About this role
We are seeking a Senior Scientist I with experimental and data science skills to join our peptide hit generation team. In this role, you will:
Leverage our innovative peptide microarray platform to accelerate hit identification and maturation from peptide mRNA and phage display campaigns, involving analysis of peptide display data sets, design of peptide microarrays, and analysis of peptide microarray data setsServe as the driving force behind all steps throughout the ideate-experiment-analyze cycleWork on a cross-functional team that leverages cutting edge (bio)chemical, biophysical, and computational toolsThis position offers the opportunity to play a key role in discovering impactful peptide therapeutics within a collaborative and innovative team.
Responsibilities:
Develop and use proprietary data analysis tools to efficiently analyze large-scale datasets derived from peptide display and peptide microarray librariesRoutinely demonstrate scientific initiative and creativity in research and development activities.Highly autonomous in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.Formulate conclusions and design follow-on experiments based on multidisciplinary data.Initiate new areas of investigation that are scientifically meaningful and can be incorporated into a research or development plan.Primary author of publications, presentations, regulatory documents, and/or primary inventor of patents.Effectively communicate results and conclusions to a wide range of target audiences.Demonstrate high proficiency across wide range of relevant techniques/technologies.Maintain a high level of efficiency and productivity. Adhere to timelines.Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, and controlled drug and radioactive compounds where applicable.
Required
Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.Possess thorough theoretical and practical understanding of own scientific disciplineProficiency in python as relevant for data science, specifically analysis of laboratory experiments with thousands or more data pointsThorough knowledge of Chemical Biology principles as they relate to the structure and function of peptides, proteins, and other biomoleculesPreferred:
Experience with mRNA-display, phage-display, and/or DNA-encoded libraries, or similar techniquesExperience with application of machine learning tools Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
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 short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
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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