Data Associate | Machine Learning & Drug Discovery
Jobs via Dice
About the role
Dice is the leading career destination for tech experts at every stage of their careers. Our client, StaffRight Associates, LLC, is seeking the following. Apply via Dice today!
The Opportunity
StaffRight Associates is recruiting for a a premier computational research organization seeking a high-potential Data Associate for a specialized, two-year engagement. Sitting at the intersection of high-performance computing and life sciences, our client is redefining the boundaries of drug discovery. By leveraging specialized, custom-built supercomputing technology engineered to accelerate molecular dynamics simulations, they analyze biological systems at an atomic level of detail.
In this role, you will serve as a foundational pillar for a world-class machine learning team, transforming complex biological data into the fuel that drives breakthrough molecular innovation. If you are eager to apply your technical rigor to projects that hold the potential to redefine modern medicine, this role offers an unparalleled platform for growth.
What You’ll Do
• Engineer robust data pipelines to curate and refine massive scientific datasets essential for sophisticated machine learning models. • Architect organized data structures from a variety of disparate sources, ensuring seamless integration into the research workflow. • Champion data integrity by meticulously cataloging metadata and maintaining comprehensive provenance records to ensure every data point is traceable and discoverable. • Optimize data accessibility for computational scientists, enabling rapid iteration in the pursuit of novel therapeutic treatments. • Collaborate within a high-energy, multidisciplinary environment to support the deployment of proprietary supercomputing technologies and advanced simulation tools. • Execute complex data management tasks within a high-performance Linux infrastructure to maintain peak operational efficiency.
What You Bring
• Academic Excellence: A completed Bachelor’s degree in a STEM-related discipline is required. Candidates possessing an advanced degree, such as a Master’s or PhD, demonstrate a profound depth of technical expertise and an elevated capacity for high-level analytical inquiry. • Technical Proficiency: Demonstrated hands-on mastery of Linux environments and a functional command of Python and SQL for data manipulation. • Data Expertise: Proven experience managing high-volume, large-scale datasets and an understanding of how to structure information for maximum utility. • Attention to Detail: A disciplined approach to metadata management and a commitment to preserving accurate data lineages to facilitate discovery. • Collaborative Mindset: A desire to contribute to a positive, forward-thinking team culture that prizes innovation and collective problem-solving.
Working WIth StaffRight Associates
By joining StaffRight Associates for this New York City-based, hybrid opportunity, you are securing a position that offers a highly competitive base salary of $170,000–$210,000, supplemented by sign-on bonuses, year-end incentives, and premium benefits. We provide a structured, supportive pathway for emerging tech talent to make a global impact.
When you partner with StaffRight Associates in your search for your next role, you’re doing more than pursuing a job, you’re aligning yourself with a team of experts committed to placing top-tier talent in truly impactful positions.
We take pride in fostering professional growth and connecting forward-thinking individuals with organizations that value innovation and excellence. We look forward to showcasing your expertise in a way that resonates with our clients and opens the door to meaningful opportunities.
Requirements
- A completed Bachelor’s degree in a STEM-related discipline is required.
- Demonstrated hands-on mastery of Linux environments and a functional command of Python and SQL for data manipulation.
- Proven experience managing high-volume, large-scale datasets and an understanding of how to structure information for maximum utility.
- A disciplined approach to metadata management and a commitment to preserving accurate data lineages to facilitate discovery.
- A desire to contribute to a positive, forward-thinking team culture that prizes innovation and collective problem-solving.
Responsibilities
- Engineer robust data pipelines to curate and refine massive scientific datasets essential for sophisticated machine learning models.
- Architect organized data structures from a variety of disparate sources, ensuring seamless integration into the research workflow.
- Champion data integrity by meticulously cataloging metadata and maintaining comprehensive provenance records to ensure every data point is traceable and discoverable.
- Optimize data accessibility for computational scientists, enabling rapid iteration in the pursuit of novel therapeutic treatments.
- Collaborate within a high-energy, multidisciplinary environment to support the deployment of proprietary supercomputing technologies and advanced simulation tools.
- Execute complex data management tasks within a high-performance Linux infrastructure to maintain peak operational efficiency.
Benefits
Skills
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