Jobgether تعلن عن وظيفة مطور R مع خلفية علوم الحياة في السعودية
R Developer with Life Science Background
🏢 Jobgether
تفاصيل الوظيفة
Jobgether تعلن، بالنيابة عن شركة شريكة، عن توفر وظيفة R Developer with Life Science Background في السعودية. تقع هذه الوظيفة على تقاطع هندسة البرمجيات، علوم البيانات، وعلوم الحياة، مع التركيز على بناء تطبيقات متقدمة بلغة R تدعم الأبحاث الحيوية في مجالات مثل اكتشاف الأدوية، التجارب السريرية، والتحليلات الطبية الحيوية.
المهام والمسؤوليات
- تصميم وتطوير وصيانة تطبيقات عالية الجودة بلغة R و Shiny لدعم سير عمل تحليل البيانات الحيوية والسريرية.
- معالجة وتحليل وتصور مجموعات بيانات معقدة في علوم الحياة، مع ضمان الدقة، قابلية التكرار، وسهولة استخدام المخرجات.
- بناء وصيانة حزم R قابلة لإعادة الاستخدام ومكونات معالجة بيانات لدعم حلول التحليلات القابلة للتوسع.
- التعاون مع العلماء، المتخصصين في المعلوماتية الحيوية، وأصحاب المصلحة لجمع المتطلبات وترجمتها إلى حلول تقنية.
- تطوير وتحسين أدوات تصور البيانات التفاعلية لدعم البحث واتخاذ القرارات السريرية.
- العمل مع أنظمة التحكم بالإصدارات مثل Git لإدارة التطوير التعاوني وجودة الكود.
- المساهمة في مناقشات تصميم الأنظمة، تحسين قائمة المهام المتراكمة، والتطوير المستمر لممارسات التطوير.
- دعم نشر وصيانة تطبيقات البيانات الإنتاجية في البيئات السحابية أو الموزعة.
الشروط والمتطلبات
- إتقان قوي للغة R مع خبرة عملية في بيئات الإنتاج.
- خبرة في العمل مع البيانات البيولوجية أو السريرية أو بيانات علوم الحياة، بما في ذلك معالجة البيانات وتحليلها وتصورها.
- خبرة مثبتة في بناء تطبيقات ويب باستخدام R Shiny أو JavaScript.
- خبرة في إنشاء وصيانة وتوثيق حزم R.
- فهم قوي لـ Git وسير عمل تطوير البرمجيات التعاوني.
- درجة ماجستير في المعلوماتية الحيوية، علوم البيانات، علوم الحاسب، الإحصاء الحيوي، الرياضيات، أو مجال ذي صلة (أو خبرة معادلة).
- فهم متين لمفاهيم علوم الحياة مثل البيولوجيا الجزيئية، علم الجينوم، أو البحث السريري أمر مرغوب للغاية.
- القدرة على ترجمة المتطلبات العلمية المعقدة إلى حلول تقنية قابلة للتوسع.
- مهارات تواصل وتعاون قوية، خاصة عند العمل مع أصحاب المصلحة العلميين.
- خبرة في مسارات العمل القابلة للتكرار، قواعد البيانات، أو المنصات السحابية تعتبر ميزة إضافية.
المزايا
- وظيفة عن بُعد بالكامل مع ساعات عمل مرنة تدعم العمل العميق والتوازن بين العمل والحياة.
- تعويض تنافسي يتناسب مع الخبرة والكفاءة في R وعلوم الحياة.
- فرصة للعمل على مشاريع هادفة في اكتشاف الأدوية والتجارب السريرية والبحوث الطبية الحيوية.
- التعاون مع علماء ومتخصصين في المعلوماتية الحيوية وهندسة البيانات على مستوى عالمي.
- وقت وميزانية مخصصة للتعلم المستمر والمؤتمرات والتطوير المهني.
- ثقافة قوية للاستقلالية والملكية والتميز الهندسي.
- فرصة للمساهمة في أدوات مؤثرة تستخدمها منظمات بحثية عالمية.
عرض النص الأصلي للإعلان
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Life Science Background based in Saudi Arabia.
This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications that support critical research in areas such as drug discovery, clinical trials, and biomedical analytics. You will work closely with scientists, bioinformaticians, and data engineers to transform complex biological datasets into interactive, production-grade tools that support real-world scientific and clinical decision-making. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics. You will design and develop scalable Shiny applications and reusable R packages used by global research teams. The role offers deep ownership across the full lifecycle of data-driven applications. It is ideal for someone passionate about both coding and advancing life sciences through technology.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications that support critical research in areas such as drug discovery, clinical trials, and biomedical analytics. You will work closely with scientists, bioinformaticians, and data engineers to transform complex biological datasets into interactive, production-grade tools that support real-world scientific and clinical decision-making. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics. You will design and develop scalable Shiny applications and reusable R packages used by global research teams. The role offers deep ownership across the full lifecycle of data-driven applications. It is ideal for someone passionate about both coding and advancing life sciences through technology.
Accountabilities
- Design, develop, and maintain high-quality R and Shiny applications supporting biological and clinical data analysis workflows.
- Process, analyze, and visualize complex life science datasets, ensuring accuracy, reproducibility, and usability of outputs.
- Build and maintain reusable R packages and data processing components to support scalable analytics solutions.
- Collaborate with scientists, bioinformaticians, and stakeholders to gather requirements and translate them into technical solutions.
- Develop and optimize interactive data visualization tools to support research and clinical decision-making.
- Work with version control systems such as Git to manage collaborative development and code quality.
- Contribute to system design discussions, backlog refinement, and continuous improvement of development practices.
- Support deployment and maintenance of production-grade data applications in cloud or distributed environments.
- Strong proficiency in R programming with hands-on experience in production environments.
- Experience working with biological, clinical, or life science data, including data processing, analysis, and visualization.
- Proven experience building web applications using R Shiny or JavaScript.
- Experience creating, maintaining, and documenting R packages.
- Strong understanding of Git and collaborative software development workflows.
- Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics, or related field (or equivalent experience).
- Solid understanding of life science concepts such as molecular biology, genomics, or clinical research is highly desirable.
- Ability to translate complex scientific requirements into scalable technical solutions.
- Strong communication and collaboration skills, especially when working with scientific stakeholders.
- Experience with reproducible pipelines, databases, or cloud platforms is a plus.
- Fully remote role with flexible working hours supporting deep work and work-life balance.
- Competitive compensation aligned with experience and expertise in R and life sciences.
- Opportunity to work on meaningful projects in drug discovery, clinical trials, and biomedical research.
- Collaboration with world-class scientists, bioinformaticians, and data engineers.
- Time and budget allocated for continuous learning, conferences, and professional development.
- Strong culture of autonomy, ownership, and engineering excellence.
- Opportunity to contribute to impactful tools used by global research organizations.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
المصدر: LinkedIn - أُضيفت للموقع في 1 يوليو 2026
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