Job Description:
• We are seeking a highly skilled and motivated Structural Biologist to join our drug
discovery programs. The ideal candidate will bring deep expertise in
macromolecular structure determination and modeling, with a focus on elucidating
protein structures, analyzing ligand binding, and driving rational drug design in
collaboration with computational and medicinal chemistry teams.
Key Responsibilities:
• Analyze protein-ligand interactions to inform medicinal chemistry and lead
optimization efforts.
• Conduct molecular dynamics (MD) simulations and free energy calculations to
evaluate complex stability and binding energetics.
• Apply structural insights to guide hit-to-lead and lead optimization strategies.
• (Preferred) Utilize machine learning models to support binding site prediction or
compound prioritization.
Required Skills & Experience:
• Strong expertise in structural biology techniques, such as crystallography, cryo-
EM, or NMR are desirable.
• Proficient in macromolecular modeling and structure refinement tools (e.g.,
Phenix, Coot, Chimera, PyMOL).
• Experience with protein-ligand docking, structure validation, and interaction
mapping.
• Hands-on experience with molecular dynamics simulations using tools such as
GROMACS, AMBER, NAMD, or CHARMM.
• Familiarity with structure-based drug design platforms (e.g., Schrödinger,
AutoDock).
• Scripting or programming experience (Python, R, Bash) for workflow automation and
structural data analysis.
Preferred Qualifications:
• Ph.D. in Structural Biology, Biophysics, Computational Biology or related field.
• Demonstrated experience in drug discovery pipelines, especially in target
validation and lead optimization.
• (Preferred) Background in machine learning or AI applied to biomolecular structure
or ligand interaction prediction.
• Strong publication record or demonstrated project impact in therapeutic
development.
What We Offer:
• Work on high-impact, discovery-stage therapeutic programs.
• Collaborative and interdisciplinary research environment.
• Access to state-of-the-art computational and structural biology platforms.
Read LessJob Title:
Robotics Engineer - Humanoid & Autonomous.
Department:
Robotics Research & Development (R&D)
Location:
Vapi, Gujarat
Reports To:
Manager / Senior Manager - Robotics R&D
Job Purpose:
To design, simulate, develop, and deploy intelligent humanoid robots and autonomous mobile robotic systems (AGV/AMR) for industrial automation and warehouse environments. The role focuses on robot dynamics, control systems, perception, reinforcement learning, Sim2Real transfer, and ROS2-based system integration, bridging advanced robotics research with real-world industrial deployment.
Key Responsibilities:
1. Humanoid & Mobile Robot Development
• Develop and optimize humanoid robot control algorithms for bipedal locomotion, balance, manipulation, and interaction.
• Design AGV/AMR navigation and motion control systems, including waypoint tracking, obstacle avoidance, and dynamic path planning.
• Implement Whole-Body Control (WBC), ZMP / DCM-based walking control, and advanced manipulation strategies.
• Integrate torque-controlled actuators, BLDC motors, and servo systems for stable and reliable robot operation.
2. Simulation, Learning & Sim2Real Deployment
• Create and manage robotic simulation environments using Gazebo, Isaac Sim, Isaac Gym, MuJoCo, Webots, and PyBullet.
• Develop physics-based simulation models, including rigid-body dynamics and contact modeling.
• Implement Sim2Real transfer techniques, including domain randomization, dynamics parameter identification, and real-world fine-tuning.
• Develop and train reinforcement learning policies (PPO, SAC, DDPG) for locomotion, manipulation, and navigation tasks.
3. Perception, SLAM & Sensor Fusion
• Design and integrate multi-sensor perception pipelines using IMU, LiDAR, depth cameras, stereo vision, and force/torque sensors.
• Implement sensor fusion and state estimation using EKF/UKF and backend optimization techniques.
• Develop SLAM and localization frameworks for autonomous navigation in structured and semi-structured environments.
• Apply computer vision algorithms (object detection, pose estimation, terrain classification) for robot perception and interaction.
4. Control Systems & Motion Planning
• Design and tune PID, MPC, and optimization-based controllers for real-time robotic control.
• Implement trajectory generation and motion planning algorithms, including A , Hybrid-A , DWA, TEB, and MPC-based planners.
• Ensure real-time control loop execution (500 Hz-1 kHz) on Linux / RT-enabled systems.
• Optimize energy efficiency, robustness, and motion stability.
