Senior Data Scientist Computational Biology Toxicology
Senior Data Scientist Computational Biology Toxicology
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1 Vacancy
Job Description
The Computational Toxicology group is dedicated to advancing insilico methods that enhance the prediction and understanding of safety and toxicology for both small and large molecules. Team members will work with diverse biologyrelated datasets ranging from pharmacology toxicology genomics and chemistry applying data science and machine learning techniques. The primary goal is to leverage data effectively and identify useful insights. This role focuses on leveraging computational expertise to process and analyze biological datasets for predictive modeling and novel safetyrelated discoveries.
Responsibilities:
- Collaborate with research teams and data scientists to design and implement datadriven strategies utilizing machine learning/AI methods to support discovery and preclinical safety studies. Work closely with scientists to codevelop tools and solutions tailored to the most relevant and pressing research problems ensuring that computational approaches align with scientific objectives.
- Design develop and implement solutions with applications including but not limited to chemistry in vitro preclinical clinical and genomic datasets.
- Identify curate and process internal and external biology and safetyrelated datasets. Apply data science methodologies to harmonize and analyze complex datasets uncovering associations that inform safety assessments.
- Develop predictive models analytical tools and intuitive user interfaces to translate computational findings into actionable insights enabling safety risk prediction.
- Communicate results and methods clearly to both scientific and nontechnical audiences ensuring effective knowledge transfer across teams.
Qualifications :
- PhD in Pharmacology Computer Science Computational Biology Statistics or a related field with experience in biology or toxicology datasets. Industry experience in the pharmaceutical or biotech sector is a plus. Bachelors Degree or equivalent education with 10 or more years of experience Masters Degree or equivalent education with 8 or more years of experience.
- Proficiency in bioinformatics and data science tools with expertise in Python and experience with parallel and/or cloud computing. Familiarity with database management systems and advanced querying techniques for efficiently handling and extracting insights from large datasets.
- Solid understanding of machine learning techniques including supervised/unsupervised learning clustering classification algorithms (e.g. SVMs random forests gradient boosting trees deep learning) and predictive modeling. Experience with advanced AI techniques such as generative models (e.g. GANs VAEs) and large language models (LLMs) is highly desirable
- Experience in statistical methods such as hypothesis testing Bayesian inference timeseries analysis and multivariate analysis particularly applied to biological datasets.
- Experience with data visualization and interface development with an emphasis on biological data representation.
Additional Information :
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 shortterm 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 Companys sole and absolute discretion unless and until paid and may be modified at the Companys 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 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.
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No
Employment Type :
Fulltime
Employment Type
Full-time
