Job Description

The Computational Toxicology group within the Nonclinical Drug Safety (NDS) division at our company is actively seeking an enthusiastic AI/ML data Scientist to contribute to the discovery and development of effective, safer therapeutics for patients. This key role will be instrumental in supporting NDS's broader vision to be at the forefront of AI/ML application and data science methodologies towards drug safety prediction.

Note: This position is available in South San Francisco, CA or West Point, PA based on candidate preference.

Key Responsibilities:

• Individual contributor role, requiring mentorship of junior scientists

• Prepare ML model-ready dataset by curation, integration, and harmonization of multimodality data from the internal and external domains, in partnership with the subject-matter experts within NDS and our company's Research IT teams

• Apply probabilistic, neural networks ML models, and generative AI methods to inform prioritization for chemistry and toxicology resources

• Leverage LLM and generative AI models (e.g. GAN, VAE) to understand mechanisms of toxicity, identify molecules with desired drug-like properties, to prioritize animal resources

• Work collaboratively with colleagues across multiple sites and functional areas to deploy, utilize, and increase the visibility of ML approaches in selection of chemical series with a high probability of success, and enable prioritization of in vivo resources

• Upscale NDS staff on the utility of predictive AI/ML approaches in drug safety

• Stay abreast with new AI approaches and regulatory landscape in the field of predictive toxicology

Qualifications:

Education:

• Ph.D. (with 4+ years) or Master’s (with 8+ years) in computer science, computational biology, cheminformatics or related data science fields with relevant years of experience

Required Experience and Skills:

• Proven experience in applying traditional machine learning methods as well as, Deep Neural Networks, Generative AI and LLM on data from pharmaceutical or other industry sectors

• Fluency in python, R programing, standard python packages like Pandas, NumPy, Matplotlib, and ML frameworks such as TensorFlow, Pytorch

• Experience with version control and related code reproducibility practices such as git documentation

• Experience with Linux and high-performance or cloud computing environments (e.g., AWS) and data lake platforms (e.g., Databricks)

• Self-motivated with a high level of autonomy

• Exceptional communication, presentation, and collaboration skills to effectively distill complex technical concepts for a broad range of stakeholders is necessary

• High interpersonal skills with a collaborative mindset

• Domestic travel 10-20% is required

Preferred Experience and Skills:

• Experience with ML models deployment frameworks such as ML-Ops

• Prior experience working in a multidisciplinary environment within the Pharmaceutical Industry, and other healthcare sectors

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders).  Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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Expected US salary range:

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

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