Senior Computational Scientist I - Toxicology

Allergan; Greenlawn (NY); On-site; USD 94,000 - 179,000; Full time

Job summary

A leading company in the pharmaceutical industry seeks a Computational Toxicologist to enhance in-silico methods for safety and toxicology predictions. The ideal candidate will leverage data science and machine learning techniques to analyze diverse biological datasets, supporting preclinical safety studies and discovery efforts.

Benefits

Comprehensive benefits package including paid time off.

Medical/Dental/Vision insurance.

Eligibility for short-term incentive programs.

Qualifications

• PhD in relevant fields required; industry experience is a plus.
• Proficient in Python; experience with cloud computing is preferred.
• Solid understanding of machine learning techniques necessary.

Responsibilities

• Collaborate with teams to implement data-driven strategies using ML/AI techniques.
• Design and develop solutions for various biological datasets.
• Communicate results clearly to scientific and non-technical audiences.

Skills

Bioinformatics

Data Science

Python

Machine Learning

Statistical Methods

Data Visualization

Education

PhD in Pharmacology, Computer Science, Computational Biology, or related field

Bachelor's Degree with 10 years of experience

Master's Degree with 8 years of experience

Job description

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 atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Job Description

The Computational Toxicology group is dedicated to advancing in-silico methods that enhance the prediction and understanding of safety and toxicology for both small and large molecules. Team members will work with diverse biology-related 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 safety-related discoveries.

Responsibilities:

• Collaborate with research teams and data scientists to design and implement data-driven strategies, utilizing machine learning/AI methods to support discovery and preclinical safety studies. Work closely with scientists to co-develop 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 safety-related 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 non-technical 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.Bachelor’s Degree or equivalent education with10 or more years of experience, Master’sDegree 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, time-series 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 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. Salary: $94,000 - $178,500

• 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 short-term incentive programs.

Note: No amount of payis considered to bewages 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 benefitsthat are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid andmay 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.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html