5. Software Architecture & System Integration
• Develop ROS / ROS2-based distributed robotic systems, including motion planning, communication, and monitoring nodes.
• Integrate MoveIt / MoveIt2 for manipulation and motion planning.
• Develop real-time critical modules in C++ and learning / tooling pipelines in Python.
• Manage builds, deployment, and testing using CMake, colcon, Docker, and version control systems (Git/GitHub/GitLab).
6. Embedded Systems & Hardware Integration
• Interface with embedded controllers and computing platforms (STM32, ESP32, NVIDIA Jetson, Raspberry Pi).
• Implement embedded communication protocols including CAN, EtherCAT, UART, SPI, and I2C.
• Perform hardware bring-up, motor tuning, sensor calibration, and closed-loop validation.
• Implement safety mechanisms, fault detection, and emergency handling for physical robotic systems.
7. Documentation, Testing & Continuous Improvement
• Maintain technical documentation, simulation reports, and deployment logs.
• Conduct unit testing, system testing, and real-world validation of robotic systems.
• Capture deployment data and user feedback to improve algorithm performance and system reliability.
• Contribute to modular software frameworks and reusable robotics components.
8. Cross-Functional Collaboration
• Collaborate with mechanical, electronics, firmware, AI, and systems engineering teams.
• Support internal product validation, field trials, and pilot deployments.
• Provide technical inputs for roadmap planning, feasibility studies, and next-generation robotic platforms.
Qualifications and Experience:
• B.Tech / B.E. in Robotics & Automation, Mechatronics, Computer Science Engineering, or Electronics & Communication Engineering.
• 3-4 years of hands-on experience in core robotics development (humanoid robots, AGV/AMR, or advanced robotic platforms).
• Proven experience working with physical robots, including Sim2Real deployment.
• Strong foundation in robot kinematics, dynamics, control systems, and perception.
Skills and Competencies:
• Strong proficiency in C++ and Python for robotics development.
• Hands-on experience with ROS / ROS2, MoveIt, Gazebo, Isaac Sim, MuJoCo.
• Experience with reinforcement learning frameworks and physics-based simulation.
• Solid understanding of sensor fusion, SLAM, and motion planning.
• Strong analytical, debugging, and system-level thinking skills.
• Excellent technical documentation and communication abilities.
• Ability to work effectively in multidisciplinary R&D environments.
Key Performance Indicators (KPIs):
• Stability and performance of humanoid and mobile robot control systems
• Successful Sim2Real transfer and real-world deployment outcomes
• Reliability and accuracy of navigation, perception, and control modules
• Reduction in system failures and debugging cycles
• Quality of documentation, testing, and reusable software components
• Contribution to product readiness and industrial deployment success
Read LessJob Title: Manager - Service Engineering
Department: Service / Technical Support
Location: Vapi, Gujarat
Reporting To: Head - Service / Operations
Job Purpose:
To lead and manage the Service Engineering team for radiology/imaging systems at the Vapi location, ensuring efficient installation, maintenance, troubleshooting, and customer support. The role focuses on maximizing equipment uptime, enhancing customer satisfaction, and driving service excellence.
Key Responsibilities:
Lead and manage the Service Engineering team based in Vapi and support PAN India operations as required.Oversee installation, commissioning, and validation of radiology/imaging equipment.Ensure timely preventive and corrective maintenance of all deployed systems.Handle complex technical issues, perform root cause analysis, and implement corrective actions.Monitor and drive service KPIs such as uptime, response time, and resolution time.Develop and implement service strategies, SOPs, and best practices.Coordinate with R&D, Production, and Quality teams for continuous product and service improvements.Manage AMC/CMC contracts, spare parts inventory, and service logistics.Provide technical training and mentoring to service engineers.Ensure compliance with medical device regulations and safety standards.Build and maintain strong customer relationships with hospitals and diagnostic centers.Prepare and present MIS reports, service analytics, and performance dashboards to management.Key Skills & Competencies:
Strong knowledge of radiology/imaging systems (X-ray, C-arm or similar equipment).Hands-on expertise in electrical, electronics, and medical device servicing.Proven team leadership and people management skills.Strong analytical and problem-solving capabilities.Excellent communication and customer-handling skills.Ability to manage multiple priorities in a fast-paced environment.Familiarity with regulatory standards (ISO, CDSCO, FDA - preferred).Educational Qualification:
Bachelor's / Master's in Biomedical Engineering / Electronics / Electrical EngineeringExperience:
5-10 years of experience in service engineering within medical devices / radiology equipmentMinimum 3-5 years in a leadership/managerial roleAdditional Requirements:
Based in or willing to relocate to VapiWillingness to travel across India as per business needsExperience with ERP/CRM systems for service trackingKey Performance Indicators (KPIs):
Equipment uptime (%)Service response & resolution timeCustomer satisfaction score (CSAT)AMC/CMC revenue & renewalsFirst-time fix rate (FTFR) Read LessJob Title:
Engineer - Production
Department:
Manufacturing
Location:
Vapi, Gujarat
Reports To:
Manager / Senior Manager - Manufacturing
Job Purpose:
To ensure efficient and compliant plastic manufacturing operations for medical devices by managing production planning, process execution, material control, and vendor coordination across injection moulding, extrusion, and thermoforming processes in line with GMP and ISO 13485 requirements.
