We’re on a mission to change the future of clinical research. At Perceptive, we help the
biopharmaceutical industry bring medical treatments to the market, faster.
Our mission is to change the world but to do this, we need people like you.
Department: Technology
Employment Type: Apprenticeship (12 Months)
Eligibility: Candidates registered on NATS portal; No Prior experience required
How to register through NATS portal?
Go to the official portal:
👉 NATS Student Registration Click on “Student Register / Enroll” Keep these details ready before starting:
- Aadhaar (for e-KYC)
- Mobile + Email (OTP verification)
- Degree/Provisional certificate (PDF)
- APAAR ID (now mandatory)
Fill basic details: Personal Info, Education Details, Bank details Verify OTP (mobile + email) Submit the form → you’ll get a login ID Login again and complete profile + e-KYC (Aadhaar verification is mandatory for eligibility & stipend).
Please ensure that you attach your NATS registration screenshot along with your resume while applying for the position.
Job PurposeAs a Software Engineering Apprentice under the NATS program, you will undergo structured on-the-job training for 12 months. You will work closely with experienced engineers and mentors to contribute to real-world projects and build foundational skills in software development, testing, and system support within the eClinical and Imaging Business Units. You will gain exposure to and build foundational skills in domain-specific platforms, modern tools, SDLC, programming, and AI/automation frameworks.Key Responsibilities- Participate in structured training modules and on-the-job learning assignments.
- Work under the guidance of assigned mentors/supervisors.
- Demonstrate learning agility, professionalism, and adherence to company policies.
- Collaborate with cross-functional teams to support project objectives.
- Work with programming tools and eClinical/Imaging systems.
- Support SDLC activities such as requirement gathering, documentation, testing, and deployment.
- Assist with guided coding in development, testing, debugging and validation activities.
- Support regression testing and issue tracking.
- Support development of scripts, workflows, and process optimization solutions
- Contribute to AI/automation initiatives using tools like Python, Selenium, or RPA platforms.
- Document processes, create reports, and maintain project logs.
- Participate in team meetings, code reviews, and knowledge-sharing sessions.
- Carries out any other reasonable duties as requested.
- Develop a strong understanding of the organization’s business model, clinical trial lifecycle, eClinical/Imaging platforms, tools, workflows, and standard operating procedures (SOPs).
- Build robust domain knowledge, technical capability, analytical thinking, and professional behaviour aligned with the business unit’s requirements.
- Effectively deliver assigned projects and tasks within defined timelines as part of the training program.
- Willingness to learn
- Time Management
- Analytical thinking
- Results orientation
- Cross-functional collaboration
- Graduates in Software Engineering, Computer Science or related faculties, eligible under NATS, with strong interest in learning and applying skills in a professional environment.
- Foundational certificate in AI/ML, JavaScript, Python, SQL or relevant certification.
- English: Fluent
Skills Required
- Graduate in Software Engineering, Computer Science, or a related field
- Eligible and registered under the NATS portal
- No prior experience required
- Foundational certification in AI/ML, JavaScript, Python, SQL, or a related area
- Fluent English
- NATS registration screenshot attached with resume
What We Do
Expanding on their combined 50-year history, Perceptive provides best-in-class specialist support to global pharmaceutical, biotech, and clinical research organizations, spanning the complete R&D lifecycle, from discovery and preclinical through clinical development to post marketing. Perceptive’s offerings include imaging biomarkers and core lab services, as well as innovative technologies in randomization and trial supply management (RTSM), analytics, and software.
