Research Associate - Computational Biology & Genomics

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision insurance

Retirement plan

Tuition benefits

Paid time off

Holidays

Life & AD&D

Bus pass

Family Concierge

Fitness center

Job summary

Carnegie Mellon University is seeking a Research Associate in the Lane Computational Biology Department to support development and execution of research projects, including experiment design, data analysis, and reporting results. You will input, manipulate, and record results using various software tools and maintain detailed records.

The role involves collaborating across computer science, biology, and statistics, presenting findings, and possibly programming software to support project needs.

Qualifications

• Bachelor’s degree required.
• 1–3 years of research experience.
• Strong communication, analytical and problem-solving skills.

Responsibilities

• Uses a variety of software packages to input, manipulate, collect and record results or observations.
• Performs research experiments following experimental protocol and procedures.
• Researches and documents information by compiling and maintaining accurate and detailed records.
• Summarizes statistical information for analysis, examination or presentation; writes technical reports.
• May build and validate quantitative models.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions.
• Attends project meetings.
• Performs related duties as assigned.

Skills

Communication

Analytical skills

Problem-solving

Teamwork

Education

Bachelor's degree

Tools

Programming

Job description

Carnegie Mellon University is seeking a Research Associate in the Lane Computational Biology Department to support development and execution of research projects, including experiment design, data analysis, and reporting results. You will input, manipulate, and record results using various software tools and maintain detailed records.

The role involves collaborating across computer science, biology, and statistics, presenting findings, and possibly programming software to support project needs.