24.12.03 TTU Post Doctoral Research Associate, Texas Tech University, Lubbock, TX

The Computational Chemistry List; Lubbock (TX); On-site; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Post Doctoral Research Associate to contribute to groundbreaking research in machine learning and bioinformatics. This role involves applying advanced techniques in molecular docking and dynamics simulations while collaborating with experts at the Human Molecular Aging Center. The ideal candidate will have a PhD and a passion for innovative research, with opportunities for professional development and mentoring. Join a vibrant research community dedicated to addressing complex biological challenges and advancing scientific knowledge in a supportive environment.

Qualifications

• PhD required with expertise in machine learning and bioinformatics.
• Strong knowledge of modern research practices and methodologies.

Responsibilities

• Conduct original research and supervise research assistants.
• Collaborate on interdisciplinary research and problem-solving.

Skills

Machine Learning

Scientific Machine Learning

Bioinformatics

Pattern Recognition

Multi-scale Simulations

Statistical Sampling

Molecular Docking

Molecular Dynamics

Force Field Parameterization

Quantum Mechanical Calculations

Education

PhD in area of project specialization

Job description

Job Title: Post Doctoral Research Associate

Location: Texas Tech University, Lubbock, TX

Position Description:

Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants.

Major/Essential Functions:

1. Research and Analysis: Apply expertise in Machine Learning, Scientific Machine Learning, Bioinformatics, Pattern Recognition, Multi-scale Simulations, and Statistical Sampling to advance research projects. Conduct molecular docking and molecular dynamics simulations of biomolecular systems. Perform force field parameterization and enhanced sampling free energy calculations (e.g., free energy perturbation, umbrella sampling, metadynamics). Utilize quantum mechanical calculations (DFT, QM/MM) to support research objectives.
2. Collaboration: Work closely with researchers at the Human Molecular Aging Center to address mathematical modeling and analysis challenges related to biological systems. Engage in collaborative problem-solving and interdisciplinary research efforts.
3. Professional Development: Participate in professional development, mentoring and training opportunities. Contribute to cutting-edge research projects, including grant writing and research dissemination. Engage in collaborative learning and sharing of research findings.

Required Qualifications:

1. PhD in area of project specialization.
2. Knowledge of modern research practices, the methods, resources, and standards thereof.
3. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities.
4. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes.
5. Ability to establish and maintain effective work relationships with other employees and the public.
6. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.

Preferred Qualifications:

1. Machine Learning, Scientific Machine Learning, Bioinformatics, Pattern Recognition, Multi-scale Simulations, and Statistical Sampling, molecular docking and molecular dynamics, force field parameterization, quantum mechanical calculations.

To apply: Visit this link.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information or status as a protected veteran.