Senior Scientist II Full-time

Job Title

Conceive and execute novel scientific research or development that achieves projects and area goals. Generate new scientific proposals and lead those efforts. Investigate, identify, develop, and optimize new methods and techniques. Act as a lead scientist in his/her area of expertise and critically evaluate relevant scientific and regulatory advances and integrate this knowledge into research or development programs.

Responsibilities

• Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Develop and validate mechanistic and hybrid models for CHO based cell culture and downstream purification unit operations. Provide direct modeling support to first in human and late-stage project teams
• Lead AI capabilities buildout for natural language driven problem solving with models
• Build and maintain robust computational guidance and workflow, build computing infrastructure by working with IT and Information research organizations
• Play a key role in using AI to streamline and automate model building process. Develop AI skills for automated documentation and knowledge management interfaces (Model execution and result analysis triggered by user prompts)
• Publish research in peer-reviewed journals and present work at scientific conferences.
• Proactively seek out new information in the literature and incorporate this into individual project(s) as well as the overall program.
• Seize opportunities to pursue project relevant leads that are in line with the group's strategy.
• Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.
• May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.

Qualifications

• Bachelor's Degree or equivalent education and typically 12 years of experience, Master's Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience.
• Possess thorough theoretical and practical understanding of own scientific discipline.
• Effective writer and communicator of research or other regulatory materials.
• Familiarity with protein homology modeling and using AI/ML approaches in Quantitative Structure-Activity Relationship (QSAR) prediction is preferred.
• Strong programming skills (Python and shell scripting) and experience working in HPC and/or cloud computing environments are highly preferred

Additional Information

• 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.

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.

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Pay Range: $109500 – 208500 USD

Where We Work

Role is exclusively performed at a site or office and onsite presence is required. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.