At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs.
Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie)
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Design, develop, and deploy AI/ML models to support key drug development decisions, including target validation, mechanism-of-action modeling, biomarker discovery and patient stratification
Build predictive and mechanistic models leveraging multi-modal datasets (genomics, transcriptomics, proteomics, scientific knowledge, and clinical data)
Apply, expand, and validate state-of-the-art AI approaches including deep learning, transformers, and generative models
Train and fine-tune AI models using internal datasets
Translate complex biological datasets (e.g., scRNA-seq, spatial omics) into disease-relevant insights and hypotheses. Leverage these datasets to contextualize target gene expression in the context of cell types, disease biology and phenotypes
Continuously refine processes and workflows to boost efficiency, effectiveness, and reproducibility of AI/ML solutions
Build and implement AI/ML techniques to build pipelines for antibody design and optimization including structure prediction, sequence modeling and representation, affinity, selectivity, and drug-like properties
Drive cross-functional initiatives to embed AI/ML into end-to-end drug discovery pipelines
Stay current with industry trends and apply best practices to improve internal tools and processes
Develop methods for integrating and visualizing multi-omics data
Implement quality control measures and standard operating procedures
Communicate findings to scientific and executive stakeholders, linking AI outputs to program-level decisions
Stay updated with AI/ML advancements and drive accelerated internal innovations
Other duties as assigned
BS/BA degree in data science or related discipline and 4+ years of related experience in the biotech/pharmaceutical industry OR
Master’s degree in data science or related discipline and 2+ years of related experience in the biotech/pharmaceutical industry OR
PhD in data science or related discipline
Strong knowledge and hands-on experience in neuroscience and drug discovery, with a focus on AI/ML and genomic researc
Advanced proficiency in Python/R and ML frameworks (PyTorch, TensorFlow, etc.)
Handling large-scale biological datasets in cloud/ high-performance computing environments
Experience in command line and Linux environments
Expertise with state-of-the-art AI/ML models such as generative models (diffusion), language models (transformers), multimodal learning, geometric deep learning, graph representation learning
Deep knowledge of multi-omics integration (proteomics, single-cell, spatial, etc.), as well as disease biology, and molecular mechanisms
Experience with AI/ML biological transformer models for predicting gene perturbation, molecular efficacy, toxicity, or patient response
Expertise in bridging the gap between multiple biomarkers and machine learning approaches
Knowledge of protein structure analysis, antibody biology, and therapeutic antibody design principles
Ability to develop or customize data analysis pipelines and algorithms
Experienced in quality control measures and standard operating procedures to process sequencing data
Familiar with current industry trends and best practices in data science
Strong expertise in AI/ML applied to biological, pre-clinical or clinical data, not just general-purpose modeling
Demonstrated experience impacting drug discovery or development programs
Familiarity in neuroscience or complex disease biology
Ability to connect biological questions to data, models‚ and then to actionable decisions
Strong understanding of model interpretability and biological validation, not just performance metrics
Must understand the underlying science and the "why" behind the data, not just the AI/ML tools
Strong communications, problem-solving, analytical thinking skills
Detail oriented yet can see broader picture for the department.
Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency
Competence in managing and analyzing complex datasets.
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly what we have outlined in the job description.
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The annual base salary we reasonably expect to pay is $103,300.00-$141,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.