our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza … R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza's capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics … pipelines to facilitate complex dataanalysis and integration. Supports onboarding and development of data analysis tools used bymultidisciplinary teams across Lonza. Drives digital innovation in biomanufacturing by enhancing data science,bioinformatics and statistical capabilities. Manages internal and external collaborations with academic andcommercial partners. Leads, mentors and trains junior team members. What we're looking for: PhD with at least 2 years More ❯
discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We are seeking a Machine … machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow More ❯
Best Workplaces for Women, Best Workplaces for Millennials, and Best Medium Workplaces lists. Summary Insmed Cambridge is looking for a talented Data Scientist or Statistician to join our growing bioinformatics team! Apply your expertise in data science, statistics and programming to accelerate drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making More ❯
working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python More ❯
leadership. Lead a team of 2 computational scientists in the application of large-scale multiomics and genetic capabilities to support our pipeline and advance data and technological approaches in bioinformatics & integrative data analytics. Partner with Neuroscience Discovery on strategy and process for evaluating target opportunities from the perspective of cutting-edge genetics, bioinformatics, biosignatures, brain biology, and mechanism, drawing upon More ❯
