1 to 25 of 42 Bioinformatics Jobs

product teams to translate scientific findings into scalable tools. Contribute to model evaluation, explainability, and validation across diverse data sources. About You PhD in Machine Learning, Computational Biology, Statistics, Bioinformatics, or related quantitative field. Background in cardiovascular, cardiometabolic, or precision medicine research. Proven experience developing deep learning models using Python, PyTorch, or TensorFlow. Strong understanding of statistical modelling, causal reasoning More ❯

product teams to translate scientific findings into scalable tools. Contribute to model evaluation, explainability, and validation across diverse data sources. About You PhD in Machine Learning, Computational Biology, Statistics, Bioinformatics, or related quantitative field. Background in cardiovascular, cardiometabolic, or precision medicine research. Proven experience developing deep learning models using Python, PyTorch, or TensorFlow. Strong understanding of statistical modelling, causal reasoning 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 ❯

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 ❯

expertise with administering HPC job schedulers (Slurm preferred) and parallel file systems (Lustre, BeeGFS, GPFS). At all levels: Familiarity with containerization, workflow automation, and orchestration tools used in bioinformatics and AI/ML. Skilled in scripting and automation using Python, Bash, and configuration management tools (Ansible, Terraform). Demonstrated experience profiling and optimizing scientific or machine learning workloads on 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 ❯

Bioinformatics | Data Engineer 📍 London OR Oxford About the Company We are a growing TechBio organization using data science and machine learning to accelerate drug discovery. Our teams integrate multi-omics and functional assay data to uncover insights into disease biology and therapeutic development. The Role We’re seeking a Bioinformatics Data Engineer to design, build, and optimize data pipelines that … collaborate closely with scientists, bioinformaticians, and ML engineers to deliver robust, compliant, and reusable data solutions that drive research and discovery. Key Responsibilities Develop and maintain ETL pipelines for bioinformatics and omics datasets across cloud and on-prem environments. Standardize and harmonize diverse data sources, ensuring metadata quality and FAIR compliance. Integrate multi-modal datasets (genomic, transcriptomic, proteomic, imaging, etc. … control, and lineage tracking. Support analytics, visualization, and machine learning workflows. Contribute to data governance practices covering access, privacy, and lifecycle management. Qualifications Bachelor’s or Master’s in Bioinformatics, Computer Science, Data Engineering, or related field. 4+ years of experience in data engineering or bioinformatics data management. Strong Python and SQL skills; experience with Pandas, PySpark, Dask, or similar More ❯

Bioinformatics | Data Engineer 📍 London OR Oxford About the Company We are a growing TechBio organization using data science and machine learning to accelerate drug discovery. Our teams integrate multi-omics and functional assay data to uncover insights into disease biology and therapeutic development. The Role We’re seeking a Bioinformatics Data Engineer to design, build, and optimize data pipelines that … collaborate closely with scientists, bioinformaticians, and ML engineers to deliver robust, compliant, and reusable data solutions that drive research and discovery. Key Responsibilities Develop and maintain ETL pipelines for bioinformatics and omics datasets across cloud and on-prem environments. Standardize and harmonize diverse data sources, ensuring metadata quality and FAIR compliance. Integrate multi-modal datasets (genomic, transcriptomic, proteomic, imaging, etc. … control, and lineage tracking. Support analytics, visualization, and machine learning workflows. Contribute to data governance practices covering access, privacy, and lifecycle management. Qualifications Bachelor’s or Master’s in Bioinformatics, Computer Science, Data Engineering, or related field. 4+ years of experience in data engineering or bioinformatics data management. Strong Python and SQL skills; experience with Pandas, PySpark, Dask, or similar More ❯

research workflows Support strategic data science initiatives and mentor junior colleagues Communicate findings across teams and represent the company externally What They’re Looking For Strong academic background in Bioinformatics, Computational Biology, Data Science, or related field (advanced degree preferred) Hands-on experience applying ML to biological or biomedical data Proficient in Python and modern ML frameworks Solid understanding of More ❯

research workflows Support strategic data science initiatives and mentor junior colleagues Communicate findings across teams and represent the company externally What They’re Looking For Strong academic background in Bioinformatics, Computational Biology, Data Science, or related field (advanced degree preferred) Hands-on experience applying ML to biological or biomedical data Proficient in Python and modern ML frameworks Solid understanding of 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 ❯

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 ❯

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 ❯

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 ❯

required as necessary to meet with clients. Frequency of travel is dictated by business need, estimated at 1-3 short visits per year. You will have: A Life sciences, bioinformatics or software-related bachelors degree (2.1 or higher) or equivalent (relevant post graduate qualification desirable) 2+ years relevant professional experience in a customer facing role (such as at a CRO 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 ❯

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 frameworks for AI model development. Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable. Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare. Effective communication and collaboration abilities, with the capacity to More ❯

/ML evaluation techniques, including safety and robustness testing. Familiarity with benchmarking and performance evaluation of ML models. Degree in a quantitative or engineering discipline (e.g., Computer Science, Engineering, Bioinformatics) or equivalent professional experience. What You Might Be Doing As a AI/ML Developer at GSK, you could get involved with: Designing and implementing safety metrics for generative AI More ❯

of clinical-grade software for high throughput and high quality clinical genomics. Skills and experience in testing, deployment and DevOps principles are valued. Our team provides best practice clinical bioinformatics through our cloud-infrastructure. The role is focused on bioinformatics service delivery to support clinical testing, and you will work with a wide range of personnel in the EGLH region … to this end. Candidates without clinical bioinformatics experience are encouraged to apply; training and support will be provided. Main duties of the job 1. Validation and verification of clinical bioinformatics software 2. Documentation and support of clinical bioinformatics software 3. Continued improvement of clinical bioinformatics tools, processes and workflows for delivery of genomic diagnostic services 4. Planning and management of … bioinformatics software deployment; includes working closely with technical, scientific and clinical functions of the genomic laboratory 5. Investigation and resolution of complex bioinformatics issues by examination of input & output data, and associated bioinformatics processes; includes communication to technical, scientific and clinical staff About us Our Trust Cambridge University Hospitals (CUH) NHS Foundation Trust comprises Addenbrooke's Hospital and the Rosie 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 ❯

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 ❯

Excellent communication and project coordination abilities, with experience managing multiple customers or projects simultaneously. Skills: Python/Java SQL Docker Analytical Linux Education: Bachelor's degree in computer science, Bioinformatics, Computational Biology, or a related technical field (or equivalent practical experience) About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent More ❯