Sr Scientist I AI ML
Sr Scientist I AI ML
Posted on :
20-01-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
20-01-2025
Job Description
Job Title: Sr Scientist I AI / ML
Job Location: Massachusetts USA
Job Location Type: Remote
Job Contract Type: Fulltime
Job Seniority Level: MidSenior level
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions 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 and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie please visit us Follow @abbvie onTwitterFacebookInstagramYouTubeandLinkedIn.
Job Description
AbbVie seeks a knowledgeable selfmotivated and creative scientist with demonstrated impact in AI/ML applications for computational chemistry / drug discovery. The selected candidate will join our Computational Drug Discovery group within the Discovery Research organization.
The candidate will have the opportunity to develop and advance AI/ML technologies at the heart of computeraided drug design. The candidate should have broad experience with computational techniques with a focus on the stateoftheart methods in machine learning applied to chemical and biological data. The key responsibilities of this position are to identify develop optimize validate and deploy innovative methods for molecular generation drugtarget interaction prediction and modeling that leverage artificial intelligence and machine learning models to enhance molecular design capabilities. The candidate should have a working knowledge of chemistry and the ability to work collaboratively with a broad variety of disciplines including other members of our internal computational chemistry and cheminformatics groups to accelerate drug discovery from hit identification through candidate selection.
You will have access to stateoftheart modeling simulation and machine learning technologies as well as computing infrastructure and be able to leverage rich collections of data to accelerate drug discovery in a fastpaced and creative environment.
This position offers the flexibility to be based onsite in North Chicago IL Worcester MA South San Francisco CA or Ludwigshafen Germany.
Qualifications
Qualifications:
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because 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 status as a protected veteran or any other legally protected group status.
US & Puerto Rico only to learn more
US & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
AbbVie's mission is to discover and deliver innovative medicines and solutions 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 and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie please visit us Follow @abbvie onTwitterFacebookInstagramYouTubeandLinkedIn.
Job Description
AbbVie seeks a knowledgeable selfmotivated and creative scientist with demonstrated impact in AI/ML applications for computational chemistry / drug discovery. The selected candidate will join our Computational Drug Discovery group within the Discovery Research organization.
The candidate will have the opportunity to develop and advance AI/ML technologies at the heart of computeraided drug design. The candidate should have broad experience with computational techniques with a focus on the stateoftheart methods in machine learning applied to chemical and biological data. The key responsibilities of this position are to identify develop optimize validate and deploy innovative methods for molecular generation drugtarget interaction prediction and modeling that leverage artificial intelligence and machine learning models to enhance molecular design capabilities. The candidate should have a working knowledge of chemistry and the ability to work collaboratively with a broad variety of disciplines including other members of our internal computational chemistry and cheminformatics groups to accelerate drug discovery from hit identification through candidate selection.
You will have access to stateoftheart modeling simulation and machine learning technologies as well as computing infrastructure and be able to leverage rich collections of data to accelerate drug discovery in a fastpaced and creative environment.
This position offers the flexibility to be based onsite in North Chicago IL Worcester MA South San Francisco CA or Ludwigshafen Germany.
Qualifications
Qualifications:
- BS MS or PhD in Chemistry/Computer Science/Machine Learning/Cheminformatics/Chemical Engineering or related education with typically 10 years (BS) 8 years (MS) or 03 years (PhD) and experience developing machine learning models related to chemical and biological data.
- Expertise with developing implementing and deploying programs and computational solutions employing Machine Learning/Deep learning and Cheminformatics
- Expertise in AI/MLenabled molecular generation pose generation and/or affinity prediction are preferred
- Ability to implement debug and maintain computational tools in common programming languages (Pythonetc) and proficiency with cloud computing capabilities
- Strong analytical and problemsolving skills with demonstrated ability to think critically and creatively and provide solutions both individually and collaboratively with internal experts to develop and optimize the computational discovery infrastructure including cloud resources
- Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to nonspecialists
- Familiarity with KNIME Pipeline Pilot or other automation interfaces
- Familiarity with modern deep learning architectures including GNN CNN RNN Transformer GCNN and MPNN and machine learning paradigms such as generative models GAN and active learning
- Experience with deep learning platforms such as Pytorch Tensorflow or Keras
- Strong programming skills in Python and experience with data science stack including numpy pandas scikitlearn and other related scientific libraries
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 ingood faith it will pay for this role at the time of this posting based on the job grade for this position. Individualcompensation paid within this range will depend on many factors including geographic location and we may ultimatelypay 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/visioninsurance and 401(k) to eligible employees.
- This job is eligible to participate in our shortterm incentive programs.
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because 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 status as a protected veteran or any other legally protected group status.
US & Puerto Rico only to learn more
US & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
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Employment Type
Full Time
Key Skills
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