Junior Developer – Scientific & Data Applications (m/f/d) at QIMA

Münster, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, Software Development, Data Visualization, UI Design, R, API Handling, Database Handling, Bioinformatics, Problem Solving

Industry

International Trade and Development

Description

Company Description At QIMA, we are on a mission to offer our clients services they can trust. Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence. Our QIMA Life Sciences Division brings together a network of laboratories, including QIMA Monasterium. QIMA Life Sciences is a key player in contract research for the cosmetics, nutraceutical, dermatology, pharmaceutical, and biotech sectors. With over 10.000 m² of lab space across Europe and South America, we offer comprehensive services in bio-prediction, preclinical efficacy evaluation, and clinical trials. QIMA Monasterium is based in Münster, Germany, and specializes in pre-clinical and clinical services in dermatology for therapeutics, cosmeceutical, and nutraceutical applications, offering among other clinically relevant ex vivo and in vivo pre-clinical models and state-of-the-art techniques. We are seeking a team-orientated and highly motivated Junior Developer (m/f/d) to join the QIMA Monasterium team in Münster, Germany. This is a unique opportunity for an early-career developer or digital solutions specialist passionate about technology and eager to gain practical experience in a real-world, interdisciplinary environment. Job Description As a junior-level developer, you will have the opportunity to work closely with our experienced data science & IT team and to support the design and implementation of internal applications, gaining hands-on experience at the interface of experimental science, bioinformatics, and data-driven application development. This role is designed to provide you with valuable real-world experience in a supportive and collaborative environment. The tasks required to be undertaken include: Develop simple, practical apps (web or desktop) to support lab workflows and data analysis Collaborate closely with Data Scientists, AI Engineers, and other team members to understand data requirements and translate them into usable tools Maintain and improve existing internal tools Contribute and document clean, well-structured, and maintainable code Qualifications Good knowledge of written and spoken English First experience in programming (e.g. Python, JavaScript, or similar) Basic understanding of software development principles Interest in applied science, data, or bioinformatics Structured and pragmatic working style Willingness to learn and grow within a small, interdisciplinary team Nice to have Experience with data visualization or UI design Familiarity with R, APIs, or database handling Exposure to scientific or biomedical environments Excellent problem-solving skills and a willingness to take on new challenges The ability to prioritize work to meet tight deadlines Additional Information Stable employment in a growing and future-oriented industry with a dynamic and international team Hands-on experience with real-world projects, immediate impact and technical challenges A small, focused team with short decision paths in a collaborative environment where your ideas matter Mentorship and continuous learning opportunities Flexible working hours within team/project requirements (flexible working hours with core hours) A corporate culture that values respect, diversity, and social responsibility Company pension scheme Additional benefits: company bonuses and access to corporate benefits (employee discounts with numerous providers) Department: IT Workplace Type: Onsite City: Munster (Westf)

Responsibilities

Develop web or desktop applications to support laboratory workflows and data analysis. Collaborate with data scientists and AI engineers to translate data requirements into usable internal tools.