FAQs
What locations are available for this position?
The position is available in South San Francisco, CA or West Point, PA based on candidate preference.
What is the primary focus of the Associate Director, Machine Learning role?
The primary focus is to contribute to the discovery and development of effective, safer therapeutics for patients using AI/ML methodologies in drug safety prediction.
What level of education is required for this role?
A Ph.D. (with 4+ years of experience) or a Master’s degree (with 8+ years of experience) in computer science, computational biology, cheminformatics, or related data science fields is required.
What specific skills are needed for the role?
Required skills include experience with traditional machine learning methods, Deep Neural Networks, Generative AI, LLM, fluency in Python and R, experience with ML frameworks (such as TensorFlow and PyTorch), as well as proficiency in cloud computing environments like AWS.
Is prior pharmaceutical industry experience necessary?
While not explicitly required, prior experience working in a multidisciplinary environment within the pharmaceutical industry and other healthcare sectors is preferred.
What are the travel requirements for this job?
Domestic travel of 10-20% is required.
Will there be opportunities for mentorship in this role?
Yes, this is an individual contributor role that also requires the mentorship of junior scientists.
What are the expected salary range and benefits for this position?
The expected salary range is $167,700.00 - $263,900.00, and available benefits include bonus eligibility, health care, retirement benefits, and paid time off.
What types of ML models will be utilized in this role?
The role involves applying probabilistic models, neural networks, generative AI methods, and large language models to inform prioritization for chemistry and toxicology resources.
Is experience with version control systems required?
Yes, experience with version control and related code reproducibility practices such as Git documentation is required.
What is the company’s approach to diversity and inclusion in hiring?
The company is committed to fostering an inclusive and diverse workplace and does not discriminate based on race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
What is the work model for this position?
The role follows a hybrid work model, requiring three days on-site per week, with Friday designated as a remote-working day unless business-critical tasks necessitate on-site presence.