1 to 25 of 40 Permanent Bioinformatics Jobs

to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding More ❯

to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding More ❯

maintain robust data infrastructures , including relational and graph databases. Collaborate closely with interdisciplinary teams of chemists, engineers, and software developers. Skillset required: PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics , or equivalent experience. 3+ years’ experience in full-stack software development (Python + React specifically) Experience designing and implementing backend services and APIs exclusively using Python frameworks such as FastAPI. More ❯

develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. * - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of More ❯

AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with More ❯

administration, automation, and managing HPC environments. Strong analytical and problem-solving skills to address complex computational challenges and develop efficient solutions. Domain-specific knowledge in areas like physics, engineering, bioinformatics, or finance, depending on the application domain of the HPC projects. Effective communication skills and the ability to collaborate with interdisciplinary teams of scientists, engineers, and domain experts to understand More ❯

pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers More ❯

liaison to BU departments providing computing resources or technical support, including IS&T Research Computing, the Hariri Institute's SAIL, and Medical Campus cores such as BEDAC and the Bioinformatics Core. Technical Consultancy - 10% Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration. Guide innovation More ❯

Portal and new web applications. Contribute to technical architecture for new tools, and help evolve the existing platform's design and long-term maintainability. Collaborate cross-functionally with product, bioinformatics, and platform teams to translate scientific needs into user-focused tools. Lead by example through hands on coding, code reviews, and mentoring junior engineers. Ensure scalability and reliability of the More ❯

pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of generative AI and large More ❯

implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment. Essential Duties Include, but are not limited to … the following: Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. Develop perspectives on "AI technology affordance": what do these advances in AI technology allow us to do (more efficiently and/or more effectively) that we … couldn't do before. Work with stakeholders to discover and refine requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications. Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. Work with other More ❯

Job Title: Data Architect Senior - Clinical Excellence Degree Required: Masters degree or equivalent foreign education Academic Discipline(s): Computer Science, Information Systems, Bioinformatics, Statistics, or a closely related field Experience Required: 0 years of experience Job Description: Provide leadership in developing data marts, designing data models, implementing ETL processes, and ensuring data usability for clients. Lead the physical design and More ❯

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co More ❯

develop awareness of responsible AI practices, including risk management and ethical use. Education Master's degree or higher in a quantitative discipline (e.g., engineering, mathematics, physics, chemistry, economics, bioengineering, bioinformatics, or related field) plus significant relevant commercial experience. Bachelor's degree in a quantitative discipline plus extensive relevant commercial experience may be considered. Responsibilities Synopsis: Lead the development and delivery More ❯

Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯

and scientists driving global pathogen research. Key Responsibilities: Manage our object data storage, ensuring efficient design, tiering, and access controls Build and manage our research compute environment for running bioinformatics pipelines and interactive analytics Ensure the data platform meets disaster recovery standards Ensure cloud resources are managed according to set standards and that deployments are automated Collaborate with the AI More ❯

technical concepts clearly. You'll also be proficient in CI/CD practices, source control tools like Git or SVN, and writing robust unit tests. Experience in biotech or bioinformatics is a plus, as is familiarity with Xilinx FPGA and professional Linux certification. Your collaborative nature and ability to work across teams and organisations will be key to your success. More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

be joining a cross-functional team working alongside architects, platform engineers, and data engineers to build infrastructure that empowers scientists to access the data they need for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS More ❯

be joining a cross-functional team working alongside architects, platform engineers, and data engineers to build infrastructure that empowers scientists to access the data they need for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS More ❯

re now hiring a Senior DevSecOps Engineer to help build and secure this cloud-first data platform. You'll drive automation, embed security, and collaborate across engineering, data, and bioinformatics teams to deliver scalable, reliable infrastructure. What you'll do Design and maintain secure cloud infrastructure (Oracle Cloud Infrastructure). Build IaC with Terraform for consistent, automated deployments. Develop CI More ❯