Medsoft develops premium software solutions and provides scalable engineering services, through a team of highly talented top-of-their class engineers. Medsoft provides solutions to companies in the Healthcare, Industrial and automation domains. We cater to clients in USA, Europe, and the Middle East.

 We best serve clients who are looking for engineering solutions developed in a quality-controlled environment. Our core values are Integrity, Agility, holistic communication, Innovation, Diversity and Quality.

Our engineers are experts in computer vision, image processing, RT object tracking, object recognition, segmentation, AI, deep learning, machine learning, 2D & 3D graphics & visualization including open GL, VTK, Graphical User Interface GUI, design and development of UI/UX, QT and CAD. Our team members use multiple programing languages including C, C++, Python, C# and Java and are very well versed in multithreading.

Medsoft provides a family-like environment to all our team members, through a culture of ownership and fairness. We heavily invest in our human assets. Our teams participate in decision making duties, while sharing a strong foundation of unity and trust. This approach gives Medsoft an edge over competition, through attracting and retaining high-performing developers.

In today’s highly digitized world, Medsoft provides companies with access to top of the class engineers. Our goal is to support our customers through improved efficiencies. We help our clients mitigate business risks by delivering quality products on time, while following an agile development process. We do not compromise on security. We protect our clients’ intellectual property and technology proprietaries.

In short, Medsoft is your reliable and professional partner for software solutions!

We are building a team of highly qualified personnel and we offer excellent remuneration packages with a huge potential for learning and growth.

Salaries and benefits are based on experience. 

Benefits would include:

Family Medical Insurance

School Allowances

Life Insurance

Quarterly Bonus

Retirement insurance program

Will be responsible for accurately labeling and annotating large medical datasets to support the development and improvement of machine learning models.

Key Responsibilities:

• Accurately annotate and label large volumes of data according to specified guidelines.
• Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
• Collaborate with team members to address and resolve any annotation discrepancies or issues.
• Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
• Collaborate with team members to address and resolve any annotation discrepancies or issues.
• Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
• Collaborate with team members to address and resolve any annotation discrepancies or issues.
• Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
• Collaborate with team members to address and resolve any annotation discrepancies or issues.
• Maintaining confidentiality of data and adhering to data security protocols.

• Bachelor’s degree in a relevant field (Computer Science, Bioinformatics, Bio-Medical Engineering, Science “Biophysics, Biotechnology, Biochemistry” etc.) or equivalent practical experience.
• Strong attention to detail and the ability to maintain accuracy while working with large datasets.
• Familiarity with data annotation tools and software.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• A good understanding of basic machine learning & computer vision concepts is a plus.

Preferred skills:

• Medical Data Annotation/labelling/Segmentation.
• Programming skills in languages such as Python or familiarity with scripting languages.
• Previous experience in a similar role or in the field of machine learning and artificial intelligence.
• Previous experience in CT-Scans Segmentation/Annotation/Labelling.