machine learning, deep learning, genomics, and biology to make a remarkable impact by enabling people to lead longer and healthier lives. As a Deep and Machine Learning Specialist you will work as part of AbbVie's Information Research RAIDERS team in conjunction with our partners at Calico Labs. You will bring together the power of domain science and technology at the interface of bioinformatics, data engineering, and deep learning techniques to generate new understanding of the biology of aging that contributes to disease.

In this opportunity you will work as part of a highly capable team helping to bridge together domain specialists in genomics, CRISPR, cellular biology, imaging, and bioinformatics along with machine and deep learning engineers from Calico to extract insights from diverse data. You will apply your established technical skills and experience with machine and deep learning techniques to deliver solutions capable of providing true insights that push forward the fundamental understanding of aging-related diseases. You will utilize your notable consulting mindset to bridge the communication gaps between domain scientists and technologists. You will bring your solution architecture expertise to help design, develop, and deliver models and tools that extract and generate these insights.

Job Responsibilities

• Define and support data transformation and preparation activities independently and in conjunction with data engineers.
• Advise on, design and deploy models and solutions built around deep and machine learning technologies in conjunction with Calico machine and deep learning engineers.
• Advise on, design and deploy models and solutions built around genomics and CRISPR screening data and cellular biology in conjunction with AbbVie/Calico domain scientists and experts
• Advise on, design and develop server-side programming components to support the delivery of solutions built on deep and machine learning models in conjunction with Calico software engineers
• Research, evaluate, and recommend process improvements, including automated systems and enhanced models in support of activities
• Participate in a broader federated team of AI and automation specialists across AbbVie as part of the Information Research RAIDERS team, sharing expertise and educating a broader audience about solutions in your specialty.

Qualifications

Education

• Bachelors with 14 years of experience or Master's with 12 years of experience or PhD with 6 years of experience
• Additional degrees or education in bioinformatics, cheminformatics, biology, medicine, or other life sciences domain is preferred.

Minimum Experience

• Expertise with developing, implementing and deploying programs and computational solutions employing data science techniques
• Proficiency in Python, SQL, and AWS capabilities and tools
• Experience with solution architecture development and deployment
• Experience with genomics, CRISPR, and imaging data and testing procedures
• Practical experience in a scientific discipline such as biology, pharmacology or related, ideally a BS or related degree
• Familiarity with pharmaceutical development including clinical trial design and operations

Skills

• Ability to work in an agile, fast-paced environment
• Passion for exploratory projects, including proof-of-concept and proof-of-value engagements, and an ability to guide those concepts into production solutions
• Ability to handle multiple projects at once
• Ability to communicate effectively with multiple groups within the organization and effectively collaborate with external partners.

Significant Work Activities
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Travel
Yes, 25 % of the Time
Job Type
Experienced
Schedule
Full-time
Job Level Code
M
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.