ClinLab Solutions Group
Scientific Recruiter focusing in NJ, PA, and DE
Position Description
Our client is seeking a data scientist to help lead the development of their digital solution. This individual should have domain expertise in computational science, including but not limited to:
Computational biology, computational chemistry, computational physics/mechanics, materials modeling and simulation.
As one of the earliest scientific hires, this individual will design computational frameworks that integrate numerical simulation, materials modeling, data analysis, and machine learning.
This role includes significant scientific ownership, the opportunity to serve as the Principal Investigator (PI) on a federal commercialization grant (NSF), and direct influence over the company’s technical direction, modeling strategy, and research roadmap.
Required Qualifications
Ph.D. in Biomedical or Chemical Engineering, Materials Science, Biology, Chemistry, or other relevant areas
Domain expertise in computational science, including but not limited to:
Computational Biology & Chemistry
Computational Physics & Mechanics
Materials Modeling & Simulation
Experience with software development in C/C++, Python, or other programming languages
Strong background in numerical analysis and optimization
Self-motivated individual who is enthusiastic about defining problems and exploring new ideas in a startup setting
Optional Qualifications
Experience with data science and machine learning tools and frameworks (e.g., AWS/other cloud services, PyTorch, TensorFlow, etc.)
Industry experience
Work Context
This role is primarily computer-based and involves developing computational models, running simulations, and collaborating with a multidisciplinary team of engineers, scientists, and clinical advisors. The environment is fast-paced and research-driven, with high autonomy and regular communication of scientific findings to both technical and non-technical stakeholders.
Work takes place in a hybrid office/lab setting within a state-of-the-art accelerator space, with occasional interactions in lab or device development areas following standard safety practices. Decisions made in this role have significant impact on research direction, material design, and grant milestones, and the work includes a mix of routine computational tasks and complex, open-ended scientific challenges typical of an early-stage stages.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Science and Research
Charlottesville, VA $98,500.00-$206,800.00 1 month ago
#J-18808-Ljbffr
Our client is seeking a data scientist to help lead the development of their digital solution. This individual should have domain expertise in computational science, including but not limited to:
Computational biology, computational chemistry, computational physics/mechanics, materials modeling and simulation.
As one of the earliest scientific hires, this individual will design computational frameworks that integrate numerical simulation, materials modeling, data analysis, and machine learning.
This role includes significant scientific ownership, the opportunity to serve as the Principal Investigator (PI) on a federal commercialization grant (NSF), and direct influence over the company’s technical direction, modeling strategy, and research roadmap.
Required Qualifications
Ph.D. in Biomedical or Chemical Engineering, Materials Science, Biology, Chemistry, or other relevant areas
Domain expertise in computational science, including but not limited to:
Computational Biology & Chemistry
Computational Physics & Mechanics
Materials Modeling & Simulation
Experience with software development in C/C++, Python, or other programming languages
Strong background in numerical analysis and optimization
Self-motivated individual who is enthusiastic about defining problems and exploring new ideas in a startup setting
Optional Qualifications
Experience with data science and machine learning tools and frameworks (e.g., AWS/other cloud services, PyTorch, TensorFlow, etc.)
Industry experience
Work Context
This role is primarily computer-based and involves developing computational models, running simulations, and collaborating with a multidisciplinary team of engineers, scientists, and clinical advisors. The environment is fast-paced and research-driven, with high autonomy and regular communication of scientific findings to both technical and non-technical stakeholders.
Work takes place in a hybrid office/lab setting within a state-of-the-art accelerator space, with occasional interactions in lab or device development areas following standard safety practices. Decisions made in this role have significant impact on research direction, material design, and grant milestones, and the work includes a mix of routine computational tasks and complex, open-ended scientific challenges typical of an early-stage stages.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Science and Research
Charlottesville, VA $98,500.00-$206,800.00 1 month ago
#J-18808-Ljbffr