Senior Research Scientist (PhD)

As a Senior Research Scientist (PhD) at NYU Grossman School of Medicine, you'll conduct cutting-edge research utilizing genomic large language models (LLMs) to analyze biological sequences and genetic mutations. Key responsibilities include analyzing large-scale genetic datasets, collaborating with team members, and contributing to research publications and grant proposals, all aimed at driving innovative research in the field.

To qualify for the Senior Research Scientist (PhD) role at NYU Grossman School of Medicine, candidates must possess expertise in computational biology, particularly in genomic and genetic data analysis, along with a background in machine learning. Collaborative skills and excellent communication abilities are essential. Preferred qualifications include experience with large-scale genetic datasets and proficiency in Python, Linux, and deep learning algorithms.

A Senior Research Scientist at NYU Grossman School of Medicine will work on various fascinating projects, including incorporating variant effect prediction in statistical genetics, enhancing genome-wide association studies with genomic LLMs, and applying AI models to identify genetic effects. This role will also involve optimizing genomic sequences to maximize therapeutic outcomes for specific genetic backgrounds.

At NYU Grossman School of Medicine, equity, diversity, and inclusion are foundational values. They are committed to creating an environment where exceptionally talented individuals from diverse backgrounds can thrive. The institution strives to support all identities, ensuring that a collaborative mindset and a culture of inclusivity are prioritized in the workplace.

The salary range for the Senior Research Scientist (PhD) position at NYU Grossman School of Medicine is $85,000.00 to $120,000.00 annually. This range depends on various factors, including the candidate's experience, specialty, education, and hospital needs, making it a competitive offering in the field.

When answering this question, focus on specific projects where you've successfully analyzed genomic data. Highlight the tools and methods used, such as large language models or machine learning techniques, and explain your role in extracting meaningful insights from complex datasets.

Discuss your experience with various AI models, particularly in the context of genomics, such as deep learning or transformers. Provide examples of how you've implemented these models to achieve research objectives, specifying any relevant results or findings.

Describe your collaborative approach by emphasizing communication, respect for diverse opinions, and your commitment to achieving common goals. Share examples of successful collaborations and how you navigated challenges to enhance teamwork.

Detail your experience with high-throughput experimental data analysis methods such as single-cell RNA sequencing. Explain your familiarity with relevant tools, any software you’ve used, and the outcomes of your analyses to demonstrate your expertise.

Talk about your strategies for staying updated on current advancements, such as attending conferences, reading scientific literature, or participating in professional networks. Highlight how you incorporate new findings into your current research to maintain relevance in a rapidly evolving field.

Share an example of a specific challenge you faced in data interpretation, discussing how you approached problem-solving and what resources or methodologies you utilized to overcome the obstacle while maintaining research integrity.

Discuss your driving motivations for pursuing research in genomics, such as a desire to improve human health or curiosity about genetic mechanisms. Share how you express this passion through your work, speaking engagements, or mentoring.

Explain your time management techniques, such as setting milestones, using project management tools, and maintaining open communication with team members. Provide an example of how you successfully balanced multiple projects without sacrificing quality.

Describe a successful project by outlining the objectives, methodology, and results. Emphasize your role in leading the project and the positive impact it had on your team or the broader research community to illustrate your leadership abilities.

Discuss your philosophy on mentorship and how it has influenced your research environment. Provide examples of how you cultivate growth in junior researchers or students through guidance, sharing knowledge, and creating opportunities for learning.