Sr. Data Scientist- Drug Discovery

Who We Are:

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.

What We Do:

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)

About the Role:

Plays a strong role in advancing neuroscience drug development programs using innovative data science and informatics approaches and pipelines. The initial focus will be in advancing AI/Machine learning (ML) capabilities by using diverse multi-omics datasets to understand mechanisms of drug action and enhance our drug programs through AI/ML predictive tools. Supports preclinical and clinical studies, coordinates complex sequencing datasets, and guides collaborative projects to ensure effective communication and coordination.

_

Your Contributions:

• Research, expand, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, and transformer models

• Supports development of reliable and impactful AI/ML model approaches into production environments

• Train and fine-tune AI models using internal datasets

• Continuously refine processes and workflows to boost efficiency, effectiveness, and reproducibility of AI/ML solutions

• Analyze large, complex sequencing datasets, including single brain cells and cell lines

• Integrate multi-omics (RNA-seq, proteomics), imaging, and clinical trial datasets into AI pipelines

• Leverage scRNASeq to contextualize target gene expression in the context of cell types, disease biology and phenotypes

• 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

• Drives cross-team projects and external initiatives to integrate AI/ML models into drug discovery pipelines, ensuring effective communication and coordination

• 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

• Prepare detailed reports, presentations, and documentation to communicate findings to stakeholders

• Stay updated with AI/ML advancements and drive accelerated internal innovations

• Other duties as assigned

Requirements:

• BS/BA degree in data science or related discipline and 4+ years of related experience in the biotech/pharmaceutical industry

• Master’s degree in data science or related discipline and 2+ years of related experience in the biotech/pharmaceutical industry

• PhD in data science or related discipline and related experience in the biotech/pharmaceutical industry

• Strong knowledge and hands-on experience in neuroscience and drug discovery, with a focus on AI/ML and genomic research

• Has knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplines

• Works to improve tools and processes within functional area

• Developing reputation inside the company as it relates to area of expertise

• Ability to support or may lead multiple more complex projects and initiatives

• Exhibits ability to work as part of a team, may train lower levels

• Excellent computer skills

• 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

• Strong project management skills

• Ability to code in R/Python and establish best practices for reproducible data analyses

• Experience in TensorFlow/PyTorch, scikit-learn and transformer workflows

• Experience in command line and Linux environments

• Experience with cloud computing platforms and high-performance computing 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

• Extensive experience in integrating data from genetics, proteomics, single cell, transcriptomics, and molecular data to derive insights into indications and molecular mechanisms

• Must understand the underlying science and the "why" behind the data, not just the AI/ML tools

• 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 integrate and visualize multi-omics data, including single cell, proteomics, and transcriptomics

• Ability to develop or customize data analysis pipelines and algorithms

• Experienced in quality control measures and standard operating procedures to process sequencing data

• Competence in managing and analyzing complex datasets

• Familiar with current industry trends and best practices in data science

• Strong ability to lead and collaborate on cross-team projects and external initiatives

#LI

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.

_

The annual base salary we reasonably expect to pay is $101,200.00-$146,550.00. 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.