Key Responsibilities:
1. Production Planning & Execution
• Plan and execute daily production schedules to achieve output targets.
• Ensure production adherence to approved plans and delivery timelines.
• Monitor machine utilization and drive productivity improvements.
• Coordinate manpower allocation for smooth shop-floor operations.
• Minimize downtime through effective planning and coordination.
2. Material Planning & Inventory Control
• Maintain and update daily raw material status reports.
• Ensure availability of materials as per production requirements.
• Plan and maintain optimum inventory levels aligned with customer demand.
• Coordinate with SCM for timely procurement and replenishment.
3. Process Management (Moulding & Extrusion)
• Operate and optimize injection moulding, extrusion, and thermoforming processes.
• Ensure process stability for medical-grade plastic components.
• Handle micro-moulding operations for precision components.
• Monitor process parameters and ensure consistent product quality.
• Support process validation and continuous improvement initiatives.
4. Cleanroom & Regulatory Compliance
• Ensure operations in cleanroom environments (Class 100K to 10K) as per protocols.
• Maintain compliance with GMP and ISO 13485 standards.
• Support adherence to biocompatibility requirements (USP Class VI, ISO 10993).
• Ensure compliance with sterilization processes (ETO, Gamma) where applicable.
5. Quality Coordination & Process Control
• Coordinate with QA for in-process and final inspections.
• Identify and address process deviations and non-conformances.
• Support implementation of corrective and preventive actions (CAPA).
• Ensure adherence to technical drawings, tolerances, and specifications.
6. Vendor Management & Development
• Develop and manage suppliers for polymers, moulds, and consumables.
• Conduct vendor audits and performance evaluations.
• Ensure quality and consistency of incoming materials.
• Identify and maintain alternate suppliers for critical materials.
7. Documentation & Reporting
• Maintain production records in line with ISO 13485 documentation requirements.
• Ensure accurate reporting of production output, material usage, and process parameters.
• Support traceability and batch record maintenance.
• Participate in internal and external audits.
8. Continuous Improvement & Productivity Enhancement
• Identify opportunities for process optimization and cost reduction.
• Drive initiatives to improve OEE, yield, and cycle time.
• Support new product introduction (NPI) and scale-up activities.
• Implement best practices for lean manufacturing and waste reduction.
Qualifications and Experience:
• Bachelor's degree in mechanical / production (CIPET preferred).
• 3-5 years of experience in plastic manufacturing / injection moulding operations.
• Experience in medical device or regulated manufacturing environment preferred.
Skills and Competencies:
• Strong knowledge of injection moulding, extrusion, and thermoforming.
• Hands-on experience with medical-grade polymers (PP, PE, PTFE, PS, PC).
• Ability to read technical drawings and understand tolerances.
• Understanding of cleanroom operations and contamination control.
• Knowledge of GMP, ISO 13485, and regulatory compliance.
• Exposure to sterilization methods (ETO, Gamma).
• Strong planning, coordination, and problem-solving skills.
• Good communication and cross-functional collaboration ability.
Key Performance Indicators (KPIs):
• Achievement of daily and monthly production targets.
• Improvement in OEE, productivity, and machine utilization.
• Reduction in process defects and rejections.
• Accuracy of material planning and inventory control.
• Compliance with GMP, ISO 13485, and audit requirements.
• Effectiveness in vendor management and material quality.
• Contribution to continuous improvement and cost optimization initiatives.
Read Less