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Protein Crystallography Jobs (NOW HIRING)

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Protein Crystallography information

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How much do protein crystallography jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for protein crystallography in the United States is $37.89, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $47.60 per hour, depending on experience, location, and employer.

What is protein crystallography?

A Protein Crystallography job involves determining the 3D structures of proteins using X-ray crystallography or cryo-electron microscopy. Scientists in this role grow protein crystals, collect diffraction data, and analyze molecular structures to understand protein function. These insights are critical for drug design, enzyme engineering, and fundamental biological research. Positions are typically found in academia, pharmaceuticals, and biotechnology companies. Strong skills in structural biology, biochemistry, and computational modeling are often required.

What are the main challenges faced in a protein crystallography role, and how can they be addressed?

One of the primary challenges in Protein Crystallography is obtaining high-quality protein crystals, as this process often requires extensive optimization and troubleshooting. Additionally, interpreting diffraction data and solving complex protein structures can be time-consuming and may involve overcoming technical hurdles. Collaborating closely with colleagues in molecular biology, bioinformatics, and computational chemistry is essential for success. Staying persistent and adaptable, and seeking mentorship from experienced team members, can help navigate these challenges and lead to successful outcomes in structural biology projects.

What are the key skills and qualifications needed to thrive in protein crystallography, and why are they important?

To thrive in Protein Crystallography, you need expertise in molecular biology, protein purification, crystallization techniques, and structural biology, typically supported by an advanced degree in biochemistry or a related field. Familiarity with X-ray diffraction equipment, data analysis software (such as CCP4, Phenix, or Coot), and lab management systems is essential. Attention to detail, problem-solving abilities, and strong collaboration skills are key soft skills for effective research and teamwork. These competencies ensure accurate structural analysis, smooth laboratory operations, and valuable contributions to scientific discovery.

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Infographic showing various Protein Crystallography job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $78,821 per year, or $37.9 per hour.

Engineer- Embodied AI Lab Automation: Vision-Guided Real Time Robotic Manipulation

Brookhaven National Laboratory

Manhattan, NY • On-site

$71.90 - $119/hr

Other

Posted yesterday

New


Job description

## Engineer– Embodied AI Lab Automation: Vision-Guided Real Time Robotic ManipulationApplylocations: Upton, NYtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR102534Brookhaven National Laboratory’s National Synchrotron Light Source II (NSLS-II) is seeking an engineer to develop an automated protein crystal harvesting system at the Center for BioMolecular Structure (CBMS).***This position is a 2-year term, with the possibility of renewal contingent on performance and funding availability***The successful candidate will develop vision-guided robotic manipulation capabilities for detecting, tracking, and harvesting fragile micron-scale protein crystals suspended in liquid droplets. Working closely with a multidisciplinary team of crystallographers, beamline scientists, controls engineers, mechanical engineers, and data scientists, the candidate will help integrate computer vision, machine learning, and robotic manipulation into an automated crystal harvesting platform.This is a hands-on role centered on building and deploying closed-loop perception, visual servoing, and robotic control systems in a real laboratory environment. The position offers the opportunity to advance machine vision, robotic manipulation, and embodied AI techniques while addressing a scientifically impactful problem in structural biology.**Essential Duties and Responsibilities:*** Develop and implement vision-guided real-time robotic manipulation methods for crystal harvesting* Design and deploy closed-loop perception and control pipelines using visual feedback* Contribute to vision-based servoing approaches for precise, real-time positioning* Integrate perception outputs with motion planning and execution using ROS2 and MoveIt2* Perform system calibration (e.g., hand-eye calibration, camera calibration) to ensure accurate 3D spatial alignment* Evaluate and improve system robustness, including perception uncertainty and failure modes* Collaborate closely with domain experts across crystallography, controls, and engineering* Participate in system testing, tuning, and performance evaluation* Document methods and results; contribute to reports, publications, and presentations**Required Knowledge, Skills, and Abilities:*** B.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering or a related field* Demonstrated experience developing and implementing robotics systems.* Strong programming skills in Python and/or C++* Knowledge of robotic systems: + Robot kinematics and coordinate transformations + Motion planning and trajectory generation. + Calibration methods**Preferred Knowledge, Skills, and Abilities:*** M.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering or a related field* Experience developing robotic systems that integrate vision-guided control in real-world settings* Experience working with ROS2-based ecosystems* Experience with camera calibration, hand-eye calibration, and coordinate frame registration* Experience integrating machine learning models into robotics* Familiarity with: + Micro-Manipulation + Sensor fusion or state estimation + Real-time system debugging and performance tuning**What Success Looks Like:*** Development of a system capable of reliably detecting and localizing protein crystals* Implementation of closed-loop robotic manipulation using visual feedback* Improved robustness and reliability of the crystal harvesting process under real-world conditions**Additional Information:*** This is an on-site position based at Brookhaven National Laboratory in Upton, New York.**Other Information:*** Candidates should submit a brief cover letter outlining how their experience and career goals are suitable for the position* Candidates must have completed all degree requirements by the commencement of employment* Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. This is a multi-level role and the full salary range for this position is $71,900-$119,000 / year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. #J-18808-Ljbffr