Research Associate (Lugo-Martinez Lab) - CBD - School of Computer Science
Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce talented alumni and draw faculty and staff eager to be a part of the university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration.
The Ray and Stephanie Lane Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer science, biology, and statistics to address complex biological questions. Their work spans diverse areas including genomics, bioinformatics, systems biology, and computational neuroscience, driving innovation at the intersection of computation and life sciences.
We are searching for a Research Associate. The position will assist in the development and execution of (automated) experimental protocol, analysis of data collected and writing up experiment results.
Core Responsibilities
- Working with and analyzing biological data
- Developing data
- Implementing experimental protocols and documenting research
- Conducting literature reviews to stay updated on the latest methodologies in biomolecular condensates
Flexibility, excellence, and passion are vital qualities within CMU. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications
- Bachelor's Degree in Computational Biology, Computer Science or a related discipline; Master's Degree preferred
- 1 year of hands-on experience in working with biological data
- A combination of education and meaningful experience from which comparable knowledge is demonstrated may be considered.
Requirements
- Successful background investigation may be required.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PAJob Function
ResearchersPosition Type
Staff – Fixed Term (Fixed Term)Full Time/Part time
Part timePay Basis
HourlyMore Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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